A Review on Task Performance Prediction in Multi-core Based Systems

Pinel, Frédéric; Pecero, Johnatan E.; Bouvry, Pascal; Khan, Samee U.

doi:10.1109/cit.2011.107

Cited by 4 publications

(2 citation statements)

References 36 publications

(26 reference statements)

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“…Therefore, a growing need for QoS resource management and scheduling algorithms is observed [85]. QoS resource management aims at providing guaranteed deterministic services to Service Level Agreement (SLA) [39] based premium users and fair services to the best users. The users that do not require performance bounds are known as best users [85].…”

Section: Introductionmentioning

confidence: 99%

A survey on resource allocation in high performance distributed computing systems

et al. 2013

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a b s t r a c tAn efficient resource allocation is a fundamental requirement in high performance computing (HPC) systems. Many projects are dedicated to large-scale distributed computing systems that have designed and developed resource allocation mechanisms with a variety of architectures and services. In our study, through analysis, a comprehensive survey for describing resource allocation in various HPCs is reported. The aim of the work is to aggregate under a joint framework, the existing solutions for HPC to provide a thorough analysis and characteristics of the resource management and allocation strategies. Resource allocation mechanisms and strategies play a vital role towards the performance improvement of all the HPCs classifications. Therefore, a comprehensive discussion of widely used resource allocation strategies deployed in HPC environment is required, which is one of the motivations of this survey. Moreover, we have classified the HPC systems into three broad categories, namely: (a) cluster, (b) grid, and (c) aforementioned systems are cataloged into pure software and hybrid/hardware solutions. The system classification is used to identify approaches followed by the implementation of existing resource allocation strategies that are widely presented in the literature.

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Section: Introductionmentioning

confidence: 99%

A survey on resource allocation in high performance distributed computing systems

et al. 2013

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“…Both, [38] and [34], deal with independent jobs through (semi-)static scheduling mode leveraging DVFS technique to minimize the energy consumption. (For recent literature reviews the reader is referred to [1], [11], and [12].) 3 The Energy Efficient Utilization of Resources in Cloud Computing Systems…”

Section: Related Workmentioning

confidence: 99%