Performance evaluation of live virtual machine migration in SDN-enabled cloud data centers

被引：35

作者：

He, TianZhang ^{[1
]}

Toosi, Adel N. ^{[2
]}

Buyya, Rajkumar ^{[1
]}

机构：

[1] Univ Melbourne, Sch Comp & Informat Syst, Clouds Comp & Distributed Syst CLOUDS Lab, Parkville, Vic 3010, Australia

[2] Monash Univ, Fac Informat Technol, Clayton, Vic 3800, Australia

来源：

JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING | 2019年 / 131卷

基金：

澳大利亚研究理事会;

关键词：

Live VM migration; Software-Defined Networking; Cloud computing; Virtual machine; Performance measures; OpenStack; OpenDaylight; COST;

D O I：

10.1016/j.jpdc.2019.04.014

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In Software-Defined Networking (SDN) enabled cloud data centers, live VM migration is a key technology to facilitate the resource management and fault tolerance. Despite many research focus on the network-aware live migration of VMs in cloud computing, some parameters that affect live migration performance are neglected to a large extent. Furthermore, while SDN provides more traffic routing flexibility, the latencies within the SDN directly affect the live migration performance. In this paper, we pinpoint the parameters from both system and network aspects affecting the performance of live migration in the environment with OpenStack platform, such as the static adjustment algorithm of live migration, the performance comparison between the parallel and the sequential migration, and the impact of SDN dynamic flow scheduling update rate on TCP/IP protocol. From the QoS view, we evaluate the pattern of client and server response time during the pre-copy, hybrid post-copy, and auto-convergence based migration. (C) 2019 Elsevier Inc. All rights reserved.

引用

页码：55 / 68

页数：14

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