Authors: Yongjian Li; Dongbo Liu
Addresses: College of Electrical and Information Engineering, Hunan Institute of Engineering, Xiangtan 411104, China ' College of Computer and Communication, Hunan Institute of Engineering, Xiangtan 411104, China
Abstract: Recently, more and more data-intensive applications have been deployed in cloud platforms due to its cost-effective and elastic capability. Although computing resources (i.e., CPU and RAM) can be provisioned in on-demand manner, the network bandwidth has enforce certain admission controlling for providing desirable quality-of-service (QoS). As a result, data-intensive applications often suffer from high delay during the phase of bulk data transferring between computing nodes. In this paper, we present an integrated bandwidth reservation algorithm, which combines different admission controlling policies and minimises the finishing time for all jobs in an online manner. Performance evaluation on a real-world cloud platform shows that the proposed reservation algorithm can ensure efficient bulk data transferring even when the system is facing heavy workloads.
Keywords: bandwidth reservation; relaxed policy; constrained optimisation; cloud computing.
International Journal of Networking and Virtual Organisations, 2019 Vol.21 No.4, pp.438 - 454
Received: 27 Sep 2017
Accepted: 12 Jan 2018
Published online: 15 Nov 2019 *