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Author Gelenbe, Erol ♦ Shachnai, Hadas
Source CiteSeerX
Content type Text
File Format PDF
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Data processing & computer science
Subject Keyword Round-robin Mode ♦ Communication System Architecture ♦ Analytic Model ♦ Efficient Implementation ♦ Multimedia-ondemand Server ♦ Conventional Computer File System ♦ System Performance ♦ Distributed Client ♦ Novel Computer ♦ Resource Allocation ♦ Separate Queue ♦ Transmission Medium ♦ New Scheduling Scheme ♦ Video Document ♦ Multimedia Server System Multimedia Server ♦ Lrr Yield Significant Improvement ♦ Original Round-robin ♦ Approximate Representation ♦ High-speed Network ♦ Multimedia System ♦ Specific Document ♦ Strict Timin ♦ Local Roundrobin ♦ Resulting Performance Modeling Problem
Description Multimedia systems are gaining importance as novel computer and communication system architectures, which are specialized to the storage and transfer of video documents. Consider a multimedia-ondemand server who transmits video documents through a high-speed network, to geographically distributed clients. The server accumulates requests for specific documents in separate queues. The queues need to share the transmission medium in some fashion, typically in Round-Robin mode. We describe the resulting performance modeling problem, and develop an approximate representation using queuing networks. Our analytic model enables the efficient implementation of a new scheduling scheme, that we call the Local RoundRobin (LRR). We show that LRR yields significant improvement in system performance, compared to the original Round-Robin. 1 Introduction 1.1 The Multimedia Server System Multimedia servers are quite different from those of conventional computer file systems, due to their strict timin...
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research
Education Level UG and PG ♦ Career/Technical Study
Learning Resource Type Article
Publisher Date 1998-01-01
Publisher Institution in IEEE RIDE (Research in Data Engineering