Fast proxy delivery of multiple streaming sessions in shared running buffers
Songqing Chen
Bo Shen
Yong Yan
Basu, S.
Xiaodong Zhang
Dept. of Comput. Sci., George Mason Univ., Fairfax, VA, USA;
This paper appears in: Multimedia, IEEE Transactions on
Publication Date: Dec. 2005
Volume: 7,
Issue: 6
On page(s): 1157- 1169
ISSN: 1520-9210
INSPEC Accession Number: 8655817
Digital Object Identifier: 10.1109/TMM.2005.858417
Current Version Published: 2005-11-21
Abstract
With the falling price of memory, an increasing number of multimedia servers and proxies are now equipped with a large memory space. Caching media objects in the memory of a proxy helps to reduce the network traffic, the disk I/O bandwidth requirement, and the data delivery latency. The running buffer approach and its alternatives are representative techniques to caching streaming data in the memory. There are two limits in the existing techniques. First, although multiple running buffers for the same media object co-exist in a given processing period, data sharing among multiple buffers is not considered. Second, user access patterns are not insightfully considered in the buffer management. In this paper, we propose two techniques based on shared running buffers in the proxy to address these limits. Considering user access patterns and characteristics of the requested media objects, our techniques adaptively allocate memory buffers to fully utilize the currently buffered data of streaming sessions, with the aim to reduce both the server load and the network traffic. Experimentally comparing with several existing techniques, we show that the proposed techniques achieve significant performance improvement by effectively using the shared running buffers.
Index
Terms
Available to subscribers and IEEE members.
References
Available to subscribers and IEEE members.
Citing Documents
Available to subscribers and IEEE members.
Cart
