Abstract:
Virtual machine (VM) proliferation may be reduced through the use of Virtual Server Agents (VSAs) assigned to a group of VM hosts that may determine the availability of a VM to perform a task. Tasks may be assigned to existing VMs instead of creating a new VM to perform the task. Furthermore, a VSA coordinator may determine a grouping of VMs or VM hosts based on one or more factors associated with the VMs or the VM hosts, such as VM type or geographical location of the VM hosts. The VSA coordinator may also assign one or more VSAs to facilitate managing the group of VM hosts. In some embodiments, the VSA coordinators may facilitate load balancing of VSAs during operation, such as during a backup operation, a restore operation, or any other operation between a primary storage system and a secondary storage system.
Abstract:
A resource allocation system begins with an ordered plan for matching requests to resources that is sorted by priority. The resource allocation system optimizes the plan by determining those requests in the plan that will fail if performed. The resource allocation system removes or defers the determined requests. In addition, when a request that is performed fails, the resource allocation system may remove requests that require similar resources from the plan. Moreover, when resources are released by a request, the resource allocation system may place the resources in a temporary holding area until the resource allocation returns to the top of the ordered plan so that lower priority requests that are lower in the plan do not take resources that are needed by waiting higher priority requests higher in the plan.
Abstract:
A resource allocation system begins with an ordered plan for matching requests to resources that is sorted by priority. The resource allocation system optimizes the plan by determining those requests in the plan that will fail if performed. The resource allocation system removes or defers the determined requests. In addition, when a request that is performed fails, the resource allocation system may remove requests that require similar resources from the plan. Moreover, when resources are released by a request, the resource allocation system may place the resources in a temporary holding area until the resource allocation returns to the top of the ordered plan so that lower priority requests that are lower in the plan do not take resources that are needed by waiting higher priority requests higher in the plan.
Abstract:
Software, firmware, and systems are described herein that permit an organization to dock previously-utilized, limited-feature data management modules with a full-featured data management system. By docking limited-feature data management modules to a full-featured data management system, metadata and data from the various limited-feature data management modules can be integrated and utilized more efficiently and effectively. Moreover, additional data management features can be provided to users after a more seamless transition.
Abstract:
An information management system according to certain aspects may determine whether snapshot operations will work prior to executing them. The system may check various factors or parameters relating to a snapshot storage policy to verify whether the storage policy will work at runtime without actually executing the policy. Some examples of factors can include: availability of primary storage devices for which a snapshot should be obtained, availability of secondary storage devices, license availability for snapshot software, user credentials for connecting to primary and/or second storage devices, available storage capacity, connectivity to storage devices, etc. The system may also check whether a particular system configuration is supported in connection with snapshot operations. The result of the determination can be provided in the form of a report summarizing any problems found with the snapshot storage policy. The report can include recommended courses of action or solutions for resolving any identified issues.
Abstract:
An illustrative pseudo-file-system driver uses deduplication functionality and resources in a storage management system to provide an application and/or a virtual machine with access to a locally-stored file system. From the perspective of the application/virtual machine, the file system appears to be of virtually unlimited capacity. The pseudo-file-system driver instantiates the file system in primary storage, e.g., configured on a local disk. The application/virtual machine requires no configured settings or limits for the file system's storage capacity, and may thus treat the file system as “infinite.” The pseudo-file-system driver intercepts write requests and may use the deduplication infrastructure in the storage management system to offload excess data from local primary storage to deduplicated secondary storage, based on a deduplication database. The pseudo-file-system driver also intercepts read requests and in response may restore data from deduplicated secondary storage to primary storage, also based on the deduplication database.
Abstract:
Systems and methods integrate disparate backup devices with a unified interface. In certain examples, a management console manages data from various backup devices, while retaining such data in its native format. The management console can display a hierarchical view of the client devices and/or their data and can further provide utilities for processing the various data formats. A data structure including fields for storing both metadata common to the client device data and value-added metadata can be used to mine or process the data of the disparate client devices. The unified single platform and interface reduces the need for multiple data management products and/or customized data utilities for each individual client device and provides a single pane of glass view into data management operations. Integrating the various types of storage formats and media allows a user to retain existing storage infrastructures and further facilitates scaling to meet long-term management needs.
Abstract:
A method and system for reducing storage requirements and speeding up storage operations by reducing the storage of redundant data includes receiving a request that identifies one or more data objects to which to apply a storage operation. For each data object, the storage system determines if the data object contains data that matches another data object to which the storage operation was previously applied. If the data objects do not match, then the storage system performs the storage operation in a usual manner. However, if the data objects do match, then the storage system may avoid performing the storage operation.
Abstract:
A computerized method for sharing removable storage media in a network, the method comprising associating, in an index entry, a first piece of removable storage media in a first storage device with at least a first storage policy copy and a second storage policy copy; copying, to the first piece of removable storage media, data associated with the first storage policy copy; and copying, to the first piece of removable storage media, data associated with the second storage policy copy.
Abstract:
A resource allocation system begins with an ordered plan for matching requests to resources that is sorted by priority. The resource allocation system optimizes the plan by determining those requests in the plan that will fail if performed. The resource allocation system removes or defers the determined requests. In addition, when a request that is performed fails, the resource allocation system may remove requests that require similar resources from the plan. Moreover, when resources are released by a request, the resource allocation system may place the resources in a temporary holding area until the resource allocation returns to the top of the ordered plan so that lower priority requests that are lower in the plan do not take resources that are needed by waiting higher priority requests higher in the plan.