Paper Info
Title
High Performance System Modeling And Performance Evaluation For Grid Computing
Abstract
This paper introduces a Quantization-based System Modeling (QSM) which performs reduction of data traffic requirements in grid computing. The QSM is based on a quantization of system state and provides a high performance grid computing. For realization of QSM in grid computing, this paper introduces how to perform data transmission reduction using quantization approach and suggests the more efficient concept and realization, e.g. quantization prediction. For a realization of the approach, we develop a state update transmission reduction component, e.g. quantization prediction component, which provides behavior and characteristic of a quantization prediction concept. A kinetics of spaceship is taken for a case study to evaluate performance. Empirical results, performing data traffic reduction and system execution time saving, apparently show system performance improvement through the quantization-based approach in grid computing.
Year
Venue
Keywords
2004
PDPTA '04: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED PROCESSING TECHNIQUES AND APPLICATIONS, VOLS 1-3
quantization-based system modeling, high performance grid computing, quantization prediction
Field
DocType
Citations 
Grid computing,Computer science,Systems modeling,Distributed computing
Conference
0
PageRank 
References 
Authors
0.34
1
1
Name
Order
Citations
PageRank
Jong Sik Lee17418.95