DocumentCode :
170865
Title :
Performance evaluation and asymptotics for Content Delivery Networks
Author :
Shah, Virali ; de Veciana, Gustavo
Author_Institution :
ECE Dept., Univ. of Texas at Austin, Austin, TX, USA
fYear :
2014
fDate :
April 27 2014-May 2 2014
Firstpage :
2607
Lastpage :
2615
Abstract :
Large scale Content Delivery Networks (CDNs) are one of the key components of today´s information infrastructure. This paper proposes and analyzes a simple stochastic model for a file-server system wherein servers can work together, as a pooled resource, to meet individual user requests. In such systems basic questions include: How and where to replicate files? What is the impact of dynamic service allocation across request types, and whether it can provide substantial gains over simpler load balancing policies? What are tradeoffs amongst performance, reliability and recovery costs, and energy? The paper provides both explicit and asymptotic approximations for large systems towards addressing these basic questions.
Keywords :
computer network performance evaluation; file servers; CDN; dynamic service allocation; file-server system; information infrastructure; large scale content delivery networks; load balancing policies; performance evaluation; stochastic model; Approximation methods; Computers; Conferences; Delays; Load modeling; Resource management; Servers;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2014 Proceedings IEEE
Conference_Location :
Toronto, ON
Type :
conf
DOI :
10.1109/INFOCOM.2014.6848208
Filename :
6848208
Link To Document :
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