DocumentCode
2215823
Title
Solving virtual machine packing with a Reordering Grouping Genetic Algorithm
Author
Wilcox, David ; McNabb, Andrew ; Seppi, Kevin
Author_Institution
CS Dept., BYU, Provo, UT, USA
fYear
2011
fDate
5-8 June 2011
Firstpage
362
Lastpage
369
Abstract
We formally define multi-capacity bin packing, a generalization of conventional bin packing, and develop an algorithm called Reordering Grouping Genetic Algorithm (RGGA) to assign VMs to servers. We first test RGGA on conventional bin packing problems and show that it yields excellent results but much more efficiently. We then generate a multi-constraint test set, and demonstrate the effectiveness of RGGA in this context. Lastly, we show the applicability of RGGA in its desired context by using it to develop an assignment of real virtual machines to servers.
Keywords
bin packing; computational complexity; genetic algorithms; virtual machines; multicapacity bin packing; multiconstraint test set; reordering grouping genetic algorithm; virtual machine packing; Approximation algorithms; Genetic algorithms; Genetics; Redundancy; Servers; USA Councils; Virtual machining; Bin Packing; Genetic Algorithm; Virtualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Evolutionary Computation (CEC), 2011 IEEE Congress on
Conference_Location
New Orleans, LA
ISSN
Pending
Print_ISBN
978-1-4244-7834-7
Type
conf
DOI
10.1109/CEC.2011.5949641
Filename
5949641
Link To Document