Abstract: A method comprises scheduling, by a weighted proportional-share virtual time processor scheduler, processor access to a first consumer during a time period in which a second consumer is blocked from processor access. When the second consumer becomes unblocked from processor access, the weighted proportional-share virtual time processor scheduler determines whether the length of the time period over which the second consumer was blocked from processor access exceeds a predefined time threshold. When determined that the length of the time period over which the second consumer was blocked from processor access does not exceed the predefined time threshold, then scheduler does not update the virtual time of the second consumer before scheduling processor access for the second consumer.

Abstract: A job profile describes characteristics of a job. A performance parameter is calculated based on the job profile, and using a value of the performance parameter, an allocation of resources is determined to assign to the job to meet a performance goal associated with a job.

Abstract: One embodiment is a method that determines application performance signatures occurring at an application server in a multi-tier architecture. The method then analyzes the application performance signatures to determine whether a change in transaction performance at the application server results from a modification to an application.

Abstract: A method comprises observing communication through a virtualized interface between at least one virtual machine (VM) and a driver domain. Based on the observed communication through the virtualized interface, a weighted amount of communication between the VM and the driver domain is determined for each of the VM(s), wherein the weighted amount is based at least in part on at least one characteristic of the observed communication, such as directional flow and/or size of packets in the communication. Another method comprises evaluating CPU utilization of a target network driver domain in processing communications having different characteristics, and deriving corresponding weighting for the different communication characteristics. The derived weighting for the different communication characteristics are employed within a communication monitor that observes communication between virtual machines and the target network driver domain.

Abstract: A method comprises determining an amount of central processing unit (CPU) usage by a driver domain on behalf of a given virtual machine (VM) over a measurement period. The method further comprises determining a share of CPU to schedule for the given VM for a plurality of future scheduling intervals based at least in part on the determined amount of CPU usage by the driver domain on behalf of the given VM over the measurement period. The method further comprises scheduling the determined share of CPU access to the given VM for the plurality of future scheduling intervals.

Abstract: A method comprises receiving, into a capacity planning system, workload information representing an expected workload of client accesses of streaming media files from a site. The method further comprises the capacity planning system determining, for at least one server configuration, how many servers of the at least one server configuration to be included at the site for supporting the expected workload in a desired manner.

Abstract: Systems and methods of enhanced backup job scheduling are disclosed. An example method may include determining a number of jobs (n) in a backup set, determining a number of tape drives (m) in the backup device, and determining a number of concurrent disk agents (maxDA) configured for each tape drive. The method may also include defining a scheduling problem based on n, m, and maxDA. The method may also include solving the scheduling problem using an integer programming (IP) formulation to derive a bin-packing schedule that minimizes makespan (S) for the backup set.

Abstract: Predicting resource usage of applications running in a virtual environment may include executing benchmarks in a native system and collecting first traces of resource utilization metrics; executing the same benchmarks in a virtual environment and collecting second traces of resource utilization metrics; generating a first prediction model that maps selected first traces to the second traces; generating a second prediction model that maps second selected first traces to the second traces; combining first and second application traces generated from running first and second applications on the native system; and predicting a combined resource usage of the first and second applications running in the virtual environment by applying the first and second prediction models to the combined application traces.

Abstract: A method comprises receiving, into a capacity planning system, workload information representing an expected workload of client accesses of streaming media files from a site. The method further comprises the capacity planning system determining, for at least one server configuration, how many servers of the at least one server configuration to be included at the site for supporting the expected workload in a desired manner.

Abstract: A method comprises determining an amount to which resource usage by a driver domain on behalf of a given virtual machine (VM) is to be limited. The method further comprises controlling the resource usage by the driver domain on behalf of the given VM so as not to exceed the determined amount. A system comprises a VM, a driver domain, and a shared resource that is usable by the VM and by the driver domain. The system further comprises a controller for limiting usage of the shared resource by the driver domain on behalf of the VM to prevent the usage of the shared resource by the driver domain on behalf of the VM from exceeding a determined amount.

Abstract: Described herein is a method for optimizing a prediction of resource usage of an application running in a virtual environment, comprising: providing a predetermined set of benchmarks, wherein the predetermined set of benchmarks; executing the predetermined set of benchmarks in a native hardware system in which the application natively resides; executing the predetermined set of benchmarks in the virtual environment; collecting first traces of first resource utilization metrics in the native hardware system based on the execution of the predetermined set of benchmarks in the native hardware system; collecting second traces of second resource utilization metrics in the virtual environment based on the execution of the predetermined set of benchmarks in the virtual environment; generating a first prediction model and a second prediction model; generating a third prediction model that maps all of the first traces of the selected first metric to the second traces of resource utilization metrics; comparing the firs

Abstract: Described herein is a system for predicting resource usage of an application running in a virtual environment.

Abstract: Described herein is a system for improving accuracy in a prediction of resource usage of an application running in a virtual environment. The system comprises a first hardware platform implementing a native hardware system in which an application natively resides and executes, the native hardware system operating to execute a predetermined set of benchmarks that includes at least one of a network-intensive workload and a disk-intensive workload, a second hardware platform implementing a virtual environment therein, the virtual environment operating to execute the predetermined set of benchmarks, and a third hardware platform operating to collect first resource usage traces from the first hardware platform that result from the execution of the predetermined set of benchmarks in the native hardware system and second resource usage traces from the second hardware platform that result from the execution of the predetermined set of benchmarks in the virtual environment.

Abstract: A system comprises a workload evaluator that is operable to receive a representative workload that is representative of competing demands for capacity of at least one shared computing resource. The workload evaluator evaluates the representative workload and computes a metric representing a degree of burstiness of demands present in the representative workload. The metric representing degree of burstiness of the representative workload may be used for estimating an upper bound on quality of service provided by a workload manager to the representative workload. The metric may also be used for evaluating at least one scheduler parameter setting of the workload manager to aid in determining an optimal parameter setting based at least in part on the estimated impact of the representative workload on QoS provided by the workload manager.

Abstract: A method executes a simulation to determine backup times to backup objects to storage devices using a number of concurrent disk agents that are assigned to each of the storage devices. The number of concurrent disk agents is changed during the backup of the objects to the storage devices.

Abstract: There is provided a computer-implemented method for selecting from a plurality of full configurations of a storage system an operational configuration for executing an application. An exemplary method comprises obtaining application performance data for the application on each of a plurality of test configurations. The exemplary method also comprises obtaining benchmark performance data with respect to execution of a benchmark on the plurality of full configurations, one or more degraded configurations of the full configurations and the plurality of test configurations. The exemplary method additionally comprises estimating a metric for executing the application on each of the plurality of full configurations based on the application performance data and the benchmark performance data. The operational configuration may be selected from among the plurality full configurations based on the metric.

Abstract: According to at least one embodiment, a method comprises receiving, into a capacity planning system, workload information representing an expected workload of client accesses of streaming media files from a site. The method further comprises receiving, into the capacity planning system, at least one service parameter that defines a desired service characteristic to be provided by a media server configuration under the expected workload. The method further comprises determining, by the capacity planning system, for at least one server configuration, how many servers of the at least one server configuration to be included at the site for supporting the expected workload in compliance with the at least one service parameter.

Abstract: A method comprises receiving into a planning tool a representative workload for a consumer. The method further comprises receiving into the planning tool quality of service desires of the consumer which define permitted degraded performance. In certain embodiments, the permitted degraded performance is time-limited wherein demands of the representative workload may exceed a pre-defined utilization constraint for at least one resource servicing the demands for no more than a pre-defined amount of contiguous time. The planning tool determines an allocation of demand of the consumer for each of a plurality of different classes of service (COSs). In certain embodiments, a first COS provides guaranteed resource access for servicing demand allocated thereto, and a second COS provides non-guaranteed resource access for servicing demand allocated thereto. In certain embodiments, the allocation of demand to the different COSs may be determined for both a normal mode and a failure mode of operation.

Abstract: A method comprises receiving, by a capacity management tool, a capacity management operation request that specifies a resource pool-level operation desired for managing capacity of a resource pool that services workloads. The capacity management tool determines, in response to the received request, one or more actions to perform in the resource pool for performing the requested capacity management operation in compliance with defined operational parameters of the workloads. The method further comprises performing the determined one or more actions for performing the requested capacity management operation.

Abstract: A method comprises determining an aggregate usage of CPU attributable to a given virtual machine (VM), wherein the aggregate usage of CPU attributable to the given VM includes a determined amount of CPU usage by a driver domain, such as by a network driver domain, that is attributable to the given VM. The method further comprises scheduling, by an aggregate proportional-share scheduler, CPU access to the given VM based at least in part on the determined aggregate usage of CPU attributable to the given VM.