• KSII Transactions on Internet and Information Systems
    Monthly Online Journal (eISSN: 1976-7277)

Distributing Network Loads in Tree-based Content Distribution System

Vol. 7, No.1, January 30,2013
10.3837/tiis.2013.01.002, Download Paper (Free):

Abstract

Content distribution to a large number of concurrent clients stresses both server and network. While the server limitation can be circumvented by deploying server clusters, the network limitation is far less easy to cope with, due to the difficulty in measuring and balancing network load. In this paper, we use two useful network load metrics, the worst link stress (WLS) and the degree of interference (DOI), and formulate the problem as partitioning the clients into disjoint subsets subject to the server capacity constraint so that the WLS and the DOI are reduced for each session and also well balanced across the sessions. We present a network load-aware partition algorithm, which is practicable and effective in achieving the design goals. Through experiments on PlanetLab, we show that the proposed scheme has the remarkable advantages over existing schemes in reducing and balancing the network load. We expect the algorithm and performance metrics can be easily applied to various Internet applications, such as media streaming, multicast group member selection


Statistics

Show / Hide Statistics

Statistics (Cumulative Counts from December 1st, 2015)
Multiple requests among the same browser session are counted as one view.
If you mouse over a chart, the values of data points will be shown.


Cite this article

[IEEE Style]
Seung Chul Han, Sungwook Chung, Kwang-Sik Lee, Hyunmin Park and *Minho Shin, "Distributing Network Loads in Tree-based Content Distribution System," KSII Transactions on Internet and Information Systems, vol. 7, no. 1, pp. 22-37, 2013. DOI: 10.3837/tiis.2013.01.002

[ACM Style]
Han, S. C., Chung, S., Lee, K., Park, H., and Shin, *. 2013. Distributing Network Loads in Tree-based Content Distribution System. KSII Transactions on Internet and Information Systems, 7, 1, (2013), 22-37. DOI: 10.3837/tiis.2013.01.002