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2007

Modeling and generating realistic streaming media server workloads

8 years 12 months ago
Modeling and generating realistic streaming media server workloads
Currently, Internet hosting centers and content distribution networks leverage statistical multiplexing to meet the performance requirements of a number of competing hosted network services. Developing efficient resource allocation mechanisms for such services requires an understanding of both the short-term and long-term behavior of client access patterns to these competing services. At the same time, streaming media services are becoming increasingly popular, presenting new challenges for designers of shared hosting services. These new challenges result from fundamentally new characteristics of streaming media relative to traditional web objects, principally different client access patterns and significantly larger computational and bandwidth overhead associated with a streaming request. To understand the characteristics of these new workloads we use two long-term traces of streaming media services to develop MediSyn, a publicly available streaming media workload generator. In sum...
Wenting Tang, Yun Fu, Ludmila Cherkasova, Amin Vah
Added 12 Dec 2010
Updated 12 Dec 2010
Type Journal
Year 2007
Where CN
Authors Wenting Tang, Yun Fu, Ludmila Cherkasova, Amin Vahdat
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