A generalised diffusion-based file replication scheme for load balancing in P2P file-sharing networks
by Masanori Takaoka; Masato Uchida; Kei Ohnishi; Yuji Oie
International Journal of Grid and Utility Computing (IJGUC), Vol. 3, No. 4, 2012

Abstract: We propose a generalised diffusion-based file replication scheme for load balancing in unstructured P2P file-sharing networks. The generalised method is derived by replacing the replication probability of a peer used in our previous study with a new expression. In the previous expression, the replication probability is defined to be proportional to the difference between its own load and the average load of its neighbour peers. We show here that the replication probability can instead be expressed as a simple average of one defined to be negatively proportional to its own load and one defined to be proportional to the average load of its neighbour peers. The generalised method (a) includes the above three methods as special cases, (b) can control the trade-off between search and load balancing performances, (c) has a physical analogy to diffusion phenomena, and (d) achieves a good balance in the trade-off differently from our previous method.

Online publication date: Sat, 20-Dec-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 Grid and Utility Computing (IJGUC):
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