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MM
1994
ACM
90views Multimedia» more  MM 1994»
15 years 10 months ago
Scheduling Policies for an On-Demand Video Server with Batching
In an on-demand video server environment, clients make requests for movies to a centralized video server. Due to the stringent response time requirements, continuous delivery of a...
Asit Dan, Dinkar Sitaram, Perwez Shahabuddin
ICASSP
2009
IEEE
15 years 10 months ago
Optimized opportunistic multicast scheduling (OMS) over heterogeneous cellular networks
Optimized opportunistic multicast scheduling (OMS) has been studied previously by the authors for homogeneous cellular networks, where the problem of efficiently transmitting a co...
Tze-Ping Low, Man-On Pun, Yao-Win Peter Hong, C.-C...
WICON
2008
15 years 7 months ago
Exploiting parallel networks using dynamic channel scheduling
Many researchers have been focusing on the outcomes and consequences of the rapid increase and proliferation of mobile wireless technologies. If it is not already the case, it wil...
Lara B. Deek, Kevin C. Almeroth, Mike P. Wittie, K...
ISHPC
1997
Springer
15 years 10 months ago
Resource Management Methods for General Purpose Massively Parallel OS SSS-Core
We propose two resource management methods; a scheduling policy that re ects resource consumption states and a memory-replacement strategy based on page classi cation under distrib...
Yojiro Nobukuni, Takashi Matsumoto, Kei Hiraki
ICPP
2009
IEEE
16 years 28 days ago
Optimizing the Latency of Streaming Applications under Throughput and Reliability Constraints
In this paper, we deal with the problem of scheduling streaming applications on unreliable heterogeneous platforms. We use the realistic one-port model with full computation/commu...
Anne Benoit, Mourad Hakem, Yves Robert