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Network and Server Resource Management Strategies for Data Centre Infrastructures: A Survey

Tso, FP, Jouet, S and Pezaros, DP (2016) Network and Server Resource Management Strategies for Data Centre Infrastructures: A Survey. Computer Networks. ISSN 1389-1286

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The advent of virtualisation and the increasing demand for outsourced, elastic compute charged on a pay-as-you-use basis has stimulated the development of large-scale Cloud Data Centres (DCs) housing tens of thousands of computer
clusters. Of the signi�cant capital outlay required for building and operating such infrastructures, server and network equipment account for 45% and 15% of the total cost, respectively, making resource utilisation e�ciency paramount in order to increase the operators' Return-on-Investment (RoI).
In this paper, we present an extensive survey on the management of server and network resources over virtualised Cloud DC infrastructures, highlighting
key concepts and results, and critically discussing their limitations and implications for future research opportunities. We highlight the need for and bene
�ts of adaptive resource provisioning that alleviates reliance on static utilisation prediction models and exploits direct measurement of resource utilisation
on servers and network nodes. Coupling such distributed measurement with logically-centralised Software De�ned Networking (SDN) principles, we subsequently
discuss the challenges and opportunities for converged resource management over converged ICT environments, through unifying control loops to globally orchestrate adaptive and load-sensitive resource provisioning.

Item Type: Article
Uncontrolled Keywords: 08 Information And Computing Sciences, 10 Technology, 09 Engineering
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Computer Science & Mathematics
Publisher: Elsevier
Date Deposited: 07 Jul 2016 09:17
Last Modified: 04 Sep 2021 12:44
DOI or ID number: 10.1016/j.comnet.2016.07.002
URI: https://researchonline.ljmu.ac.uk/id/eprint/3853
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