Scalability improvement in a system which incrementally updates clients with events that occurred in a cloud-based collaboration platform

Abstract

Techniques are disclosed for improving scalability in a system which incrementally updates remote clients with events that occurred in a cloud-enabled platform. In one embodiment, a method comprises, in response to an action from a user in the cloud-enabled platform, determining a list of events to update one or more collaborators of the user about the action. The method further comprises separating the list of events into a plurality of sub-lists of events such that each sub-list of events can be stored in a database within a designated amount of time, and further comprises storing the plurality of sub-lists of events into the database to be read by the one or more collaborators. Among other advantages, embodiments disclosed herein provide enhancement in scalability, robustness and availability for cloud-based collaboration platforms with large numbers of collaborators by incorporating mechanisms to divide-and-conquer the workload of event updates in such platforms.

Description

BACKGROUND

The use of electronic and digital content has greatly increased in enterprise settings or other organizations as the preferred mechanism for project, task, and work flow management, as has the need for streamlined collaboration and sharing of digital content and documents. In such an environment, multiple users share, access and otherwise perform actions or tasks on content and files in a shared workspace, where any number of users may have access to a given file or may want to or need to perform an action on the file at any given time.

The cloud-based nature of such an environment enables users/collaborators to access, view, edit content anytime, from any device, or using any number of and/or types of clients, simultaneously while other collaborators in the same group, enterprise, or other types of organizations may also be accessing, viewing, or editing the same file or content or content in the same work group. Among others, the different types of clients and the number of devices which can be used to access a single account or work item or cloud content in the cloud-based environment create problems of maintaining consistency and correct ordering in how changes are reflected at the clients that are used by users/collaborators. Updating a large number of collaborators within a limited amount of time when actions take place in the cloud-based environment further presents extra challenges.

BRIEF DESCRIPTION OF DRAWINGS

The present embodiments are illustrated by way of example and are not intended to be limited by the figures of the accompanying drawings. In the drawings:

FIG. 1 depicts an example diagram of a system having improved scalability in a host server of a cloud-based service, collaboration and/or cloud storage platform that incrementally updates remote clients at devices with events that occurred via the platform;

FIG. 2 depicts an example diagram of a web-based or online collaboration platform deployed in an enterprise or other organizational setting for organizing work items and workspaces;

FIG. 3 depicts an example diagram of a workspace in a cloud-based platform such as an online or web-based collaboration environment accessible by multiple collaborators through various devices;

FIG. 4A depicts an example system block diagram showing the interaction between server-side components for incrementally updating a remote client with events or actions that occurred via a cloud-based platform;

FIG. 4B depicts an example block diagram showing the interaction of remote clients and with a distributed database cluster for incremental updates of events/actions which occurred at a cloud-based environment;

FIG. 5 depicts an example system block diagram showing action log entries recorded from actions/interactions on or with files/content stored in a database of a cloud-based environment;

FIG. 6A depicts an example system block diagram showing a system for incrementally updating a remote client with events or actions that occurred via a cloud-based platform with improved scalability capabilities;

FIG. 6B depicts examples of entries in the action log and the action log chunk illustrated in FIG. 6A;

FIG. 7 depicts a flowchart illustrating an example process for a system that incrementally updates remote clients at devices with events that occurred via the platform to implement the disclosed techniques for enhancing scalability;

FIG. 8A depicts a flowchart illustrating further example details of the process of FIG. 7;

FIG. 8B depicts a flowchart illustrating an alternative process of FIG. 8A; and

FIG. 9 depicts a diagrammatic representation of a machine in the example form of a computer system within which a set of instructions, for causing the machine to perform any one or more of the methodologies discussed herein, can be executed.

The same reference numbers and any acronyms identify elements or acts with the same or similar structure or functionality throughout the drawings and specification for ease of understanding and convenience.

DETAILED DESCRIPTION

Techniques are disclosed for improving scalability in a system which incrementally updates remote clients with events that occurred in a cloud-enabled platform. In one embodiment, a method comprises, in response to an action from a user in the cloud-enabled platform, determining a list of events to update one or more collaborators of the user about the action. The method further comprises separating the list of events into a plurality of sub-lists of events such that each sub-list of events can be stored in a database within a designated amount of time, and further comprises storing the plurality of sub-lists of events into the database to be read by the one or more collaborators. Among other advantages, embodiments disclosed herein provide enhancement in scalability, robustness and availability for cloud-based collaboration platforms with large numbers of collaborators by incorporating mechanisms to divide-and-conquer the workload of event updates in such platforms.

The following description and drawings are illustrative and are not to be construed as limiting. Numerous specific details are described to provide a thorough understanding of the disclosure. However, in certain instances, well-known or conventional details are not described in order to avoid obscuring the description. References to one or an embodiment in the present disclosure can be, but not necessarily are, references to the same embodiment; and, such references mean at least one of the embodiments.

Reference in this specification to “one embodiment” or “an embodiment” means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment of the disclosure. The appearances of the phrase “in one embodiment” in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Moreover, various features are described which can be exhibited by some embodiments and not by others. Similarly, various requirements are described which can be requirements for some embodiments but not other embodiments.

The terms used in this specification generally have their ordinary meanings in the art, within the context of the disclosure, and in the specific context where each term is used. Certain terms that are used to describe the disclosure are discussed below, or elsewhere in the specification, to provide additional guidance to the practitioner regarding the description of the disclosure. For convenience, certain terms can be highlighted, for example using italics and/or quotation marks. The use of highlighting has no influence on the scope and meaning of a term; the scope and meaning of a term is the same, in the same context, whether or not it is highlighted. It will be appreciated that same thing can be said in more than one way.

Consequently, alternative language and synonyms can be used for any one or more of the terms discussed herein, nor is any special significance to be placed upon whether or not a term is elaborated or discussed herein. Synonyms for certain terms are provided. A recital of one or more synonyms does not exclude the use of other synonyms. The use of examples anywhere in this specification including examples of any terms discussed herein is illustrative only, and is not intended to further limit the scope and meaning of the disclosure or of any exemplified term. Likewise, the disclosure is not limited to various embodiments given in this specification.

Without intent to limit the scope of the disclosure, examples of instruments, apparatus, methods and their related results according to the embodiments of the present disclosure are given below. Note that titles or subtitles can be used in the examples for convenience of a reader, which in no way should limit the scope of the disclosure. Unless otherwise defined, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains. In the case of conflict, the present document, including definitions will control.

FIG. 1 illustrates an example diagram of a system having repository redundancy capabilities in a host server 100 of a cloud-based service, collaboration and/or cloud storage platform that incrementally updates remote clients (e.g., clients 110, 120, 130, 140, 160, 170) at devices 102 with events that occurred via the platform hosted by the server 100.

The client devices 102 can be any system and/or device, and/or any combination of devices/systems that is able to establish a communication or a connection, including wired, wireless, cellular connections with another device, a server and/or other systems such as host server 100 and/or a notification server 150. Client devices 102 typically include a display and/or other output functionalities to present information and data exchanged between among the devices 102, the notification server 150, and/or the host server 100.

For example, the client devices 102 can include mobile, hand held or portable devices or non-portable devices and can be any of, but not limited to, a server desktop, a desktop computer, a computer cluster, or portable devices including, a notebook, a laptop computer, a handheld computer, a palmtop computer, a mobile phone, a cell phone, a PDA, a smart phone (e.g., a BlackBerry device such as BlackBerry Z10/Q10, an iPhone, Nexus 4, etc.), a Treo, a handheld tablet (e.g. an iPad, iPad Mini, a Galaxy Note, Galaxy Note II, Xoom Tablet, Microsoft Surface, Blackberry PlayBook, Nexus 7, 10 etc.), a phablet (e.g., HTC Droid DNA, etc.), a tablet PC, a thin-client, a hand held console, a hand held gaming device or console (e.g., XBOX live, Nintendo DS, Sony PlayStation Portable, etc.), mobile-enabled powered watch (e.g., iOS, Android or other platform based), Google Glass, a Chromebook and/or any other portable, mobile, hand held devices, etc. running on any platform or any operating system (e.g., Mac-based OS (OS X, iOS, etc.), Windows-based OS (Windows Mobile, Windows 7, Windows 8, etc.), Android, Blackberry OS, Embedded Linux platforms, Palm OS, Symbian platform, Google Chrome OS, and the like. In one embodiment, the client devices 102, host server 100, and/or the notification server 150 (e.g., a server hosting application 120) are coupled via a network 106. In some embodiments, the devices 102 and host server 100 and/or notification server 150 may be directly connected to one another.

The input mechanism on client devices 102 can include touch screen keypad (including single touch, multi-touch, gesture sensing in 2D or 3D, etc.), a physical keypad, a mouse, a pointer, a track pad, motion detector (e.g., including 1-axis, 2-axis, 3-axis accelerometer, etc.), a light sensor, capacitance sensor, resistance sensor, temperature sensor, proximity sensor, a piezoelectric device, device orientation detector (e.g., electronic compass, tilt sensor, rotation sensor, gyroscope, accelerometer), or a combination of the above.

Signals received or detected indicating user activity at client devices 102 through one or more of the above input mechanism, or others, can be used by various users or collaborators (e.g., collaborators 108) for accessing, through network 106, a web-based collaboration environment or online collaboration platform (e.g., hosted by the host server 100). The collaboration environment or platform can have one or more collective settings 125 for an enterprise or an organization that the users belong, and can provide an user interface 104 for the users to access such platform under the settings 125.

The collaboration platform or environment hosts workspaces with work items that one or more users can access (e.g., view, edit, update, revise, comment, download, preview, tag, or otherwise manipulate, etc.). A work item can generally include any type of digital or electronic content that can be viewed or accessed via an electronic device (e.g., device 102). The digital content can include .pdf files, .doc, slides (e.g., Powerpoint slides), images, audio files, multimedia content, web pages, blogs, etc. A workspace can generally refer to any grouping of a set of digital content in the collaboration platform. The grouping can be created, identified, or specified by a user or through other means. This user may be a creator user or administrative user, for example.

In general, a workspace can be associated with a set of users or collaborators (e.g., collaborators 108) which have access to the content included therein. The levels of access (e.g., based on permissions or rules) of each user or collaborator to access the content in a given workspace may be the same or may vary among the users. Each user may have their own set of access rights to every piece of content in the workspace, or each user may be different access rights to different pieces of content. Access rights may be specified by a user associated with a workspace and/or a user who created/uploaded a particular piece of content to the workspace, or any other designated user or collaborator.

In general, the collaboration platform allows multiple users or collaborators to access or collaborate efforts on work items such each user can see, remotely, edits, revisions, comments, or annotations being made to specific work items through their own user devices. For example, a user can upload a document to a workspace for other users to access (e.g., for viewing, editing, commenting, signing-off, or otherwise manipulating). The user can login to the online platform and upload the document (or any other type of work item) to an existing workspace or to a new workspace. The document can be shared with existing users or collaborators in a workspace.

In general, network 106, over which the client devices 102 and the host server 100 communicate may be a cellular network, a telephonic network, an open network, such as the Internet, or a private network, such as an intranet and/or the extranet, or any combination or variation thereof. For example, the Internet can provide file transfer, remote log in, email, news, RSS, cloud-based services, instant messaging, visual voicemail, push mail, VoIP, and other services through any known or convenient protocol, such as, but is not limited to the TCP/IP protocol, Open System Interconnections (OSI), FTP, UPnP, iSCSI, NSF, ISDN, PDH, RS-232, SDH, SONET, etc.

The network 106 can be any collection of distinct networks operating wholly or partially in conjunction to provide connectivity to the client devices 102 and the host server 100 and may appear as one or more networks to the serviced systems and devices. In one embodiment, communications to and from the client devices 102 can be achieved by, an open network, such as the Internet, or a private network, such as an intranet and/or the extranet. In one embodiment, communications can be achieved by a secure communications protocol, such as secure sockets layer (SSL), or transport layer security (TLS).

In addition, communications can be achieved via one or more networks, such as, but are not limited to, one or more of WiMax, a Local Area Network (LAN), Wireless Local Area Network (WLAN), a Personal area network (PAN), a Campus area network (CAN), a Metropolitan area network (MAN), a Wide area network (WAN), a Wireless wide area network (WWAN), or any broadband network, and further enabled with technologies such as, by way of example, Global System for Mobile Communications (GSM), Personal Communications Service (PCS), Bluetooth, WiFi, Fixed Wireless Data, 2G, 2.5G, 3G (e.g., WCDMA/UMTS based 3G networks), 4G, IMT-Advanced, pre-4G, LTE Advanced, mobile WiMax, WiMax 2, WirelessMAN-Advanced networks, enhanced data rates for GSM evolution (EDGE), General packet radio service (GPRS), enhanced GPRS, iBurst, UMTS, HSPDA, HSUPA, HSPA, HSPA+, UMTS-TDD, 1×RTT, EV-DO, messaging protocols such as, TCP/IP, SMS, MMS, extensible messaging and presence protocol (XMPP), real time messaging protocol (RTMP), instant messaging and presence protocol (IMPP), instant messaging, USSD, IRC, or any other wireless data networks, broadband networks, or messaging protocols.

A diagrammatic illustration of the cloud-based environment (e.g., collaboration environment) and the relationships between workspaces and users/collaborators are illustrated with further reference to the example of FIG. 2. A diagrammatic illustration of a workspace having multiple work items with which collaborators can access through multiple devices is illustrated with further reference to the example of FIG. 3.

Embodiments of the present disclosure relate to providing scalability and robustness to a system that updates or informs remote clients 110-170 on user devices 102 based on events, actions, or changes (e.g., from user edits, updates, comments, etc.) that occurred in the cloud environment hosted by the host server 100.

In general, multiple users collaborate in the cloud-based environment hosted by server 100, and the user devices 102 of these users need to be appropriately updated such that the most current versions of data/content are synchronized with the relevant user devices and that notification of events are sent to the relevant devices/users in a timely and orderly fashion. Any given user can utilize any number and types of clients (e.g., sync client, real time web client, mobile sync client, mobile application, email client, server sync client, etc.) at any given time. Thus, the host server 100 described herein facilitates the orderly syncing or updating of the remote clients 110-170 which a given user/collaborator may use to access the cloud platform via any number of user devices 102.

In general, when a user action takes place, the user action is processed (e.g., as described in FIGS. 4A-4B below) to become a plurality of event entries each corresponding to a collaborator 175, and each event entry can be read by a remote client of the collaborator to reflect the user action.

The embodiments disclosed herein recognize that existing techniques of updating clients of collaborators with events that occurred in the cloud-based collaboration platform impose a bottleneck on the scalability of the platform. As discussed in more detail with respect to FIGS. 4A-4B and 6A-6B below, with the existing techniques, in order to guarantee that collaborators 108a can successfully receive event updates regarding an action that took place (e.g., a “renaming” or an “edit”) by scanning their respective queues (e.g., in the repository 130 and/or the distributed repository 180), the action has to be completely stored in the repository within a certain amount of time (e.g., 5 seconds). However, among other causes (e.g., network issues or repository database software issues), when the number of collaborators 175 becomes sufficiently large, it may become very difficult and sometimes even impossible to write all the event entries into the repository 130, 180 within the designated time period.

Accordingly, embodiments of the present disclosure provide capabilities to divide-and-conquer the workload of event updates using components (discussed in more details with respect to FIGS. 6A-6B) that can separate the event entries into chunks so that each chunk of event entries can be successfully stored in repository 130, 180 within the designated amount of time, thereby providing scalability to the cloud-based collaboration platform. Additionally, with the disclosed techniques, even in some situation where one or more chunks of event entries fail to completely store into the repository 130, 180, the likelihood of success in a second retry can be increased because the number of event entries needs to be written into the repository 130, 180 is decreased as compared to the original, undivided workload.

More implementation details regarding the host server 100, the repository 130, distributed data cluster 180, and various techniques in implementing repository redundancy are discussed below.

FIG. 2 depicts an example diagram of a web-based or online collaboration platform deployed in an enterprise or other organizational setting 250 for organizing work items 215, 235, 255 and workspaces 205, 225, 245.

The web-based platform for collaborating on projects or jointly working on documents can be used by individual users and shared among collaborators. In addition, the collaboration platform can be deployed in an organized setting including but not limited to, a company (e.g., an enterprise setting), a department in a company, an academic institution, a department in an academic institution, a class or course setting, or any other types of organizations or organized setting.

When deployed in an organizational setting, multiple workspaces (e.g., workspace A, B C) can be created to support different projects or a variety of work flows. Each workspace can have its own associate work items. For example, workspace A 205 can be associated with work items 215, workspace B 225 can be associated with work items 235, and workspace N can be associated with work items 255. The work items 215, 235, and 255 can be unique to each workspace but need not be. For example, a particular word document can be associated with only one workspace (e.g., workspace A 205) or it can be associated with multiple workspaces (e.g., Workspace A 205 and workspace B 225, etc.).

In general, each workspace has a set of users or collaborators associated with it. For example, workspace A 205 is associated with multiple users or collaborators 206. In some instances, workspaces deployed in an enterprise can be department specific. For example, workspace B can be associated with department 210 and some users shown as example user A 208 and workspace N 245 can be associated with departments 212 and 216 and users shown as example user B 214.

Each user associated with a workspace can generally access the work items associated with the workspace. The level of access depends on permissions associated with the specific workspace, and/or with a specific work item. Permissions can be set for the workspace or set individually on a per work item basis. For example, the creator of a workspace (e.g., one of user A 208 who creates workspace B) can set one permission setting applicable to all work items 235 for other associated users and/or users associated with the affiliate department 210, for example. Creator user A 208 can also set different permission settings for each work item, which can be the same for different users, or varying for different users.

In each workspace A, B . . . N, when an action is performed on a work item by a given user or any other activity is detected in the workspace, other users in the same workspace can be notified (e.g., in real time or in near real time, or not in real time). Activities which trigger real time notifications can include, by way of example but not limitation, adding, deleting, or modifying collaborators in the workspace, uploading, downloading, adding, deleting a work item in the workspace, creating a discussion topic in the workspace.

In some embodiments, items or content downloaded or edited can cause notifications to be generated. Such notifications can be sent to relevant users to notify them of actions surrounding a download, an edit, a change, a modification, a new file, a conflicting version, an upload of an edited or modified file.

In one embodiment, in a user interface to the web-based collaboration platform where notifications are presented, users can, via the same interface, create action items (e.g., tasks) and delegate the action items to other users including collaborators pertaining to a work item 215, for example. The collaborators 206 can be in the same workspace A 205 or the user can include a newly invited collaborator. Similarly, in the same user interface where discussion topics can be created in a workspace (e.g., workspace A, B or N, etc.), actionable events on work items can be created and/or delegated/assigned to other users such as collaborators of a given workspace 206 or other users. Through the same user interface, task status and updates from multiple users or collaborators can be indicated and reflected. In some instances, the users can perform the tasks (e.g., review or approve or reject, etc.) via the same user interface.

FIG. 3 depicts an example diagram of a workspace 302 in an online or web-based collaboration environment accessible by multiple collaborators 322 through various devices.

Each of users 316, 318, and 320 can individually use multiple different devices to access and/or manipulate work items 324 in the workspace 302 with which they are associated with. For example users 316, 318, 320 can be collaborators on a project to which work items 324 are relevant. Since the work items 324 are hosted by the collaboration environment (e.g., a cloud-based environment), each user can access the work items 324 anytime, and from any physical location using any device (e.g., including devices they own or any shared/public/loaner device).

Work items to be edited or viewed can be accessed from the workspace 302. Users can also be notified of access, edit, modification, and/or upload related-actions performed on work items 324 by other users or any other types of activities detected in the workspace 302. For example, if user 316 modifies a document, one or both of the other collaborators 318 and 320 can be notified of the modification in real time, or near real-time, or not in real time. The notifications can be sent through any of all of the devices associated with a given user, in various formats including, one or more of, email, SMS, or via a pop-up window in a user interface in which the user uses to access the collaboration platform. In the event of multiple notifications, each notification can be depicted preferentially (e.g., ordering in the user interface) based on user preferences and/or relevance to the user (e.g., implicit or explicit).

For example, a notification of a download, access, read, write, edit, or uploaded related activities can be presented in a feed stream among other notifications through a user interface on the user device according to relevancy to the user determined based on current or recent activity of the user in the web-based collaboration environment.

In one embodiment, the notification feed stream further enables users to create or generate actionable events (e.g., as task) which are or can be performed by other users 316 or collaborators 322 (e.g., including admin users or other users not in the same workspace), either in the same workspace 302 or in some other workspace. The actionable events such as tasks can also be assigned or delegated to other users via the same user interface.

For example, a given notification regarding a work item 324 can be associated with user interface features allowing a user 316 to assign a task related to the work item 324 (e.g., to another user 316, admin user 318, creator user 320 or another user). In one embodiment, a commenting user interface or a comment action associated with a notification can be used in conjunction with user interface features to enable task assignment, delegation, and/or management of the relevant work item or work items in the relevant workspaces, in the same user interface.

FIG. 4A depicts an example system block diagram showing the interaction between server-side components for incrementally updating a remote client with events or actions that occurred via a cloud-based platform.

The server-side includes front end components 402A-N, a database 410, a dispatcher 430, one or more processors 440A-N, and a second database (e.g., HBase 460). The front end components 402A-N can interface with client devices/end user devices to detect/identify actions or transactions or events. The data or file change that occur as a result of the event is effectuated in the database 410 of the cloud-enabled platform (e.g., the relevant changes are made in the file table 411 of the database).

Depending on the type of action or event, an action log entry can be created and stored in the action log table or action log 416. In general, the front end 402 determines whether an action log entry is created from a given action or transaction. In general, an action log entry can be created for an action or event if certain durability requirements are to be met. The dispatcher 430 reads the action log entries from the action log 416 and sends them to the processors 440A-N where the fan-out, or collaborators to be notified of the event or to receive the file/data change as a result of the event is determined. Based on the computed fan-out or identified collaborators, the processors 440A-N writes the events/transactions to the relevant queues in the second database 460, from which remote clients can read.

It is noted also that the action log 416, the dispatcher 430, the processors 440A-N, the HBase 460, and one or more real time clients 470A-N (see FIG. 4B) are generally referred to as an “action log framework (ALF) 490.” More specifically, HBase 460 is a primary data repository of the ALF 490. User actions initiated (e.g., via the webapp or the API) result in rows (or action log entries) being written to the action log 416 (or action log table 416). Then, in some embodiments, the action log entries are read from action log 416 by the ALF dispatcher 430, de-normalized into separate entries per user that needs to be notified of the action by an ALF processor (e.g., processor 440A), and written to the HBase 460. The HBase 460 is in turn read (e.g., via an API web service call) by real time clients 470A-N to notify a collaborator of the new change.

FIG. 4B depicts an example block diagram showing the interaction of remote clients 470A-N and 480A-N with a distributed database cluster 460 for incremental updates of events/actions which occurred at a cloud-based environment. The remote clients can include, for example real time clients 470A-N (e.g., real-time web clients launched via a web browser, mobile application), and synchronization clients 480A-N (e.g., desktop sync, mobile sync, server sync, etc.) that users or collaborators use to interface/access the cloud-based platform including, but not limited to, a collaboration environment. Other types of clients may also read from the database cluster 460.

The queues in the database 460 (e.g., the distributed database cluster) are usually client type specific. For example, each queue is for a given client type for one given user. So, a user ‘A’ may have a sync client queue that all of the sync clients that user “A” uses reads from since user “A” may have multiple devices on which sync clients are installed. In general, the queues for clients in the database 460 are read only queues such that multiple clients can read from the same queue without making modifications. In this manner, if a user utilizes multiple sync clients, each client can still receive and detect the respective updates such that multiple devices can be synchronized. The remote clients also typically individually track the location in the queue from which they last read such that only the most recent events are updated at the client, and that the events read from a queue is specific to a given client, dependent on what has previously been synchronized or read.

In one embodiment, sync clients 480 connect to both real-time 470 and API front end 490 machines. The real time machines 470 can notify a sync client 480 when there has been an update in a user's account. The sync client 480 can then connect to API front end machine 490 to obtain the actual change/content. Alternatively, in some instances, the sync clients 480 can also obtain the changes/content/updates from the real time machines 470 simultaneous with the notification, or after being notified.

FIG. 5 depicts an example system block diagram showing action log entries 516 recorded from actions/interactions on or with files/content 511 stored in a database 510 of a cloud-based environment.

The front ends 502A-N detect, identify, or receive the various actions or events on data or content performed by users or collaborators in a cloud-based environment. For example, events/actions can include by way of example but not limitation, file renames, file uploads/downloads, file edits, comments, etc. Based on the type of event, the front end 502 determines whether the action/event is to be created into a log entry to be stored in the action log 516. In creating a log entry, each action/event is recorded as a transaction with the file system change for asynchronous processing. In recording the transaction, the relevant file/folder row in the file 511 of the database 510 is inserted, updated, deleted, or otherwise modified according to the action. In one embodiment, the row is inserted in to the action log table 516 simultaneously with the write to the file 511 and also with the performance of action itself. Note that each entry includes an owner ID 514 in the file 511 and in the action log 516 to represent the owner of the item upon which an action occurred.

In one embodiment, action log entries are created in the same database 510 as the file table 511 such that file/content rollback can be performed if the file/data/content change results in an error or failure. As such, the action log entry creation in the action log table 516 can be created, in part, to meet durability (e.g., longevity) requirements of a given event/transaction (e.g., write events, or other edit events typically have higher durability requirements than a comment event, or a share event, etc.).

Action log entries can be created for select types of events or all events. For example, events/transactions such as file renames, file uploads may have higher durability requirements than a comment event, or a share event, in a sense that the changes from a file rename/file upload need to be maintained and updated at various respective clients for the relevant collaborators and the implication for missing a file rename or file upload is potentially more severe than missing a comment event or a share event, etc.

In general, action log entries are generally created for actions/events with higher durability requirements. Such a determination can be made by the front ends 502 as to whether a given event type is to be writing into the action log table 516. Action log entries may also be created for all events with durability requirements carried out downstream at event queues stored in the second database (e.g., the database 460 of FIG. 4B). Table 516 shows the action log entries created from the events stored in the file table 511.

The action log entries can be identified by the action ID 517. In addition, each action log entry can be associated with a user (e.g., owner) identifier 518, a data entry 519, and/or a revision identifier 520. The user identifier 518 can identify a user who is to a recipient as a result of an event (e.g., upload file to User 1). The owner identifier 518 represents the owner of the item upon which an action (e.g., represented by action ID 517) occurred and in general, each work item has no more than one owner. The data field 519 can identify the type of action/event (e.g., rename, upload, edit, comment, share, send, download, etc.).

The revision identifier 520 can indicate the version of any change made to a given file (e.g., edit, rename, upload, etc.). In one embodiment, the revision identifier 520 is derived from version tracking mechanisms (e.g., via revision ID 515) inherent to the database 510. The revision identifier 520 can used by remote clients to resolve conflicts in view of potentially conflicting events/transactions. For example, if a file is re-named twice and both events are synchronized/updated at a remote client, the client can use the rename event associated with the latest revision ID to make the necessary updates. This can ensure that the client is updated with the most current change regardless of when the events are read from the queue. Thus, even if the two rename events are writing to the queue for the client out of order, the client can still make the ‘correct’ update using the revision ID in case of conflicting changes.

FIG. 6A depicts an example system block diagram showing a system for incrementally updating a remote client with events or actions that occurred via a cloud-based platform. As compared to the system described in FIGS. 4A-4B, the system of FIG. 6A incorporates various enhanced components and/or modifications which benefit the system with improved scalability capabilities.

In general, enhanced dispatcher includes a Fan-out dispatcher and a chunk dispatcher. Enhanced action log includes an action log of events that occur in a cloud-based collaboration platform and an action log chunk table. The four enhanced components can function together to divide events sourced from the user action into chunks to ensure that large numbers of events are scaled down to smaller chunks for writing into queues, from which collaborator clients read, within a preset reasonable and ordered timeframe.

Specifically, as previously mentioned, the remote client periodically polls (e.g., via a real time client) the HBase with a queue sequence number (QSN) parameter to see if there is any new event greater than the QSN which had previously passed in. Effectively, the QSN represents the latest event that the remote client has seen/processed. If there are newer events, then a “new_change” message is returned to the client. The message indicates that the client should make a request (e.g., an API call) to get the actual new events (e.g., from an web application server). For purposes of discussion herein, it is sufficient to know that, for each remote client's poll, what are returned are those events that get logged in the action log with timestamps that are older than the time of the poll and within a “scan-back” window set by the database system. The scan-back window is a time period within which the database system guarantees the process can be completed. For example, if the scan-back window is 5 units of time, it means that the database can complete the recording (e.g., of an action log entry) within 5 units of time (e.g., 5 seconds).

However, the existing techniques limit the scalability of the cloud-based platform. Among other causes (e.g., network issues or repository database software issues), when the number of collaborators becomes too large, it may become very difficult and sometimes even impossible to write all the event entries into the repository (e.g., HBase 460) within the designated time period. When an attempt to write the event entries into HBase 460 fails, the system retries to write them again. Sometimes, for example if the cause of failure is temporary network delays, the retries may be successful; however, if the cause of failure is that the number of collaborators (and therefore the number of event entries associated with a single user action) is too large, then the retries would most likely be not successful, either.

One possible but less than optimal solution can be increasing the scan-back window. Nonetheless, this method is not desirable because it adversely affects the overall performance of the entire system (because each user has to scan back more events, thereby creating exponentially more traffic and increasing the likelihood of receiving duplicates of events (e.g., an event with an obsolete revision ID)), reduces the timeliness of updates, and cannot solve the problem of ever-increasing number of collaborators.

Accordingly, embodiments of the present disclosure provide capabilities to divide-and-conquer the workload of event updates using components (discussed in more details with respect to FIGS. 6A-6B) that can separate the event entries into chunks.

As illustrated in FIG. 6A, database 610 functions similarly to database 410; however, database 610 includes two separate tables, namely an action log 616 and an action log chunk 618, instead of the single action log table 416 that database 410 has. Also illustrated in FIG. 6A are a dispatcher 630, which includes a Fan-out dispatcher 630A and a chunk dispatcher 630B. Processors 640A-N also function similarly to processors 440A-N with modifications that are discussed below.

Similar to the system described in FIGS. 4A-4B, once an action is performed by a user, an action entry is created in the action log 616 (e.g., by frontend 402A-N). Then, the Fan-out dispatcher 630A reads the action log entry from the action log 616 and sends the action log entry to the processors 640A-N where the “fan-out” (or collaborators to be notified of the action or to receive the file/data change as a result of the action) is determined. After the fan-out (or the identities of relevant collaborators) is computed, processor 640A-N returns the fan-out to the Fan-out dispatcher 630A. In some embodiments, the fan-out for the action is the collaborators who are subscribed to a folder of the user; in some other embodiments, the fan-out for the action is the collaborators who are subscribed to a file of the user.

Thereafter, the Fan-out dispatcher 630A can separate the fan-out into a plurality of chunks in a way such that each chunk can be stored into a second database (e.g., HBase 460). More specifically, the fan-out effectively represents a number of events that correspond to the user action, and each one of the events is to update a collaborator about the user action. Therefore, by separating the fan-out (e.g., 500 collaborators) into smaller chunks (e.g., 100 collaborators), the dispatcher 630 (and specifically the Fan-out dispatcher 630A) can ensure or at least increase the likelihood of successful writes of the events into HBase 460.

The number of events (which correlates to the number of collaborators) that each chunk includes can be decided based on experience, heuristics, as well as hardware specifications such as the processing speed of host servers (e.g., host server 100), databases (e.g., HBase 460), network bandwidth, and so forth. In some embodiments, the number each chunk includes can be a variable and/or can be adjusted dynamically by the dispatcher 630 based on the workload or the congestion of the network or other suitable factors. The number should be chosen in a way such that each chunk of events can be completely stored (at least with a reasonably acceptable rate of success depending on the type of application) in the HBase 460 within the scan-back window, which is previously described.

It is noted that, in the embodiments described above, the Fan-out dispatcher 630A consults with the processors 640A-N because the processors 640A-N incorporates business logic to determine which collaborators need to be updated with regard to the user action; in some embodiments, the business logic may not necessarily be with the processors 640A-N, and the Fan-out dispatcher 630A can utilize suitable means to receive the fan-out information.

After the separation of events (or grouping/chunking of collaborators), the Fan-out dispatcher 630A writes an action log chunk entry (e.g., as a row) representing each chunk in the action log chunk table 618. More specifically, each row of entry in the action log chunk table 618 represents a sub-group (or a chunk) of the collaborators identified in the fan-out, and each chunk can be separately read (e.g., by the chunk dispatcher 630B) and written (e.g., into the HBase 460) without blocking the other chunk's operations. Each chunk is stored as its own row in the action log chunk table 618 by the Fan-out dispatcher 630A. For example, if the fan-out (e.g., as calculated by the processors 640A-N) is 500, and if the number of events that a chunk can include is decided (e.g., by the dispatcher 630, by a system administrator, or by any other suitable method) to be 100, then the 5 rows, representing 5 chunks of events for updating corresponding collaborators, are written into the action log chunk table 618 by the Fan-out dispatcher 630A. An example of entries in the action log 616 and the action log chunk 618 is illustrated in FIG. 6B. Collaborators' identifier column 618B can be used to identify, for a particular row, which collaborators should receive an update with regard to an action. Therefore, if without any unexpected error, the collaborators identified by all rows in the action log chunk 618 that are with the same action identifier (e.g., Action ID 618A) should be equal to the fan-out for that action.

Optionally, the Fan-out dispatcher 630A can place a mark in the action log table 616 (e.g., under the ALF Status column as shown in FIG. 6B) upon the completion of reading an action log entry, or in some embodiments, upon the completion of writing the chunks associated with the action log entry into the action log chunk table 618.

The chunk dispatcher 630B reads rows from the action log chunk 618, and writes them within the scan-back window (e.g., 5 seconds) into the HBase 460, from which remote clients can read. If any of the chunks fails to write into HBase 460 within the scan-back window, then only the chunk that fails is rewritten (or retried). Notably, the disclosed techniques effectively bring the benefit of dynamically adjusting the scan-back window for only those chunks or sub-lists that are not able to be successfully written in HBase 460 in a previous attempt. Also, it is noted that late arrival of events is not a concern because the system is designed to tolerate out-of-order events (e.g., with the revision identifier mechanism such as described in FIG. 5, where a remote client of a collaborator can identify the latest version of the update by its revision identifier).

In this way, among other advantages, embodiments disclosed herein provide enhancement in scalability, robustness and availability for cloud-based collaboration platforms with large numbers of collaborators by incorporating mechanisms to divide-and-conquer the workload of event updates in such platforms.

In some embodiments, the dispatcher 630 can directly separate the fan-out into chunks (e.g., in memory circuitry of the dispatcher 630) and write the chunks into HBase 460 without first writing chunks as rows into the action log chunk table 618. However, it is noted that this approach may have the risk of losing all chunks of data when an accidental failure takes place at the dispatcher 630, and can create a serious drawback when an large amount of collaborators and/or a large amount of chunks are involved. With the processed chunks first being written by the Fan-out dispatcher 630 to the action log chunk table 618, when an error in the dispatcher 630 occurs, much work of recalculation of fan-out and reprocessing those chunks, which may have been processed before the error occurred, can be saved. In this way, the action log chunk 618 provides additional robustness to the system.

In some additional embodiments, the chunk dispatcher 630B writes a timestamp (e.g., in the timestamp column 618F in FIG. 6B) in the action log chunk table 618 for a corresponding row (or chunk) after the storage of the row into the HBase 460 is completed. The timestamps can be utilized for redundancy or for other suitable purposes, such as those techniques discussed in U.S. patent application Ser. No. 13/526,437, entitled “MANAGING UPDATES AT CLIENTS USED BY A USER TO ACCESS A CLOUD-BASED COLLABORATION SERVICE” (specifically FIGS. 6A-B and their accompanying text). The timestamp column 618F may contain more than one columns depending on, for example, how many data centers are utilized in the distributed repository that implements the HBase 460.

FIG. 7 depicts a flowchart illustrating an example process 700 for a system that incrementally updates remote clients at devices with events that occurred via the platform to implement the disclosed techniques for enhancing scalability. With reference to FIGS. 1 and 6A-6B, the process 700 is explained hereafter.

First, in response to an action from a user in the cloud-enabled platform (e.g., hosted by the host server 100, FIG. 1), an action entry is created in an action log table (e.g., table 616, FIGS. 6A and 6B) by an frontend (e.g., frontend 402A-N, FIG. 6A). Then, a Fan-out dispatcher (e.g., dispatcher 630A, FIG. 6A) reads the action log entry and then determines (710) a list of events to update one or more collaborators of the user about the action. In some embodiments, the Fan-out dispatcher 630A requests (712) processors (e.g., processors 640A-N, FIG. 6A) to calculate the fan-out so as to return a manifest of the collaborators associated with a folder (or a file) where the action from the user takes place.

After the fan-out calculation is completed by the processors 640A-N, and the fan-out is received by the Fan-out dispatcher 630A, the chunk processor 630A separates (720) the list of events into a plurality of sub-lists of events such that each sub-list of events can be stored in a database within a designated amount of time. By separating the fan-out (e.g., 500 collaborators) into smaller chunks (e.g., 100 collaborators), the Fan-out dispatcher 630A ensures (or at least increases the likelihood of) successful writes of the events into the second database (e.g., HBase 460, FIG. 6A), from which the remote clients of collaborators can read.

Then, the Fan-out dispatcher 630A writes each chunk as a row (or an action log chunk entry) into an action log chunk table (e.g., table 618, FIG. 6A). Next, a chunk dispatcher (e.g., dispatcher 630B, FIG. 6B) reads rows from the action log chunk table 618 and writes (730) them within the scan-back window (e.g., 5 seconds) into the HBase 460. In some embodiments, if any of the chunks fails to write into HBase 460 within the scan-back window, then only the chunk that fails is rewritten (or retried).

FIG. 8A depicts a flowchart illustrating further example details of the process 700 of FIG. 7. In some embodiments, before the step 720 (e.g., after the step 710), the number of how many events each sub-list can contain can be decided (815) (e.g., by the Fan-out dispatcher 630A) based on a throughput of the HBase 460. In some embodiments, the decision can be performed (817) when an amount (e.g., two or more) of chunks of events fail to be stored in the HBase 460 within the scan-back window. In some additional or alternative embodiments, the decision can be based on a performance of a network connection (e.g., network 106, FIG. 1) of the HBase 460.

FIG. 8B depicts a flowchart illustrating an alternative process of FIG. 8A, in which the step 815 is performed before the step 710. For example, the number of events each chunk can include can be predetermined based on experience, heuristics, as well as hardware specifications such as the processing speed of host servers (e.g., host server 100), databases (e.g., HBase 460), network bandwidth, and so forth.

In this way, among other advantages, embodiments disclosed herein provide enhancement in scalability, robustness and availability for cloud-based collaboration platforms with large numbers of collaborators by incorporating mechanisms to divide-and-conquer the workload of event updates in such platforms.

FIG. 9 shows a diagrammatic representation 900 of a machine in the example form of a computer system within which a set of instructions, for causing the machine to perform any one or more of the methodologies discussed herein, can be executed.

In alternative embodiments, the machine operates as a standalone device or can be connected (e.g., networked) to other machines. In a networked deployment, the machine can operate in the capacity of a server or a client machine in a client-server network environment, or as a peer machine in a peer-to-peer (or distributed) network environment.

The machine can be a server computer, a client computer, a personal computer (PC), a user device, a tablet, a phablet, a laptop computer, a set-top box (STB), a personal digital assistant (PDA), a thin-client device, a cellular telephone, an iPhone, an iPad, a Blackberry, a processor, a telephone, a web appliance, a network router, switch or bridge, a console, a hand-held console, a (hand-held) gaming device, a music player, any portable, mobile, hand-held device, or any machine capable of executing a set of instructions (sequential or otherwise) that specify actions to be taken by that machine.

While the machine-readable medium or machine-readable storage medium is shown in an exemplary embodiment to be a single medium, the term “machine-readable medium” and “machine-readable storage medium” should be taken to include a single medium or multiple media (e.g., a centralized or distributed database, and/or associated caches and servers) that store the one or more sets of instructions. The term “machine-readable medium” and “machine-readable storage medium” shall also be taken to include any medium that is capable of storing, encoding or carrying a set of instructions for execution by the machine and that cause the machine to perform any one or more of the methodologies of the presently disclosed technique and innovation.

In general, the routines executed to implement the embodiments of the disclosure, can be implemented as part of an operating system or a specific application, component, program, object, module or sequence of instructions referred to as “computer programs.” The computer programs typically comprise one or more instructions set at various times in various memory and storage devices in a computer, and that, when read and executed by one or more processing units or processors in a computer, cause the computer to perform operations to execute elements involving the various aspects of the disclosure.

Moreover, while embodiments have been described in the context of fully functioning computers and computer systems, those skilled in the art will appreciate that the various embodiments are capable of being distributed as a program product in a variety of forms, and that the disclosure applies equally regardless of the particular type of machine or computer-readable media used to actually effect the distribution.

Further examples of machine-readable storage media, machine-readable media, or computer-readable (storage) media include, but are not limited to, recordable type media such as volatile and non-volatile memory devices, floppy and other removable disks, hard disk drives, optical disks (e.g., Compact Disk Read-Only Memory (CD ROMS), Digital Versatile Disks, (DVDs), etc.), among others, and transmission type media such as digital and analog communication links.

The network interface device enables the machine 2800 to mediate data in a network with an entity that is external to the host server, through any known and/or convenient communications protocol supported by the host and the external entity. The network interface device can include one or more of a network adaptor card, a wireless network interface card, a router, an access point, a wireless router, a switch, a multilayer switch, a protocol converter, a gateway, a bridge, bridge router, a hub, a digital media receiver, and/or a repeater.

The network interface device can include a firewall which can, in some embodiments, govern and/or manage permission to access/proxy data in a computer network, and track varying levels of trust between different machines and/or applications. The firewall can be any number of modules having any combination of hardware and/or software components able to enforce a predetermined set of access rights between a particular set of machines and applications, machines and machines, and/or applications and applications, for example, to regulate the flow of traffic and resource sharing between these varying entities. The firewall can additionally manage and/or have access to an access control list which details permissions including for example, the access and operation rights of an object by an individual, a machine, and/or an application, and the circumstances under which the permission rights stand.

Other network security functions can be performed or included in the functions of the firewall, can be, for example, but are not limited to, intrusion-prevention, intrusion detection, next-generation firewall, personal firewall, etc. without deviating from the novel art of this disclosure.

Unless the context clearly requires otherwise, throughout the description and the claims, the words “comprise,” “comprising,” and the like are to be construed in an inclusive sense, as opposed to an exclusive or exhaustive sense; that is to say, in the sense of “including, but not limited to.” As used herein, the terms “connected,” “coupled,” or any variant thereof, means any connection or coupling, either direct or indirect, between two or more elements; the coupling of connection between the elements can be physical, logical, or a combination thereof. Additionally, the words “herein,” “above,” “below,” and words of similar import, when used in this application, shall refer to this application as a whole and not to any particular portions of this application. Where the context permits, words in the above Detailed Description using the singular or plural number can also include the plural or singular number respectively. The word “or,” in reference to a list of two or more items, covers all of the following interpretations of the word: any of the items in the list, all of the items in the list, and any combination of the items in the list.

The above detailed description of embodiments of the disclosure is not intended to be exhaustive or to limit the teachings to the precise form disclosed above. While specific embodiments of, and examples for, the disclosure are described above for illustrative purposes, various equivalent modifications are possible within the scope of the disclosure, as those skilled in the relevant art will recognize. For example, while processes or blocks are presented in a given order, alternative embodiments can perform routines having steps, or employ systems having blocks, in a different order, and some processes or blocks can be deleted, moved, added, subdivided, combined, and/or modified to provide alternative or subcombinations. Each of these processes or blocks can be implemented in a variety of different ways. Also, while processes or blocks are at times shown as being performed in series, these processes or blocks can instead be performed in parallel, or can be performed at different times. Further, any specific numbers noted herein are only examples: alternative implementations can employ differing values or ranges.

The teachings of the disclosure provided herein can be applied to other systems, not necessarily the system described above. The elements and acts of the various embodiments described above can be combined to provide further embodiments.

Any patents and applications and other references noted above, including any that can be listed in accompanying filing papers, are incorporated herein by reference. Aspects of the disclosure can be modified, if necessary, to employ the systems, functions, and concepts of the various references described above to provide yet further embodiments of the disclosure.

These and other changes can be made to the disclosure in light of the above Detailed Description. While the above description describes certain embodiments of the disclosure, and describes the best mode contemplated, no matter how detailed the above appears in text, the teachings can be practiced in many ways. Details of the system can vary considerably in its implementation details, while still being encompassed by the subject matter disclosed herein. As noted above, particular terminology used when describing certain features or aspects of the disclosure should not be taken to imply that the terminology is being redefined herein to be restricted to any specific characteristics, features, or aspects of the disclosure with which that terminology is associated. In general, the terms used in the following claims should not be construed to limit the disclosure to the specific embodiments disclosed in the specification, unless the above Detailed Description section explicitly defines such terms. Accordingly, the actual scope of the disclosure encompasses not only the disclosed embodiments, but also all equivalent ways of practicing or implementing the disclosure under the claims.

While certain aspects of the disclosure are presented below in certain claim forms, the inventors contemplate the various aspects of the disclosure in any number of claim forms. For example, while only one aspect of the disclosure is recited as a means-plus-function claim under 35 U.S.C. §112, ¶6, other aspects can likewise be embodied as a means-plus-function claim, or in other forms, such as being embodied in a computer-readable medium. (Any claim intended to be treated under 35 U.S.C. §112, ¶6 begins with the words “means for”.) Accordingly, the applicant reserves the right to add additional claims after filing the application to pursue such additional claim forms for other aspects of the disclosure.

Claims

1. A method for updating remote clients with actions that occurred in a cloud-enabled platform, the method comprising: in response to an action from a user in the cloud-enabled platform, determining a list of events to update one or more collaborators of the user about the action;separating the list of events into a plurality of sub-lists of events by decomposing the list of events;determining based on evaluation of one or more criteria associated with the database, a number of events to include in each sub-list of events from the plurality of sub-lists of events;writing each sub-list of events into queues that are stored in a database, wherein the writing occurs within a designated time window, wherein the designated time window specifies a time limit for writing each sub-list of events into the queues; andupon detecting failure to write a sub-list of events into one or more queues, updating the designated time window for the sub-list of events that failed to be written, wherein the sub-list of events that failed to be written is included in the plurality of sub-lists of events.

2. The method of claim 1, wherein the one or more criteria includes a throughput of the database.

3. The method of claim 1, further comprising: identifying a number of sub-lists of events that fails to be stored in the database within the designated time window.

4. The method of claim 1, wherein the one or more criteria includes a performance of a network connection of the database.

5. The method of claim 1, wherein determining the list of events to update the one or more collaborators of the user about the action is based on requesting a business logic to return a manifest of the one or more collaborators associated with a folder where the action from the user takes place.

6. The method of claim 1, wherein the plurality of sub-lists are stored as rows in a table before being stored into the database, and wherein each row represents one sub-list and has an collaborator identification field that specifies which of the one or more collaborators are to be updated about the action.

7. The method of claim 6, further comprising: writing a timestamp for a respective row upon completion of storage of a respective sub-list into the database.

8. The method of claim 1, wherein the remote clients of the one or more collaborators are able to update based on the database to reflect the action.

9. The method of claim 8, wherein a respective remote client in the remote clients update only the action without updating other actions which have previously been updated at the respective remote client.

10. The method of claim 8, wherein a respective remote client in the remote clients sends a query to the database for synchronization of the updates specific to an associated collaborator.

11. A system for incrementally updating remote clients with actions that occurred in a cloud-based environment, the system comprising: a processor; anda memory coupled to the processor and storing a plurality of instructions which, when executed by the processor, cause the processor to: in response to an action from a user in the cloud-enabled platform, determine a list of events to update one or more collaborators of the user about the action;separate the list of events into a plurality of sub-lists of events by decomposing the list of events;determine, based on evaluation of one or more criteria associated with the database, a number of events to include in each sub-list of events from the plurality of sub-lists of events;write each sub-list of events into queues that are stored in a database, wherein the write occurs within a designated time window, wherein the designated time window specifies a time limit for writing each sub-list of events into the queues; andupon detecting failure to write a sub-list of events into one or more queues, update the designated time window for the sub-list of events that failed to be written, wherein the sub-list of events that failed to be written is included in the plurality of sub-lists of events.

12. The system of claim 11, wherein the one or more criteria includes a throughput of the database.

13. The system of claim 11, wherein the processor is further caused to: identify a number of sub-lists of events that fails to be stored in the database within the designated time window.

14. The system of claim 11, wherein the one or more criteria includes a performance of a network connection of the database.

15. The system of claim 11, wherein the processor is further caused to, in the determining the list of events to update the one or more collaborators of the user about the action, request a business logic to return a manifest of the one or more collaborators associated with a folder where the action from the user takes place.

16. The system of claim 11, wherein the plurality of sub-lists are stored as rows in a table before being stored into the database, and wherein each row represents one sub-list and has an collaborator identification field that specifies which of the one or more collaborators are to be updated about the action.

17. The system of claim 16, wherein the processor is further caused to: write a timestamp for a respective row upon completion of storage of a respective sub-list into the database.

18. A non-transitory machine-readable storage medium having stored thereon instructions which, when executed by a processor, cause the processor to: in response to an action from a user in a cloud-enabled platform, determine a list of events to update one or more collaborators of the user about the action;separate the list of events into a plurality of sub-lists of events by decomposing the list of events;determine, based on evaluation of one or more criteria associated with the database, a number of events to include in each sub-list of events from the plurality of sub-lists of events;write each sub-list of events into queues that are stored in a database, wherein the write occurs within a designated time window, wherein the designated time window specifies a time limit for writing each sub-list of events into the queues; andupon detecting failure to write a sub-list of events into one or more queues, update the designated time window for the sub-list of events that failed to be written, wherein the sub-list of events that failed to be written is included in the plurality of sub-list of events.

19. The storage medium of claim 18, wherein the one or more criteria includes a throughput of the database.

20. The storage medium of claim 18, wherein the processor is further caused to: identify a number of sub-lists of events that fails to be stored in the database within the designated time window.

21. The storage medium of claim 18, wherein the one or more criteria includes a performance of a network connection of the database.

22. The storage medium of claim 18, wherein the processor is further caused to, in the determining the list of events to update the one or more collaborators of the user about the action, request a business logic to return a manifest of the one or more collaborators associated with a folder where the action from the user takes place.

23. The storage medium of claim 18, wherein the plurality of sub-lists are stored as rows in a table before being stored into the database, and wherein each row represents one sub-list and has an collaborator identification field that specifies which of the one or more collaborators are to be updated about the action.

24. The storage medium of claim 23, wherein the processor is further caused to: write a timestamp for a respective row upon completion of storage of a respective sub-list into the database.

25. A system, comprising a processor, wherein the processor is configured for: in response to an action from a user in a cloud-enabled platform, determining a list of events to update one or more collaborators of the user about the action;separating the list of events into a plurality of sub-lists of events by decomposing the list of events;determining, based on evaluation of one or more criteria associated with the database, a number of events to include in each sub-list of events from the plurality of sub-lists of events;writing each writing each sub-list of events into queues that are stored in a database, wherein the writing occurs within a designated time window, wherein the designated time window specifies a time limit for writing each sub-list of events into the queues; andupon detecting failure to write a sub-list of events into one or more queues, updating the designated time window for the sub-list of events that failed to be written, wherein the sub-list of events that failed to be written is included in the plurality of sub-list of events.