Chameleon: a resource scheduler in a data grid environment. Grid computing is moving into two ways. The Computational Grid focuses on reducing execution time of applications that require a great number of computer processing cycles. The Data Grid provides the way to solve large scale data management problems. Data intensive applications such as High Energy Physics and Bioinformatics require both Computational and Data Grid features. Job scheduling in Grid has been mostly discussed from the perspective of computational Grid. However, scheduling on Data Grid is just a recent focus of Grid computing activities. In Data Grid environment, effective scheduling mechanism considering both computational and data storage resources must be provided for large scale data intensive applications. In this paper, we describe new scheduling model that considers both amount of computational resources and data availability in Data Grid environment. We implemented a scheduler, called Chameleon, based on the proposed application scheduling model. Chameleon shows performance improvements in data intensive applications that require both large number of processors and data replication mechanisms. The results achieved from Chameleon are presented.

References in zbMATH (referenced in 8 articles )

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  1. Taheri, Javid; Lee, Young Choon; Zomaya, Albert Y.; Siegel, Howard Jay: A bee colony based optimization approach for simultaneous job scheduling and data replication in grid environments (2013)
  2. Yang, Chao-Tung; Fu, Chun-Pin; Hsu, Ching-Hsien: File replication, maintenance, and consistency management services in data grids (2010) ioport
  3. Yang, Chao-Tung; Leu, Fang-Yie; Chen, Sung-Yi: Network Bandwidth-aware job scheduling with dynamic information model for Grid resource brokers (2010) ioport
  4. Yang, Chao-Tung; Lai, Kuan-Chou; Shih, Po-Chi: Design and implementation of a workflow-based resource broker with information system on computational grids (2009) ioport
  5. Venugopal, Srikumar; Buyya, Rajkumar: An SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids (2008)
  6. McClatchey, Richard; Anjum, Ashiq; Stockinger, Heinz; Ali, Arshad; Willers, Ian; Thomas, Michael: Data intensive and network aware (DIANA) grid scheduling (2007) ioport
  7. Xie, Tao; Qin, Xiao: Security-driven scheduling for data-intensive applications on grids (2007) ioport
  8. Yang, Chao-Tung; Shih, Po-Chi; Lin, Cheng-Fang; Chen, Sung-Yi: A resource broker with an efficient network information model on grid environments (2007) ioport