Title: QoS-aware flow scheduling for energy-efficient cloud data centre network

Authors: Songyun Wang; Jiabin Yuan; Xiaoda Zhang; Zhuzhong Qian; Xin Li; Ilsun You

Addresses: College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China ' College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China ' State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China ' State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210023, China ' CCST, Nanjing University of Aeronautics and Astronautics, State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing 210000, China ' Department of Information Security Engineering, Soonchunhyang University, Asan-si, Chungcheongnam-do, South Korea

Abstract: It is highly valuable to achieve energy-efficient cloud data centres, which always act as the basic infrastructures. This paper thus aims at reducing the energy consumption of network devices in cloud data centres by flexible flow scheduling. For such an aim, it is necessary to guarantee the flow-level performance, which is a critical requirement for quality of service (QoS) in production data centres. Hence, this paper takes both energy reduction and QoS into account for flow scheduling, and then proposes a three-phase framework to control the energy consumption for cloud data centre network (DCN) while guaranteeing flow-level performance. The core idea is to turn off the unnecessary switches off. From extensive simulations, it is shown that our solution could not only reduce about 20% of energy on average than the case with all switches on, but also maintain good flow-level performance, stability and fault tolerance simultaneously.

Keywords: cloud computing; data centre network; DCN; energy efficient; flow scheduling; flow-level performance.

DOI: 10.1504/IJAHUC.2020.108422

International Journal of Ad Hoc and Ubiquitous Computing, 2020 Vol.34 No.3, pp.141 - 153

Received: 30 Jul 2019
Accepted: 04 Sep 2019
Published online: 13 Jul 2020 *

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