Abstract. Robust resource share estimation of data-intensive work- loads is integral to efficient workload management in a cluster where.
Robust resource share estimation of data-intensive workloads is integral to efficient workload management in a (virtualized) cluster where multiple systems ...
The model will be applied in the context of autonomic management of cloud resources to adapt to variations in the application workload [40].
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Resource distribution estimation for Data-Intensive workloads: Give me my share & no one gets hurt! Citation. Khoshkbar Foroushha, A, Ranjan, R & Strazdins ...
Our analysis shows that the framework can successfully estimate the whole spectrum of resource usage as probability distribution functions for wide ranges of ...
Resource distribution estimation for data-intensive workloads: Give me my share & no one gets hurt! A Khoshkbarforoushha, R Ranjan, P Strazdins. Advances in ...
Resource Distribution Estimation for Data-Intensive Workloads: Give Me My Share & No One Gets Hurt! A. KhoshkbarforoushhaR. RanjanP. Strazdins · ESOCC Workshops.
Efficient resource consumption and performance estimation of data-intensive workloads is central to the design and development of workload management ...
Using representative HPC and cluster workload logs, this paper identifies, analyzes, and quantifies the level of social influence across HPC users. We show the ...
Khoshkbar Foroushha, A, Ranjan, R & Strazdins, P 2015, 'Resource distribution estimation for Data-Intensive workloads: Give me my share & no one gets hurt ...