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Handling Multiple Bottlenecks, Service Differentiation, and Demand Uncertainty in Media on Demand Infrastructures

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Setzer, Thomas:
Handling Multiple Bottlenecks, Service Differentiation, and Demand Uncertainty in Media on Demand Infrastructures.
In: 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services, 2008 : CEC & EEE 2008 ; 21 - 24 July 2008, Crystal City, Washington, D.C., USA. - Washington D.C., USA, 2008. - S. 255-260
ISBN 978-0-7695-3340-7

Volltext

Link zum Volltext (externe URL): https://doi.org/10.1109/CECandEEE.2008.113

Kurzfassung/Abstract

This paper introduces admission control models for accepting or denying requests to differentiated media streaming services to avoid overload and to use multiple scarce server resources efficiently. The decision models are based on deterministic and stochastic mathematical programming techniques and use a number of heuristics to determine model parameters at run-time. In contrast to existing admission control approaches, the models address the problem of allocating multiple scarce resources, allow for finegrained service differentiation, and for adaptive admission control as demand forecasts are updated on every incoming service request and feedback is used regarding current resource utilization levels to dynamically adjust admission control policies. Experiments are described to illustrate the benefits of using the adaptive admission control models over static admission control rules.

Weitere Angaben

Publikationsform:Aufsatz in einem Buch
Institutionen der Universität:Wirtschaftswissenschaftliche Fakultät > Betriebswirtschaftslehre > Lehrstuhl für Allgemeine Betriebswirtschaftslehre und Wirtschaftsinformatik
DOI / URN / ID:10.1109/CECandEEE.2008.113
Titel an der KU entstanden:Nein
Eingestellt am:06. Okt 2020 09:16
Letzte Änderung:06. Okt 2020 16:24
URL zu dieser Anzeige:http://edoc.ku-eichstaett.de/24990/