Patent Application
20050125537
The present invention relates to the field of grid computing, and, more particularly to a method, apparatus and system for enforcing secure resource sharing in grid computing networks.
Grid computing supports transparent sharing, selection, and aggregation of distributed resources, offering consistent and inexpensive access of the resources to grid users. By providing access to the aggregate computing power and virtualized resources of participating networked computers, grid computing enables the utilization of temporarily unused computational resources in various types of networks (e.g., massive corporate networks containing numerous idle resources). In a grid computing environment, the combined power of these previously untapped computational resources may be harvested by corporate applications, by other users in the same corporation, or even sold to external customers for profit. Thus, corporate information technology departments may have a strong motivation to purchase computing devices with significant resources (e.g., memory, hard disk space, etc.) even for users that do not have an explicit use for powerful machines. If grid computing is enabled in these environments, the surplus computing power may be available to those in need with significant cost savings and/or optimization of the corporation's resources.
A major barrier to fulfilling the grid computing vision is that current implementations of grid software entail a major security threat. The problem arises due to the fact that external grid applications and data must share the computing device's resources with the primary user's workloads and data. Attacks through the grid may result in catastrophic denial of service, leakage of confidential information, and/or simple inconvenience to the owner of the computing device. The converse is also true, i.e., grid users and applications must trust the owners of the computing device not to tamper with their data, computations, and confidential information.
The present invention is illustrated by way of example and not limitation in the figures of the accompanying drawings in which like references indicate similar elements, and in which:
Embodiments of the present invention provide a method, apparatus and system for enforcing resource sharing in grid computing networks. Reference in the specification to “one embodiment” or “an embodiment” of the present invention means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases “in one embodiment,” “according to one embodiment” or the like appearing in various places throughout the specification are not necessarily all referring to the same embodiment.
According to an embodiment of the present invention, virtual machines may be utilized within a grid computing network to enhance security and enable the grid computing environment to function in isolation from other processes. More specifically, according to an embodiment, a computing device (hereafter a “host”) may include various virtual machines, each isolated from the other and capable of functioning independently. Virtual machines typically include multiple virtual operating environments within a single computing device, each seemingly in complete control of the resources of the device. Applications running within the respective virtual machines typically have no knowledge of the other virtual machines running on the host. A virtual machine manager or virtual machine monitor (hereafter “VMM”) may monitor and/or allocate the host's resources to each virtual machine on the host. VMMs are designed to ensure virtual machines (hereafter “VMs”) operate in complete isolation, as if they were separate physical devices. Even catastrophic crashes (e.g., an operating system reboot) in one VM does not affect the operation of the other VMs. Virtual machines and VMMs are well known to those of ordinary skill in the art and further detailed description of such is therefore omitted herein in order not to unnecessarily obscure embodiments of the present invention.
In one embodiment of the present invention, each host may be configured such that one or more of the virtual machines on the host are designated to run grid applications on the grid network. A resource module may supplement the functionality of typical VMMs, to establish and enforce predefined resource sharing policies according to an embodiment of the present invention. Although the description and figures herein describe the VMM and resource module as separate modules, the functionality of these two modules may be combined without departing from the spirit of embodiments of the present invention. Additionally, in various embodiments, the resource module may be implemented as software, hardware, firmware or any combination thereof.
Embodiments of the present invention may be implemented in various grid network environments. For example, in a corporate network, a research and development organization may desire to execute a large simulation requiring significant resources. As is typical in a grid network, this large simulation may be executed utilizing the resources from various hosts on the network. According to an embodiment of the present invention, however, this large simulation may be executed by multiple virtual machines residing on various hosts on the grid network. Thus, for example, various hosts may be configured to each dedicate one or more virtual machine(s) within their environment to execute this simulation while the remaining virtual machine(s) on the hosts may be available to the owner/user for his or her typical use. The VMM and resource module on each host may manage the resource allocation to enable the grid application to run without affecting the user's ability to securely use the host for other purposes.
For the purposes of simplicity, only five hosts are depicted but embodiments of the present invention are not so limited. Additional hosts may be added to Grid Network 100 without departing from the spirit of embodiments of the present invention. As illustrated, these hosts are computing devices that support virtual machines. In one embodiment, these computing devices may include hardware support, e.g., computing devices with processors that support virtual machines, while in an alternate embodiment, these computing devices may include software support for virtual machines. It will be readily apparent to those of ordinary skill in the art that various computing devices may include both hardware and software support for virtual machines.
Grid VM 200 and User VM 205 may each comprise a complete software stack. Thus, for example, Grid VM 200 may include drivers representing virtual hardware (“VHW 220”), an operating system (“OS 225”) and various applications (e.g., App 230 and App 235). Similarly, User VM 205 may comprise drivers representing virtual hardware (“VHW 240”), an operating system (“OS 245”) and various applications (e.g., App 250 and App 255). Grid VM 200 and User VM 205 represent separate trusted execution environments that ensure that Host 105 is protected from rogue grid applications as well as prevent local users from tampering with or snooping on the grid applications and data.
According to one embodiment, the Resource Module on Host 105 (“Resource Module 275”) may supplement the functionality of VMM 210. More specifically, VMM 210 may perform its typical management and resource allocation functions while Resource Module 275 may include supplemental resource sharing policies to enable Grid VM 200 to process grid applications without disrupting the user's access to Host 105. VMMs do not typically dynamically alter their resource allocation, i.e., regardless of the fact that one VM may be using minimal processing power, it may nonetheless be allocated an equal amount of processing time and resources as other, more active VMs. In one embodiment, Resource Module 275 may affect the resource allocation on Host 105 dynamically, as the resources on Host 105 change. In other words, Resource Module 275 may start performing its supplemental resource management functions when Grid VM 200 is started up and begins to process a grid application, and as the demands on the resources on Host 105 change, Resource Module 275 may be configured to monitor and dynamically change the resource allocation to Grid VM 200.
In one embodiment of the present invention, the resource sharing policies in Resource Module 275 may be defined by the Grid Network 100's system administrator based on a variety of factors. For example, the system administrator may configure Resource Module 275 to restrict the resources available to Grid VM 200. Thus, although VMM 210 typically allocates resources to Grid VM 200 and User VM 205 in a “round robin” fashion (e.g., for a predetermined amount of time to each virtual machine on the host) without regard for what each virtual machine is doing, Resource Module 275 may additionally include predefined policies that restrict the resources allocated to Grid VM 200 to ensure minimal disruption to the user. Examples of such predefined policy restrictions include restricting Grid VM 200 to a predetermined amount of processor use (by time and/or cycles), restricting Grid VM 200 to certain disk volumes and/or to certain files and/or blocks on Host 105, allowing Grid VM 200 access to Host 105's entire hard disk but require the total amount of storage used to be below a predetermined limit, restricting the bandwidth that Grid VM 200 may utilize, restricting the hosts on Grid Network 100 that Grid VM 200 may contact, restricting allocation of Host 105's memory to Grid VM 200 and/or prevent Grid VM 200 from using Host 105's display, and/or providing Grid VM 200 with a restricted virtual display through which the local user could monitor the status of Grid VM 200.
In yet another embodiment, Resource Module 275 may also perform dynamic load balancing across multiple hosts on Grid Network 100 by shifting grid computing workloads from one host to another, depending on each host's resource availability. Thus, for example, if a local user utilization of a given host (e.g., User VM 205 on Host 105) grows so much that it precludes timely execution of the grid workload (e.g., on Grid VM 200), Resource Module 275 may detect the condition and seek an alternative host on Grid Network 100 with available resources to execute the grid workload. Once resources are secured, the local execution of the workload may be suspended and the workload may be transferred to the new host where execution may be resumed.
It will be readily apparent to those of ordinary skill in the art that Resource Module 275 may be configured to supplement VM 210 according to a variety of other policies and factors without departing from the spirit of embodiments of the present invention.
The hosts according to embodiments of the present invention may be implemented on a variety of computing devices. According to an embodiment of the present invention, computing devices may include various components capable of executing instructions to accomplish an embodiment of the present invention. For example, the computing devices may include and/or be coupled to at least one machine-accessible medium. As used in this specification, a “machine” includes, but is not limited to, any computing device with one or more processors. As used in this specification, a machine-accessible medium includes any mechanism that stores and/or transmits information in any form accessible by a computing device, the machine-accessible medium including but not limited to, recordable/non-recordable media (such as read only memory (ROM), random access memory (RAM), magnetic disk storage media, optical storage media and flash memory devices), as well as electrical, optical, acoustical or other form of propagated signals (such as carrier waves, infrared signals and digital signals).
According to an embodiment, a computing device may include various other well-known components such as one or more processors. The processor(s) and machine-accessible media may be communicatively coupled using a bridge/memory controller, and the processor may be capable of executing instructions stored in the machine-accessible media. The bridge/memory controller may be coupled to a graphics controller, and the graphics controller may control the output of display data on a display device. The bridge/memory controller may be coupled to one or more buses. A host bus controller such as a Universal Serial Bus (“USB”) host controller may be coupled to the bus(es) and a plurality of devices may be coupled to the USB. For example, user input devices such as a keyboard and mouse may be included in the computing device for providing input data.
In the foregoing specification, the invention has been described with reference to specific exemplary embodiments thereof. It will, however, be appreciated that various modifications and changes may be made thereto without departing from the broader spirit and scope of the invention as set forth in the appended claims. The specification and drawings are, accordingly, to be regarded in an illustrative rather than a restrictive sense.
