SLA-aware multiple migration planning and scheduling in SDN-NFV-enabled clouds

被引:23
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, Dept Software Syst & Cybersecur, Clayton, Vic 3800, Australia
基金
澳大利亚研究理事会;
关键词
Live VM migration; Software-defined networking; Deadline violation; Multiple migration performance; Energy consumption; Quality of Service;
D O I
10.1016/j.jss.2021.110943
中图分类号
TP31 [计算机软件];
学科分类号
081202 ; 0835 ;
摘要
In Software-Defined Networking (SDN)-enabled cloud data centers, live migration is a key approach used for the reallocation of Virtual Machines (VMs) and Virtual Network Functions (VNFs). Using live migration, cloud providers can address their dynamic resource management and fault tolerance objectives without interrupting the service of users. However, performing multiple live migrations in arbitrary order can lead to service degradation. Therefore, efficient migration planning is essential to reduce the impact of live migration overheads. In addition, to prevent Quality of Service (QoS) degradations and Service Level Agreement (SLA) violations, it is necessary to set priorities for different live migration requests with various urgency. In this paper, we propose SLAMIG, a set of algorithms that composes deadline-aware multiple migration grouping algorithm and on-line migration scheduling to determine the sequence of VM/VNF migrations. The experimental results show that our approach with reasonable algorithm runtime can efficiently reduce the number of deadline misses and has a good migration performance compared with the one-by-one scheduling and two state-of-the-art algorithms in terms of total migration time, average execution time, downtime, and transferred data. We also evaluate and analyze the impact of multiple migrations on QoS and energy consumption. (C) 2021 Elsevier Inc. All rights reserved.
引用
收藏
页数:19
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