DocumentCode :
2967265
Title :
A Systematic Approach for Application Migration in a Grid Computing Environment
Author :
Chakrabarti, Anirban ; Sengupta, Shubhashis ; Upadhyay, Adarsh ; Damodaran, Anish
Author_Institution :
Software Eng. & Technol. Lab., Infosys Technol. Ltd., Bangalore
fYear :
2006
fDate :
Dec. 2006
Firstpage :
512
Lastpage :
519
Abstract :
Enterprises are looking at grid computing as a technology of enormous potential. One such issue is the issue of grid application migration, where legacy applications are migrated to the grid environment. The grid application migration framework (GAMF), is an attempt to provide a systematic approach for handling the migration process. The framework consists of three independently deployable components: grid code analyzer (GCA), grid task generator (GTG), and grid simulator (GS). The GCA component analyzes the different applications and generates a directed acyclic graph (DAG) based on the information obtained from analysis. The DAG is based on both static and runtime information available from application profiling. The DAG information is then analyzed and grid tasks are generated based on different DAG reducing and clustering algorithms. The simulator takes the generated DAG as input and provides and analyzes the application performance with respect to grid infrastructure and policies
Keywords :
directed graphs; grid computing; clustering algorithm; directed acyclic graph; grid application migration; grid code analyzer; grid computing; grid simulator; grid task generator; legacy application migration; Algorithm design and analysis; Analytical models; Application software; Clustering algorithms; Grid computing; Independent component analysis; Information analysis; Investments; Mesh generation; Performance analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Services Computing, 2006. APSCC '06. IEEE Asia-Pacific Conference on
Conference_Location :
Guangzhou, Guangdong
Print_ISBN :
0-7695-2751-5
Type :
conf
DOI :
10.1109/APSCC.2006.18
Filename :
4041281
Link To Document :
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