Measurement-based resource allocation for multimedia applications

Paul Barham; Simon Crosby; Tim Granger; Neil Stratford; Meriel Huggard; Fergal Toomey

doi:10.1117/12.298430

29 December 1997 Measurement-based resource allocation for multimedia applications

Paul Barham, Simon Crosby, Tim Granger, Neil Stratford, Meriel Huggard, Fergal Toomey

Proceedings Volume 3310, Multimedia Computing and Networking 1998; (1997) https://doi.org/10.1117/12.298430
Event: Photonics West '98 Electronic Imaging, 1998, San Jose, CA, United States

Abstract

Modern networks are now capable of guaranteeing a consistent quality of service (QoS) to multimedia traffic streams. A number of major operating system vendors are also working hard to extend these guarantees into the end-system. In both cases, however, there remains the problem of determining a service rate sufficient to ensure the desired quality of service. Source modeling is not a sustainable approach in the network case and it is even less feasible to model the demands of multimedia applications. The ESPRIT measure project is successfully using on-line measurement and estimation to perform resource allocation for bursty traffic in ATM networks. In this paper we consider the applicability of the same theory to resource allocation in a multimedia operating system which offers QoS guarantees to its applications.

Citation Download Citation

Paul Barham, Simon Crosby, Tim Granger, Neil Stratford, Meriel Huggard, and Fergal Toomey "Measurement-based resource allocation for multimedia applications", Proc. SPIE 3310, Multimedia Computing and Networking 1998, (29 December 1997); https://doi.org/10.1117/12.298430

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