A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems

Qureshi, Muhammad Shuaib and Qureshi, Muhammad Bilal and Fayaz, Muhammad and Mashwani, Wali Khan and Belhaouari, Samir Brahim and Hassan, Saima and Shah, Asadullah (2020) A comparative analysis of resource allocation schemes for real-time services in high-performance computing systems. International journal of Distributed sensor networks, 16 (8). pp. 1-35. ISSN 1550-1477 E-ISSN 1550-1477

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Abstract

An efficient resource allocation scheme plays a vital role in scheduling applications on high-performance computing resources in order to achieve desired level of service. The major part of the existing literature on resource allocation is covered by the real-time services having timing constraints as primary parameter. Resource allocation schemes for the real-time services have been designed with various architectures (static, dynamic, centralized, or distributed) and quality of service criteria (cost efficiency, completion time minimization, energy efficiency, and memory optimization). In this analysis, numerous resource allocation schemes for real-time services in various high-performance computing (distributed and non-distributed) domains have been studied and compared on the basis of common parameters such as application type, operational environment, optimization goal, architecture, system size, resource type, optimality, simulation tool, comparison technique, and input data. The basic aim of this study is to provide a consolidated platform to the researchers working on scheduling and allocating high-performance computing resources to the real-time services. This work comprehensively discusses, integrates, analysis, and categorizes all resource allocation schemes for real-time services into five high-performance computing classes: grid, cloud, edge, fog, and multicore computing systems. The workflow representations of the studied schemes help the readers in understanding basic working and architectures of these mechanisms in order to investigate further research gaps

Item Type:	Article (Journal)
Additional Information:	6566/82351
Uncontrolled Keywords:	High-performance computing, resource allocation scheme, real-time systems, cloud computing, fog computing, edge computing, grid computing
Subjects:	T Technology > T Technology (General) > T10.5 Communication of technical information
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button):	Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology > Department of Information System Kulliyyah of Information and Communication Technology Kulliyyah of Information and Communication Technology
Depositing User:	Prof Asadullah Shah
Date Deposited:	01 Sep 2020 10:52
Last Modified:	01 Sep 2020 10:52
URI:	http://irep.iium.edu.my/id/eprint/82351

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