An ant-colony approach for the design of optimal chunk scheduling policies in live peer-to-peer networks
by Pablo Romero; Franco Robledo; Pablo Rodríguez-Bocca
International Journal of Metaheuristics (IJMHEUR), Vol. 2, No. 2, 2013

Abstract: Peer-to-peer networks are self-organised communities over the internet infrastructure, in which peers are both clients and servers. The global resources of a peer-to-peer network increase proportionally with the population, promoting scalability. Peers are organised covering neighbouring-strategies and chunk-scheduling policies that determine the success of the cooperation scheme. In this paper, we address the design of chunk-scheduling policies in a cooperative scenario, assuming a complete mesh-topology under regime. All users wish to display a video channel with no cuts and low buffering times. We propose an in-depth analysis of this cooperative system, and develop the best chunk scheduling policy so far, found via a sophisticated ant-colony-based exploration. We introduce the new policy into a real platform. There, users wait five seconds to start watching following our new policy (versus minutes in previous policies), with acceptable number of cuts.

Online publication date: Sat, 05-Jul-2014

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Metaheuristics (IJMHEUR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com