Batching and dynamic allocation techniques for increasing the stream capacity of an on-demand media server

Divyesh Jadav; Chutimet Srinilta; Alok Choudhary

Batching and dynamic allocation techniques for increasing the stream capacity of an on-demand media server

Divyesh Jadav^*, Chutimet Srinilta, Alok Choudhary

^*Corresponding author for this work

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

A server for an interactive distributed multimedia system may require thousands of gigabytes of storage space and high I/O bandwidth. In order to maximize system utilization, and thus minimize cost, the load must be balanced among the server's disks, interconnection network and scheduler. Many algorithms for maximizing retrieval capacity from the storage system have been proposed. This paper presents techniques for improving server capacity by assigning media requests to the nodes of a server so as to balance the load on the interconnection network and the scheduling nodes. Five policies for request assignment are developed. The performance of these policies on an implementation of a server model developed earlier is presented.

Original language	English (US)
Title of host publication	Proceedings of the IEEE International Workshop on Research Issues in Data Engineering
Editors	P. Scheuermann
Publisher	IEEE
Pages	122-130
Number of pages	9
State	Published - Jan 1 1997
Event	Proceedings of the 1997 7th International Workshop on Research Issues in Data Engineering, RIDE'97 - Birmingham, UK Duration: Apr 7 1997 → Apr 8 1997

Other

Other	Proceedings of the 1997 7th International Workshop on Research Issues in Data Engineering, RIDE'97
City	Birmingham, UK
Period	4/7/97 → 4/8/97

ASJC Scopus subject areas

Hardware and Architecture
Software
Engineering (miscellaneous)

Cite this

@inproceedings{ff491e1191914925becc71a792c24326,

title = "Batching and dynamic allocation techniques for increasing the stream capacity of an on-demand media server",

abstract = "A server for an interactive distributed multimedia system may require thousands of gigabytes of storage space and high I/O bandwidth. In order to maximize system utilization, and thus minimize cost, the load must be balanced among the server's disks, interconnection network and scheduler. Many algorithms for maximizing retrieval capacity from the storage system have been proposed. This paper presents techniques for improving server capacity by assigning media requests to the nodes of a server so as to balance the load on the interconnection network and the scheduling nodes. Five policies for request assignment are developed. The performance of these policies on an implementation of a server model developed earlier is presented.",

author = "Divyesh Jadav and Chutimet Srinilta and Alok Choudhary",

year = "1997",

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editor = "P. Scheuermann",

booktitle = "Proceedings of the IEEE International Workshop on Research Issues in Data Engineering",

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note = "Proceedings of the 1997 7th International Workshop on Research Issues in Data Engineering, RIDE'97 ; Conference date: 07-04-1997 Through 08-04-1997",

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Jadav, D, Srinilta, C & Choudhary, A 1997, Batching and dynamic allocation techniques for increasing the stream capacity of an on-demand media server. in P Scheuermann (ed.), Proceedings of the IEEE International Workshop on Research Issues in Data Engineering. IEEE, pp. 122-130, Proceedings of the 1997 7th International Workshop on Research Issues in Data Engineering, RIDE'97, Birmingham, UK, 4/7/97.

Batching and dynamic allocation techniques for increasing the stream capacity of an on-demand media server. / Jadav, Divyesh; Srinilta, Chutimet; Choudhary, Alok.

Proceedings of the IEEE International Workshop on Research Issues in Data Engineering. ed. / P. Scheuermann. IEEE, 1997. p. 122-130.

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Choudhary, Alok

PY - 1997/1/1

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N2 - A server for an interactive distributed multimedia system may require thousands of gigabytes of storage space and high I/O bandwidth. In order to maximize system utilization, and thus minimize cost, the load must be balanced among the server's disks, interconnection network and scheduler. Many algorithms for maximizing retrieval capacity from the storage system have been proposed. This paper presents techniques for improving server capacity by assigning media requests to the nodes of a server so as to balance the load on the interconnection network and the scheduling nodes. Five policies for request assignment are developed. The performance of these policies on an implementation of a server model developed earlier is presented.

AB - A server for an interactive distributed multimedia system may require thousands of gigabytes of storage space and high I/O bandwidth. In order to maximize system utilization, and thus minimize cost, the load must be balanced among the server's disks, interconnection network and scheduler. Many algorithms for maximizing retrieval capacity from the storage system have been proposed. This paper presents techniques for improving server capacity by assigning media requests to the nodes of a server so as to balance the load on the interconnection network and the scheduling nodes. Five policies for request assignment are developed. The performance of these policies on an implementation of a server model developed earlier is presented.

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BT - Proceedings of the IEEE International Workshop on Research Issues in Data Engineering

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Y2 - 7 April 1997 through 8 April 1997

ER -

Batching and dynamic allocation techniques for increasing the stream capacity of an on-demand media server

Abstract

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ASJC Scopus subject areas

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