DocumentCode :
403218
Title :
Provisioning content distribution networks over shared infrastructure
Author :
Nguyen, Thanh Vinh ; Chou, Chun Tung ; Boustead, Paul
Author_Institution :
Telecommun. & Inf. Technol. Res. Inst., Wollongong Univ., NSW, Australia
fYear :
2003
fDate :
28 Sept.-1 Oct. 2003
Firstpage :
119
Lastpage :
124
Abstract :
The current paradigm of content distribution networks (CDN) deployment requires heavy infrastructure investment since a large number of servers have to be deployed over a wide area. To overcome this difficulty, we propose a new paradigm where future CDNs are to be deployed over a leased server infrastructure. This paradigm shift changes the object placement problem in current CDNs to a combined object placement and resource provisioning problem. In this paper, we present a formulation of this problem, which is a combinatorial optimization, and prove its NP-hardness. We also present a heuristic solution to this problem based on Lagrangian relaxation and subgradient optimization, which also provides error bounds so that the accuracy of the obtained solution can be evaluated. The algorithm has been implemented and tested on a number of randomly generated network topologies, and results have shown promising solution accuracy.
Keywords :
Internet; combinatorial mathematics; computational complexity; network topology; optimisation; Lagrangian relaxation; NP-hardness; combinatorial optimization; content distribution networks deployment; provisioning content distribution networks; randomly generated network topologies; resource provisioning problem; shared infrastructure; subgradient optimization; Bandwidth; IP networks; Information technology; Lagrangian functions; Network servers; Network topology; Random number generation; Resource management; Testing; Web server;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Networks, 2003. ICON2003. The 11th IEEE International Conference on
ISSN :
1531-2216
Print_ISBN :
0-7803-7788-5
Type :
conf
DOI :
10.1109/ICON.2003.1266177
Filename :
1266177
Link To Document :
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