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MPEGVIDEOTRAFFICMODELS:SEQUENTIALLY MODULATED SELFSIMILAR PROCESSES
 

Summary: MPEGVIDEOTRAFFICMODELS:SEQUENTIALLY
MODULATED SELF­SIMILAR PROCESSES
Hai Liu, Nirwan Ansari, and Yun Q. Shi
New Jersey Center for Wireless Telecommunications
Department of Electrical and Computer Engineering
New Jersey Institute of Technology
University Heights, Newark, NJ 07102, USA
Abstract 1 New traffic models are called for to facilitate the design of effective admission
and flow control algorithms, and network performance evaluation in accom­
modating video traffic. We propose a new approach, sequentially modulated
self­similar processes (SMSSPs), to model MPEG coded video traffic. SMSSPs
are shown to be able to capture both short range dependency (SRD) and long
range dependency (LRD) of the video traffic accurately. Traffic data are decom­
posed according to the MPEG data structure, into several parts, each modeled
as a self­similar process. These processes are then modulated sequentially in a
manner similar to how the frames are grouped into the GOP (Group of Pictures)
pattern.
Keywords: MPEG, modulated self­similar processes, video traffic modeling, long range
dependency, short range dependency.
1. INTRODUCTION

  

Source: Ansari, Nirwan - Department of Electrical and Computer Engineering, New Jersey Institute of Technology

 

Collections: Engineering