Software-Defined Networks for Resource Allocation in Cloud Computing: A Survey

Mohamed, Arwa, Hamdan, Mosab, Khan, Suleman, Abdelaziz, Ahmed, Babiker, Sharief F., Imran, Muhammad and Marsono, M.N. (2021) Software-Defined Networks for Resource Allocation in Cloud Computing: A Survey. Computer Networks. p. 108151. ISSN 1389-1286 (In Press)

[img] Text
Computer_networks.pdf - Accepted Version
Restricted to Repository staff only until 14 May 2022.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (1MB) | Request a copy
Official URL: https://doi.org/10.1016/j.comnet.2021.108151

Abstract

Cloud computing has a shared set of resources, including physical servers, networks, storage, and user applications. Resource allocation is a critical issue for cloud computing, especially in Infrastructure-as-a-Service (IaaS). The decision-making process in the cloud computing network is non-trivial as it is handled by switches and routers. Moreover, the network concept drifts resulting from changing user demands are among the problems affecting cloud computing. The cloud data center needs agile and elastic network control functions with control of computing resources to ensure proper virtual machine (VM) operations, traffic performance, and energy conservation. Software-Defined Network (SDN) proffers new opportunities to blueprint resource management to handle cloud services allocation while dynamically updating traffic requirements of running VMs. The inclusion of an SDN for managing the infrastructure in a cloud data center better empowers cloud computing, making it easier to allocate resources. In this survey, we discuss and survey resource allocation in cloud computing based on SDN. It is noted that various related studies did not contain all the required requirements. This study is intended to enhance resource allocation mechanisms that involve both cloud computing and SDN domains. Consequently, we analyze resource allocation mechanisms utilized by various researchers; we categorize and evaluate them based on the measured parameters and the problems presented. This survey also contributes to a better understanding of the core of current research that will allow researchers to obtain further information about the possible cloud computing strategies relevant to IaaS resource allocation.

Item Type: Article
Uncontrolled Keywords: Resource Allocation, Software-Defined Networks, Cloud Computing, Data Center Network, Edge-Computing, 5G
Subjects: G400 Computer Science
G600 Software Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: John Coen
Date Deposited: 14 May 2021 12:49
Last Modified: 14 May 2021 13:00
URI: http://nrl.northumbria.ac.uk/id/eprint/46174

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics