DocumentCode :
240158
Title :
A map of the clouds: Virtual network mapping in cloud computing data centers
Author :
Alhazmi, Khaled ; Abu Sharkh, Mohamed ; Daehyun Ban ; Shami, A.
Author_Institution :
Dept. of Electr. & Comput. Eng., Western Univ., London, ON, Canada
fYear :
2014
fDate :
4-7 May 2014
Firstpage :
1
Lastpage :
6
Abstract :
Cloud computing success as a paradigm stems from the concepts its implementation was based on. Dynamic scalability and flexible pay-as-you-go pricing options attract business clients. However, efficient implementation of virtualization is the core that makes all these parts tick. To make that possible, cloud service providers need a thorough virtual network mapping system that allocates computational and network resources in a way that guarantees the quality of service conditions for clients while maximizing providers´ revenue and resource utilization. In this paper, a comprehensive system is introduced to solve virtual network mapping for a set of connection requests sent by cloud clients. Connections are collected in time intervals called windows. Consequently, node mapping and link mapping are performed. Different window size selection schemes are introduced and evaluated. Simulation results show that the dynamic window size algorithm achieves cloud service providers objectives in terms of served connections ratio, resource utilization and computational overhead.
Keywords :
cloud computing; computer centres; cloud computing data centers; cloud service providers; dynamic scalability; dynamic window size algorithm; flexible pay-as-you-go pricing options; link mapping; node mapping; virtual network mapping system; window size selection schemes; Bandwidth; Cloud computing; Heuristic algorithms; Resource management; Servers; Substrates; Virtual machining; Cloud computing; Cloud data centers; Node and Link mapping; Virtual network requests; Window size decision;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical and Computer Engineering (CCECE), 2014 IEEE 27th Canadian Conference on
Conference_Location :
Toronto, ON
ISSN :
0840-7789
Print_ISBN :
978-1-4799-3099-9
Type :
conf
DOI :
10.1109/CCECE.2014.6901053
Filename :
6901053
Link To Document :
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