Abstract:
A method for controlling resource allocation is provided. The method includes determining a service metric associated with a first application, wherein the first application is associated with one or more virtual machines. The method further includes comparing the service metric to an application specific service level goal associated with the first application and modifying a resource allocation associated with the first application at one or more of the virtual machines.
Abstract:
A model is constructed to determine performance of each computing application based on allocation of resources (including at least one hardware resource) to the computing applications. How the allocation of the resources to the computing applications affects the performance is unknown beforehand. The resources are allocated to the computing applications based at least on the model. Where the resources are overloaded as allocated to the computing applications, performance degradation of each computing application is performed based at least on priorities of the computing applications relative to one another and on the model. Performance degradation reduces usage of the resources by the computing applications so that the resources are no longer overloaded. How the priorities of the computing applications affect the performance degradation in a relative manner to one another is known and predictable beforehand.
Abstract:
To schedule workloads of requesters of a shared storage resource, a scheduler specifies relative fairness for the requesters of the shared storage resource. In response to the workloads of the requesters, the scheduler modifies performance of the scheduler to deviate from the specified relative fairness to improve input/output (I/O) efficiency in processing the workloads at the shared storage resource.
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:
To determine files associated with one or more workflows, a trace of accesses of files in at least one server is received. The files are grouped into at least one set of files, where the files in the set are accessed together more than a predetermined number of times in the trace. Files associated with the particular workflow are identified based on the at least one set.
Abstract:
To schedule workloads of requesters of a shared storage resource, a scheduler specifies relative fairness for the requesters of the shared storage resource. In response to the workloads of the requesters, the scheduler modifies performance of the scheduler to deviate from the specified relative fairness to improve input/output (I/O) efficiency in processing the workloads at the shared storage resource.