TY - JOUR
T1 - SLA-aware multiple migration planning and scheduling in SDN-NFV-enabled clouds
AU - He, Tian Zhang
AU - Toosi, Adel N.
AU - Buyya, Rajkumar
N1 - Funding Information:
This work is partially supported by an Australian Research Council (ARC) Discovery Project (ID: DP160102414) and a China Scholarship Council - University of Melbourne PhD Scholarship. We thank Editor-in-Chief, Area Editor, and reviewers for their valuable comments and suggestions that helped in improving the paper significantly.
Publisher Copyright:
© 2021 Elsevier Inc.
Copyright:
Copyright 2021 Elsevier B.V., All rights reserved.
PY - 2021/6
Y1 - 2021/6
N2 - 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.
AB - 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.
KW - Deadline violation
KW - Energy consumption
KW - Live VM migration
KW - Multiple migration performance
KW - Quality of Service
KW - Software-defined networking
UR - http://www.scopus.com/inward/record.url?scp=85102577367&partnerID=8YFLogxK
U2 - 10.1016/j.jss.2021.110943
DO - 10.1016/j.jss.2021.110943
M3 - Article
AN - SCOPUS:85102577367
SN - 0164-1212
VL - 176
JO - Journal of Systems and Software
JF - Journal of Systems and Software
M1 - 110943
ER -
