A Measurement Study of Storage Resource and Multimedia Contents on a High-Performance Research and Education Network

Abstract

With the rapid advent and proliferation of peer-to-peer applications, research and education communities who have high performance networks have started to search for the possibilities of being benefited from the peer-to-peer architecture, in designing and supporting supercomputing applications as well as data-intensive applications. However, surprisingly, although they are mainly concerned with ways to take advantage of edge resources on their high performance network infrastructure, there has not been much work to measure and characterize the amount and usage pattern of the resources. In this paper, we remedy this situation by presenting a measurement study performed over a set of machines in a high performance research and education network, focusing on storage resources, multimedia contents, and availability of machines. We believe that this report will be a good reference to peer-to-peer and/or Grid system designers who have had troubles in getting an estimate for the amount of storage resource and multimedia contents on a high performance network, prior to planning and offering a distributed data service or storage service to re-search and education communities.