Scalable enterprise level workflow and infrastructure management in a grid computing environment

  • Authors:

  • Keyur Gor;Dheepak Ra;Shakeb Ali;Lech Alves;Neel Arurkar;Ira Gupta;Anirban Chakrabarti;Amit Sharma;Shubhashis Sengupta

  • Affiliations:

  • Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India;Software Eng. & Technol. Labs., Infosys Technol., Bangalore, India

  • Venue:
  • CCGRID '05 Proceedings of the Fifth IEEE International Symposium on Cluster Computing and the Grid (CCGrid'05) - Volume 2 - Volume 02
  • Year:
  • 2005

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Abstract

A grid is described as a distributed network which comprises of heterogeneous and non-dedicated elements. The heterogeneity of a grid is not only defined in terms of computing elements and operating systems but also in terms of implementation of policies, policy decisions and the environment. Currently, most grid solutions are targeted at the high performance community for e-sciences and hence are not adequate for enterprises. In this paper, we present an enterprise level workflow and grid management system called the unified grid management and data architecture (UGanDA) which takes care of most needs of enterprises and can be used in traditional e-sciences high performance community as well. It consists of two components: a grid workflow manager called GridWorM and a grid infrastructure manager called MAGI. The two independently deployable components orchestrate to provide the final goal. Representative results are discussed to prove the effectiveness of the system.