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WISE: a computer system performance index scoring framework

delete2021-01-20
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OA
AI
L
Lorenzo Luciano *
I
Imre Kiss
P
Peter William Beardshear
E
Esther Kadosh
A
A. Ben Hamza
DOI:10.1186/s13677-020-00224-4delete
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Abstract

Abstract

En 中文
The performance levels of a computing machine running a given workload configuration are crucial for both users and providers of computing resources. Knowing how well a computing machine is running with a given workload configuration is critical to making proper computing resource allocation decisions. In this paper, we introduce a novel framework for deriving computing machine and computing resource performance indicators for a given workload configuration. We propose a workload/machine index score (WISE) framework for computing a fitness score for a workload/machine combination. The WISE score indicates how well a computing machine is running with a specific workload configuration by addressing the issue of whether resources are being stressed or sitting idle wasting precious resources. In addition to encompassing any number of computing resources, the WISE score is determined by considering how far from target levels the machine resources are operating at without maxing out. Experimental results demonstrate the efficacy of the proposed WISE framework on two distinct workload configurations.
Keywords:
Machine performance
Workload
Migration services
Compute performance
Virtual machines
Machine score
Cloud computing

Journal

J
Journal of Cloud Computing-Advances Systems and Applications
IF:
4.3
Papers:
763
Citations:
2.2K

Organization

C
concordia university - canada
Scholars:
8.0K
Papers: 8.9K
Citations: 4
A
amazon.com
Scholars:
700
Papers: 507
Citations: 8
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