Abstract:
Exemplary methods, apparatuses, and systems include a first host system configuring storage of the first host to serve as a primary cache for a virtual machine running on the first host. A second host system configures storage of the second host to serve as a secondary cache and boots a placeholder virtual machine. The first host transmits, in response to write operations from the virtual machine directed to the primary cache, copies of the write operations to the second host to create mirrored copies on the secondary cache. The first host acknowledges each write operation from the virtual machine when the write operation is committed to both the primary cache and the secondary cache. When the virtual machine is restarted on the second host in response to a failure or migration event, the secondary cache is promoted to serve as a new primary cache for the virtual machine.
Abstract:
A system and method include determining, by a processing device, a first quantity associated with usage of a hardware resource on which a virtual machine is instantiated in a cloud, determining, by the processing device from the virtual machine, a second quantity associated with usage of a software resource utilized on the virtual machine, and determining usage of the cloud in view of the first quantity and the second quantity.
Abstract:
According to an example, an application performance measurement for an application for a current time interval, a performance specification for the application, and a resource consumption metric for a resource of a plurality of resources that are to process the application for the current time interval may be accessed. In addition, the application performance measurement, the performance specification, and the resource consumption metric may be used to determine a resource specification for a next time interval for the resource of the plurality of resources. Moreover, the resource specification may be used to determine, by a processor, a resource weight for the resource of the plurality of resources for the next time interval.
Abstract:
A redundancy method, system, and apparatus, which can acquire first description information of a cloud application needing redundancy, where the first description information includes information about a source virtual machine and a source network which are used at a production site by the cloud application needing redundancy; and can generate second description information of the cloud application needing redundancy at a redundancy site based on the first description information that gives an overall description about the cloud application needing redundancy, where the second description information gives an overall description about the deployment of the cloud application needing redundancy at the redundancy site; and the redundancy site is capable of acquiring the second description information, to recover the cloud application needing redundancy at the redundancy site, thereby implementing redundancy based on a cloud application.
Abstract:
A server system receives messages from client computing devices. Each of the messages corresponds to a transaction. The server system assigns each respective transaction to a respective fresh virtual machine. Furthermore, the server system performs, as part of a respective virtual machine processing a respective transaction, a modification associated with the respective transaction to a shared database. The shared database is persisted independently of the plurality of virtual machines. In response to determining that processing of the respective transaction is complete, the server system discards the respective virtual machine. In response to a trigger, such as determining that the respective transaction is associated with a cyber-attack, the server system uses checkpoint data associated with the respective transaction to roll back the modifications associated with the respective transaction to the shared database.
Abstract:
Systems and methods for estimating power consumption in a network of computing devices are described. Operational information of a target server is periodically received and compared to benchmark data of a model of the target server. The operational information comprises performance data of the target server during a predefined time interval. Power consumption of the target server is estimated using the performance and benchmark data. The benchmark data is recalibrated if an error in the estimated power consumption is detected. An agent installed on the target server for collecting performance data is described. The target server can be a virtualized server, in which case, the agent acquires at least some of the performance data from a hypervisor of a physical server that hosts the target server.
Abstract:
A method for creating a software performance testing environment based on a virtual machine, wherein the method comprises: in response to obtaining a hard disk read/write request triggered by a virtual CPU of the virtual machine, notifying a virtual CPU scheduler to record a CPU time quota t1 already consumed by the virtual CPU in a current CPU schedule period; in response to detecting completion of hard disk read/write processing corresponding to the hard disk read/write request, predicting a hard disk read/write latency t corresponding to the hard disk read/write request in a target environment; notifying the virtual CPU scheduler to determine a CPU time quota already consumed by the virtual CPU in the current CPU schedule period based on the recorded CPU time quota t1 and the hard disk read/write latency t; and adjusting a system clock of the virtual machine based on the determined CPU time quota already consumed by the virtual CPU in the current CPU schedule period. The method may obtain, in the created software performance testing environment, a software performance testing result consistent with the result obtained under a highly configured server in the target environment.
Abstract:
Systems and methods for determining impact of a backup job on virtual storage resources are disclosed. An exemplary method includes determining an estimated performance and logical/physical capacity for the backup job on a virtual library storage (VLS). The method also includes determining an actual performance and logical/physical capacity without the backup job. The method also includes determining a simulated performance and logical/physical capacity based on the estimated and actual performance and logical/physical capacity. The method also includes comparing the simulated performance and logical/physical capacity to a threshold.
Abstract:
There is provided a storage control grid capable of controlling at least one service provided in the storage system and a method of operating thereof. The storage control grid comprises at least one service dispatcher operatively coupled to at least one service requestor and to a plurality of service providers. The method comprises requesting by service requester a service, thus giving rise to at least one service request; enabling, using said at least one service dispatcher, delivery of the service request to at least one service provider among said plurality of service providers, said service provider configured to provide said at least one service, wherein the delivery is enabled in accordance with data comprised in a service data structure handled by said at least one service dispatcher and indicative, at least, of association between said at least one service and service providers among said plurality of service providers.
Abstract:
A file backup method, which can be implemented on a virtual machine system or applied to backup files of a virtual machine, is herein described. The virtual machine system may include a virtual machine server and be associated with a backup server. Changes to a storage media are tracked through change block tracking. A location where file system records reside on the storage media is identified. Changed file system records are identified among the tracked changes to the storage media. Copies are made of the files that the changed file system records are pointing to.