• 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