Adaptive Server Allocation for Peer-assisted Video-on-Demand
Key: PAS+10-1
Author: Konstantin Pussep, Osama Abboud, Florian Gerlach, Ralf Steinmetz, Thorsten Strufe
Date: April 2010
Kind: In proceedings
Book title: Proceedings of the 24th IEEE International Symposium on Parallel and Distributed Processing IPDPS 2010
Keywords: peer-assistance, video-on-demand, resource allocations, QoS
Abstract: Dedicated servers are an undesirable but inevitable resource in peer-assisted streaming systems. Their provision is necessary to guarantee a satisfying quality of experience to consumers, yet they cause significant, and largely avoidable cost for the provider, which can be minimized. We propose two adaptive server allocation schemes that estimate the capacity situation and service demand of the system to adaptively optimize allocated resources. Extensive simulations support the efficiency of our approach, which, without considering any prior knowledge, allows achieving a competitive performance compared to systems that are well dimensioned using global knowledge.
View Full paper (PDF) | Download Full paper (PDF)

The documents distributed by this server have been provided by the contributing authors as a means to ensure timely dissemination of scholarly and technical work on a non-commercial basis. Copyright and all rights therein are maintained by the authors or by other copyright holders, not withstanding that they have offered their works here electronically. It is understood that all persons copying this information will adhere to the terms and constraints invoked by each author's copyright. These works may not be reposted without the explicit permission of the copyright holder.