A Strength Pareto Evolutionary Algorithm for live migration of multiple interdependent virtual machines in data centers
Sarker, Tusher Kumer & Tang, Maolin (2015) A Strength Pareto Evolutionary Algorithm for live migration of multiple interdependent virtual machines in data centers. Neural Information Processing: 22nd International Conference, ICONIP 2015, Proceedings Part II [Lecture Notes in Computer Science, Volume 9490], pp. 114-121.
Administrators only | Request a copy from author
Although live VM migration has been intensively studied, the problem of live migration of multiple interdependent VMs has hardly been investigated. The most important problem in the live migration of multiple interdependent VMs is how to schedule VM migrations as the schedule will directly affect the total migration time and the total downtime of those VMs. Aiming at minimizing both the total migration time and the total downtime simultaneously, this paper presents a Strength Pareto Evolutionary Algorithm 2 (SPEA2) for the multi-VM migration scheduling problem. The SPEA2 has been evaluated by experiments, and the experimental results show that the SPEA2 can generate a set of VM migration schedules with a shorter total migration time and a shorter total downtime than an existing genetic algorithm, namely Random Key Genetic Algorithm (RKGA). This paper also studies the scalability of the SPEA2.
Impact and interest:
Citation counts are sourced monthly from and citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
|Item Type:||Journal Article|
|Keywords:||live VM migration, migration time, downtime, strength pareto evolutionary algorithm|
|Divisions:||Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2015 Springer|
|Deposited On:||16 Sep 2015 00:44|
|Last Modified:||17 Dec 2015 03:28|
Repository Staff Only: item control page