1. Field of the Invention
The field of the invention is data processing, or, more specifically, methods, apparatus, and products for administration of virtual machine affinity in a cloud computing environment.
2. Description of Related Art
The development of the EDVAC computer system of 1948 is often cited as the beginning of the computer era. Since that time, computer systems have evolved into extremely complicated devices. Today's computers are much more sophisticated than early systems such as the EDVAC. Computer systems typically include a combination of hardware and software components, application programs, operating systems, processors, buses, memory, input/output devices, and so on. As advances in semiconductor processing and computer architecture push the performance of the computer higher and higher, more sophisticated computer software has evolved to take advantage of the higher performance of the hardware, resulting in computer systems today that are much more powerful than just a few years ago.
One of the areas of technology that has seen recent advancement is cloud computing. Cloud computing is increasingly recognized as a cost effective means of delivering information technology services through a virtual platform rather than hosting and operating the resources locally. Modern clouds with hundred or thousands of blade servers enable system administrators to build highly customized virtual machines to meet a huge variety of end user requirements. Many virtual machines, however, can reside on a single powerful blade server. Cloud computing has enabled customers to build virtualized servers on hardware that they have no control over. This causes a problem when a multi-tiered application has a requirement that two or more of its virtual machines reside on different physical hardware in order to satisfy high availability requirements or other affinity-related requirements. The end user in the cloud environment creates virtual machines through a self service portal, but has no knowledge of the underlining hardware infrastructure, and no way to assure that virtual machines that need to run on separate hardware can do so.
Methods, apparatus, and computer program products for administration of virtual machine affinity in a cloud computing environment, where the cloud computing environment includes a plurality of virtual machines (‘VMs’), the VMs composed of modules of automated computing machinery installed upon cloud computers disposed within a data center, the cloud computing environment also including a cloud operating system and a data center administration server operably coupled to the VMs, including installing, by the cloud operating system on at least one VM, an indicator that at least two of the VMs have an affinity requirement to be installed upon separate cloud computers; communicating, by at least one of the VMs, the affinity requirement to the data center administration server; and moving by the data center administration server the VMs having the affinity requirement to separate cloud computers in the cloud computing environment.
The foregoing and other objects, features and advantages of the invention will be apparent from the following more particular descriptions of exemplary embodiments of the invention as illustrated in the accompanying drawings wherein like reference numbers generally represent like parts of exemplary embodiments of the invention.
Example methods, apparatus, and products for administration of virtual machine affinity in a cloud computing environment according to embodiments of the present invention are described with reference to the accompanying drawings, beginning with
PaaS is the delivery from a cloud computing environment of a computing platform and solution stack as a service. PaaS includes the provision of a software development platform designed for cloud computing at the top of a cloud stack. PaaS also includes workflow facilities for application design, application development, testing, deployment and hosting as well as application services such as team collaboration, web service integration and marshalling, database integration, security, scalability, storage, persistence, state management, application versioning, application instrumentation and developer community facilitation. These services are provisioned as an integrated solution over a network, typically the World Wide Web (‘web’) from a cloud computing environment. Taken together, SaaS and PaaS are sometimes referred to as ‘cloudware.’
In addition to SaaS and PaaS, cloud computing services can include many other network-based services, such as, for example, utility computing, managed services, and web services. Utility computing is the practice of charging for cloud services like utilities, by units of time, work, or resources provided. A cloud utility provider can, for example, charge cloud clients for providing for a period of time certain quantities of memory, I/O support in units of bytes transferred, or CPU functions in units of CPU clock cycles utilized.
Managed services implement the transfer of all management responsibility as a strategic method for improving data processing operations of a cloud client, person or organization. The person or organization that owns or has direct oversight of the organization or system being managed is referred to as the offerer, client, or customer. The person or organization that accepts and provides the managed service from a cloud computing environment is regarded as a managed service provider or ‘MSP.’ Web services are software systems designed to support interoperable machine-to-machine interaction over a network of a cloud computing environment.
Web services provide interfaces described in a machine-processable format, typically the Web Services Description Language (‘WSDL’). Cloud clients interact with web services of a cloud computing environment as prescribed by WSDL descriptions using Simple Object Access Protocol (‘SOAP’) messages, typically conveyed using the HyperText Transport Protocol (‘HTTP’) with an eXtensible Markup Language (‘XML’) serialization.
The data center (128) is a facility used for housing a large amount of electronic equipment, particularly computers and communications equipment. The data center is maintained by an organization for the purpose of handling the data necessary for its operations. A bank, for example, may have a data center, where all its customers' account information is maintained and transactions involving these accounts are carried out. Practically every company that is mid-sized or larger has some kind of data center with the larger companies often having dozens of data centers. A data center will typically include many computers, although for ease of explanation, the data center (128) in the example of
A ‘computer’ or ‘cloud computer,’ as the terms are used in this specification, refers generally to a multi-user computer that provides a service (e.g. database access, file transfer, remote access) or resources (e.g. file space) over a network connection. The terms ‘computer’ or ‘cloud computer’ as context requires, refer inclusively to the each computer's hardware as well as any application software, operating system software, or virtual machine installed or operating on the computer. A computer application in this context, that is, in a data center or a cloud computing environment, is often an application program that accepts connections through a computer network in order to service requests from users by sending back responses. The form factor of data center computers is often a blade; such computers are often referred to as ‘blade servers.’ Examples of application programs, often referred to simply as ‘applications,’ include file servers, database servers, backup servers, print servers, mail servers, web servers, FTP servers, application servers, VPN servers, DHCP servers, DNS servers, WINS servers, logon servers, security servers, domain controllers, backup domain controllers, proxy servers, firewalls, and so on.
The data center administration server (118) is a computer that is operably coupled to the VMs in the cloud computing environment through data communications network (100). The data center administration server (118) provides the data center-level functions of communicating with hypervisors on cloud computers to install VMs, terminate VMs, and move VMs from one cloud computer to another within the data center. In addition, the data center administration server (118) in some embodiments supports an additional module called a VM Manager that implements direct communications with VMs through modules called VM agents installed in the VMs themselves.
The example apparatus of
In the example cloud operating system of
Having received user specifications for a VM, the cloud operating system (194) then deploys the now-specified VM in accordance with the received user specifications. The self service portal (172) passes the user specification (174), except for affinity requirements, to the deployment engine. The self service portal retains any affinity requirements—thus maintaining the initial installation procedure exactly the same regardless of affinity requirements. The VM catalog (180) contains VM templates, standard-form descriptions used by hypervisors to define and install VMs. The deployment engine selects a VM template (178) that matches the user specifications. If the user specified an Intel processor, the deployment engine selects a VM template for a VM that executes applications on an Intel processor. If the user specified PCIe I/O functionality, the deployment engine selects a VM template for a VM that provides PCIe bus access. And so on. The deployment engine fills in the selected template with the user specifications and passes the complete template (182) to the data center administration server (118), which calls a hypervisor on a cloud computer to install the VM specified by the selected, completed VM template. The data center administration server (118) records a network address assigned to the new VM as well as a unique identifier for the new VM, here represented by a UUID, and returns the network address and the UUID (184) to the deployment engine. The deployment engine (176) returns the network address and the UUID (184) to the self service portal (172). The new VM is now installed as a cloud VM on a cloud computer, but neither the data center administration server (118) nor any installed VM as yet has any indication regarding any affinity requirement.
At least two VMs (102, 104) in this example, however, do have an affinity requirement, and, although VMs (102, 104) are initially installed on the same computer (110), the VMs (102, 104) have an affinity requirement to be installed on separate computers. Such an affinity requirement is specified by the user (101) through interface (170) and retained by the self service portal as part of the specification of a VM being installed in the cloud computer environment (192). An affinity requirement for VMs is an effect of a characteristic of the application programs that run in the VMs, a characteristic based on a relationship or causal connection between the application programs. Examples of such characteristics effecting affinity requirements include these relationships among application programs:
When, as here, there is an affinity requirement, the cloud operating system installs on at least one VM an indicator (188) that at least two of the VMs (102, 104) have an affinity requirement to be installed upon separate cloud computers. The self service portal (172) having received the return of the network addresses and the UUIDs for the installed VMs, knowing that VMs (102, 104) have an affinity requirement because that information was provided by the user (101) through the interface (170), triggers a post deployment workflow (186) that installs the indicator. The indicator can take the form of a list of network addresses for the VMs having the affinity requirement, so that the VMs having the affinity requirement can exchange UUIDs and communicate them to the data center administration server (118). Or the indicator can be the UUIDs themselves. The indicator can be installed on just one of the VMs or on all the VMs having the affinity requirement. One, more than one, or all of the VMs having the indicator installed then communicates the affinity requirement (190) to the data center administration server (118), and the data center administration server moves (326, 328) the VMs (102, 104) having the affinity requirement to separate cloud computers (114, 116) in the cloud computing environment (192).
The arrangement of the server (118), the cloud computers (109, 110, 114, 116), and the network (100) making up the example apparatus illustrated in
For further explanation,
Stored in RAM (168) in the example cloud computer (110) of
In the example of
Among other things, the VMs (102, 104) enable multiple operating systems, even different kinds of operating systems, to co-exist on the same underlying computer hardware, in strong isolation from one another. The association of a particular application program with a particular VM eases the tasks of application provisioning, maintenance, high availability, and disaster recovery in a data center. Because the operating systems (154, 155) are not required to be the same, it is possible to run Microsoft Windows™ in one VM and Linux™ in another VM on the same computer. Such an architecture can also run an older version of an operating system in one VM in order to support software that has not yet been ported to the latest version, while running the latest version of the same operating system in another VM on the same computer. Operating systems that are useful or that can be improved to be useful in administration of virtual machine affinity in a cloud computing environment according to embodiments of the present invention include UNIX™, Linux™, Microsoft XP™, AIX™, and IBM's i5/OS™.
In the example of
The example apparatus of
In the example cloud operating system (194) of
Having received user specifications for a VM, the cloud operating system (194) then deploys the now-specified VM in accordance with the received user specifications. The self service portal (172) passes the user specification, except for affinity requirements, to the deployment engine (176). The self service portal retains any affinity requirements—thus maintaining the initial installation procedure exactly the same regardless of affinity requirements. The deployment engine selects from the VM catalog (180) a VM template that matches the user specifications. The deployment engine fills in the selected template with the user specifications and passes the complete template to the data center administration server (118), which calls a hypervisor on a cloud computer to install the VM specified by the selected, completed VM template. The data center administration server (118) records a network address (123) assigned to the new VM as well as a unique identifier for the new VM, here represented by a UUID (120), and returns the network address and the UUID to the deployment engine (176). The deployment engine (176) returns the network address and the UUID to the self service portal (172). The new VM is now installed as a cloud VM on a cloud computer, but neither the data center administration server nor any installed VM as yet has any indication regarding any affinity requirement.
At least two VMs (102, 104) in this example, however, do have an affinity requirement, and, although VMs (102, 104) are initially installed on the same cloud computer (110), the VMs (102, 104) have an affinity requirement to be installed on separate computers. Such an affinity requirement is specified by a user (101 on
When, as here, an affinity requirement does exist, the cloud operating system (194) installs on at least one VM an indicator that at least two of the VMs (102, 104) have an affinity requirement to be installed upon separate cloud computers. The self service portal (172) having received the return of the network addresses and the UUIDs for the installed VMs, and knowing that VMs (102, 104) have an affinity requirement because that information was provided by a user through the interface (170 on
It is said that ‘at least one,’ one, more than one, or all, of the VMs communicates the affinity requirement to the data center administration server because there is more than one way that this communication can be carried out. Each of the VMs having an affinity requirement can, for example, be configured with the indicator of the affinity requirement, so that all of them can communicate the affinity requirement to the data center administration server, redundant, reliable, but more burdensome in terms of data processing requirements. In embodiments where all the VMs with an affinity requirement communicate the affinity requirement to the data center administration server, the server (118) is required to disregard duplicate notifications, but the overall protocol is relatively simple: all the VMs just do the same thing. Alternatively, only one of the VMs having an affinity requirement can be configured with the indicator, including, for example, the identities of the VMs having the affinity requirement, so that only that one VM communicates the affinity requirement to the data center administration server.
In particular in this example, the data center administration server (118) moves (328) VM (102) from cloud computer (110) to a separate cloud computer (114), leaving VM (104) on cloud computer (110), thereby effectively moving the VMs having an affinity requirement to separate computers in the cloud computing environment (912). In apparatus like that of
The applications (132, 134), the operating systems (154, 155), the VM agents (122), and the Affinity Managers (130) in the example of
The arrangement of the server (118), the computers (109, 110, 114), and the network (100) making up the example apparatus illustrated in
For further explanation,
In the method of
The method of
The method of
The method of
In the method of
The method of
For further explanation,
In the method of
The method of
Also in the example of
In the example of
For further explanation,
In the method of
The method of
The method of
Example embodiments of the present invention are described largely in the context of a fully functional computer system for administration of virtual machine affinity in a cloud computing environment. Readers of skill in the art will recognize, however, that the present invention also may be embodied in a computer program product disposed upon computer readable storage media for use with any suitable data processing system. Such computer readable storage media may be any storage medium for machine-readable information, including magnetic media, optical media, or other suitable media. Examples of such media include magnetic disks in hard drives or diskettes, compact disks for optical drives, magnetic tape, and others as will occur to those of skill in the art. Persons skilled in the art will immediately recognize that any computer system having suitable programming means will be capable of executing the steps of the method of the invention as embodied in a computer program product. Persons skilled in the art will recognize also that, although some of the exemplary embodiments described in this specification are oriented to software installed and executing on computer hardware, nevertheless, alternative embodiments implemented as firmware or as hardware are well within the scope of the present invention.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, that is as apparatus, or as a method or a computer program product. Accordingly, aspects of the present invention may take the form of an entirely hardware embodiment, embodiments that are at least partly software (including firmware, resident software, micro-code, etc.), with embodiments combining software and hardware aspects that may generally be referred to herein as a “circuit,” “module,” “apparatus,” or “system.” Furthermore, aspects of the present invention may take the form of a computer program product embodied in one or more computer readable media having computer readable program code embodied thereon.
Any combination of one or more computer readable media may be utilized. A computer readable medium may be a computer readable signal medium or a computer readable storage medium. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the context of this document, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
A computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may be any computer readable medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Computer program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, Smalltalk, C++ or the like and conventional procedural programming languages, such as the “C” programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the latter scenario, the remote computer may be connected to the user's computer through any type of network, including a local area network (LAN) or a wide area network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet Service Provider).
Aspects of the present invention are described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the invention. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer readable medium that can direct a computer, other programmable data processing apparatus, or other devices to function in a particular manner, such that the instructions stored in the computer readable medium produce an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks. The computer program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide processes for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowcharts and block diagrams in the Figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present invention. In this regard, each block in a flowchart or block diagram may represent a module, segment, or portion of code or other automated computing machinery, which comprises one or more executable instructions or logic blocks for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems that perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
It will be understood from the foregoing description that modifications and changes may be made in various embodiments of the present invention without departing from its true spirit. The descriptions in this specification are for purposes of illustration only and are not to be construed in a limiting sense. The scope of the present invention is limited only by the language of the following claims.
Number | Name | Date | Kind |
---|---|---|---|
5101346 | Ohtsuki | Mar 1992 | A |
7093086 | Rietschote et al. | Aug 2006 | B1 |
7370164 | Nagarkar et al. | May 2008 | B1 |
7502962 | Yach et al. | Mar 2009 | B2 |
7802248 | Broquere et al. | Sep 2010 | B2 |
7831600 | Kilian | Nov 2010 | B2 |
7890613 | Tameshige et al. | Feb 2011 | B2 |
7917617 | Ponnapur et al. | Mar 2011 | B1 |
8046473 | Piper et al. | Oct 2011 | B2 |
8060476 | Afonso et al. | Nov 2011 | B1 |
20040221290 | Casey et al. | Nov 2004 | A1 |
20050081201 | Aguilar et al. | Apr 2005 | A1 |
20050198303 | Knauerhase et al. | Sep 2005 | A1 |
20050262504 | Esfahany et al. | Nov 2005 | A1 |
20060085792 | Traut | Apr 2006 | A1 |
20060184936 | Abels et al. | Aug 2006 | A1 |
20070079308 | Chiaramonte et al. | Apr 2007 | A1 |
20070130566 | van Rietschote et al. | Jun 2007 | A1 |
20070208918 | Harbin et al. | Sep 2007 | A1 |
20070244938 | Michael et al. | Oct 2007 | A1 |
20080263544 | Amano et al. | Oct 2008 | A1 |
20080295094 | Korupolu et al. | Nov 2008 | A1 |
20090037585 | Miloushev et al. | Feb 2009 | A1 |
20090070771 | Yuyitung et al. | Mar 2009 | A1 |
20090113109 | Nelson et al. | Apr 2009 | A1 |
20090138541 | Wing et al. | May 2009 | A1 |
20090204826 | Cox et al. | Aug 2009 | A1 |
20090249284 | Antosz et al. | Oct 2009 | A1 |
20090249334 | Yamaguchi et al. | Oct 2009 | A1 |
20090271472 | Scheifler et al. | Oct 2009 | A1 |
20090288084 | Astete et al. | Nov 2009 | A1 |
20090293056 | Ferris | Nov 2009 | A1 |
20090300076 | Friedman et al. | Dec 2009 | A1 |
20090300151 | Friedman et al. | Dec 2009 | A1 |
20090300210 | Ferris | Dec 2009 | A1 |
20100037038 | Bieswanger et al. | Feb 2010 | A1 |
20100042720 | Stienhans et al. | Feb 2010 | A1 |
20100106885 | Gao et al. | Apr 2010 | A1 |
20100107158 | Chen et al. | Apr 2010 | A1 |
20100115332 | Zheng et al. | May 2010 | A1 |
20100131324 | Ferris | May 2010 | A1 |
20100205304 | Chaturvedi et al. | Aug 2010 | A1 |
20100211829 | Ziskind et al. | Aug 2010 | A1 |
20100241896 | Brown et al. | Sep 2010 | A1 |
20100293409 | Machida | Nov 2010 | A1 |
20100306379 | Ferris | Dec 2010 | A1 |
20100306382 | Cardosa et al. | Dec 2010 | A1 |
20110010515 | Ranade | Jan 2011 | A1 |
20110022695 | Dalal et al. | Jan 2011 | A1 |
20110022812 | Van der Linden et al. | Jan 2011 | A1 |
20110060832 | Govil et al. | Mar 2011 | A1 |
20110072208 | Gulati et al. | Mar 2011 | A1 |
20110126275 | Anderson et al. | May 2011 | A1 |
20110179176 | Ravichandran et al. | Jul 2011 | A1 |
20110208908 | Chou et al. | Aug 2011 | A1 |
20110231696 | Ji et al. | Sep 2011 | A1 |
20110231698 | Zlati et al. | Sep 2011 | A1 |
20110238803 | Kern | Sep 2011 | A1 |
20110246627 | Kern | Oct 2011 | A1 |
20110252420 | Tung et al. | Oct 2011 | A1 |
20110258481 | Kern | Oct 2011 | A1 |
20110258621 | Kern | Oct 2011 | A1 |
20120216196 | Kern | Aug 2012 | A1 |
Number | Date | Country |
---|---|---|
2043320 | Apr 2009 | EP |
Entry |
---|
“Method and system for dynamic detection of affinity between virtual entities”. |
Lagar-Cavilla et al., “SnowFlock: rapid virtual machine cloning for cloud computing”, 2009, in Proceedings of the 4th ACM European conference on Computer systems (EUroSys '09). ACM, New York, NY, USA, 1-12. |
Office Action, U.S. Appl. No. 12/759,976, Aug. 28, 2012. |
Office Action, U.S. Appl. No. 12/760,141, Jul. 10, 2012. |
Final Office Action, U.S. Appl. No. 12/785,322, Aug. 29, 2012. |
Office Action, U.S. Appl. No. 12/730,402, Dec. 1, 2011. |
Notice of Allowance, U.S. Appl. No. 12/730,402, Apr. 16, 2012. |
Office Action, U.S. Appl. No. 12/752,762, May 31, 2012. |
Office Action, U.S. Appl. No. 12/752,322, May 16, 2012. |
Final Office Action, U.S. Appl. No. 12/752,762, Oct. 29, 2012. |
Office Action, U.S. Appl. No. 12/760,141, Dec. 10, 2012. |
Office Action, U.S. Appl. No. 12/759,976, Mar. 20, 2013. |
Chieu et al., “Dynamic Scaling of Web Applications in a Virtualized Cloud Computing Environment”, IEEE International Conference on e-Business Engineering, (ICEBE '09) Oct. 2009, pp. 281-286, IEEE Xplore Digital Library (online), USA, DOI: 10.1109/ICEBE.2009.45. |
Amazon, “Amazon Auto Scaling”, Developer Guide, API Version, May 2009, 115 pages, Amazon Web Services (online), URL: http://awsdocs.s3.amazonaws.com/AutoScaling/latest/as-dg.pdf. |
Amazon, “Auto Scaling”, amazon.com (online), accessed Feb. 7, 2010, pp. 1-6, URL: http://aws.amazon.com/autoscaling/. |
Costanzo et al., “Harnessing Cloud Technologies for a Virtualized Distributed Computing Infrastructure”, IEEE Internet Computing, vol. 13, Issue 5, Sep. 2009, pp. 24-33, IEEE Xplore Digital Library (online), USA, DOI: 10.1109/MIC.2009.108. |
IBM, “Method and System for Workload Routing in a Cloud”, Technical Disclosure, IP.com prior art database (online), Nov. 2009, pp. 1-5, IP.com No. IPCOM000190107D, USA. |
Jamal et al., “Virtual Machine Scalability on Multi-Core Processors Based Servers for Cloud Computing Workloads”, IEEE International Conference on Networking, Architecture, and Storage (NAS 2009), Jul. 2009, pp. 90-97, IEEE Xplore Digital Library (online), USA, DOI: 10.1109/NAS.2009.20. |
Kupferman et al., “Scaling Into the Cloud”, Department of Computer Science, May 2011, pp. 1-8, University of California, Santa Barbara, (online), URL: http://cs.ucsb.edu/˜jkupferman/docs/ScalingIntoTheClouds.pdf. |
IBM, “System and apparatus for automatic health monitoring and maintenance of virtual machines”, Technical Disclosure, IP.com prior art database (online), Dec. 2009, pp. 1-3, IP.com No. IPCOM000191156D, USA. |
Kangarlou et al., “VNsnap: Taking Snapshots of Virtual Networked Environments With Minimal Downtime”, IEEE/IFIP International Conference on Dependable Systems & Networks (DSN '09), Jun. 2009, IEEE Xplore Digital Library (online), USA, DOI: 10.1109/DSN.2009.5270298. |
Number | Date | Country | |
---|---|---|---|
20110246992 A1 | Oct 2011 | US |