Title: A novel scheduling algorithm for data-intensive workflow in virtualised clouds

Authors: Feng Li

Addresses: Department of Computer and Communications, Hunan Institute of Engineering, Hunan Province, China

Abstract: In cloud platforms, workflow applications have been widely used to solve the complicated problems, which often need to process a large volume of data. However, the characteristic of data-intensive for these applications are easily to result in low execution efficiency due to networking traffic or congestion. In this paper, we present a workflow scheduling algorithm which is capable of minimising the cost of networking communication and therefore improving the execution efficiency of those workflow applications. Extensive experiments are conducted on some real-world workflows to examine the performance of the proposed algorithm, and the results show that it can significantly reduce the communication cost and improve the execution efficiency of data-intensive workflows comparing with existing algorithms.

Keywords: cloud computing; virtual machine; workflow; task scheduling.

DOI: 10.1504/IJNVO.2019.100182

International Journal of Networking and Virtual Organisations, 2019 Vol.20 No.3, pp.284 - 300

Received: 31 Jan 2017
Accepted: 17 May 2017
Published online: 17 Jun 2019 *

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