Title :
Multiple-channel multicast scheduling for scalable bulk-data transport
Author :
Donahoo, Michael J. ; Ammar, Mostafa H. ; Zegura, Ellen W.
Author_Institution :
Dept. of Comput. Sci., Baylor Univ., Waco, TX, USA
Abstract :
A key technique for allowing servers to handle a large volume of requests for file transfers is to multicast the data to the set of requesting clients. Typically the paths from the server to the clients will be heterogeneous in bandwidth availability. Multiple-channel multicast (MCM) is an approach that can be used to handle this heterogeneity. In this approach the data is multicast over multiple channels, each addressed as a separate multicast group. Each receiver subscribes to a set of channels (i.e., joins the corresponding multicast groups) commensurate with its own rate capabilities. Of particular interest in the design of MCM schemes is the scheduling of data transmission across the multiple channels to accommodate asynchronous requests from clients. In this paper we present and analyze a new multiple-channel multicast approach called partition organization scheduling. The scheme is designed to result in good reception efficiency when compared to existing proposals while improving on their performance when other measures of interest are considered
Keywords :
client-server systems; data communication; multicast communication; scheduling; telecommunication channels; asynchronous requests; bandwidth availability; data transmission; file transfers; heterogeneous paths; multiple-channel multicast scheduling; partition organization scheduling; receiver heterogeneity; scalable bulk-data transport; Availability; Bandwidth; Computer science; Data communication; Data engineering; Degradation; Delay; Feedback; Processor scheduling; Proposals;
Conference_Titel :
INFOCOM '99. Eighteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Proceedings. IEEE
Conference_Location :
New York, NY
Print_ISBN :
0-7803-5417-6
DOI :
10.1109/INFCOM.1999.751473