GridFlow: Workflow Management for Grid Computing. Grid computing is becoming a mainstream technology for large-scale distributed resource sharing and system integration. Workflow management is emerging as one of the most important grid services. In this work, a workflow management system for grid computing, called GridFlow, is presented, including a user portal and services of both global grid workflow management and local grid sub-workflow scheduling. Simulation, execution and monitoring functionalities are provided at the global grid level, which work on top of an existing agent-based grid resource management system. At each local grid, sub-workflow scheduling and conflict management are processed on top of an existing performance prediction based task scheduling system. A fuzzy timing technique is applied to address new challenges of workflow management in a cross-domain and highly dynamic grid environment. A case study is given and corresponding results indicate that local and global grid workflow management can coordinate with each other to optimise workflow execution time and solve conflicts of interest.

This software is also peer reviewed by journal TOMS.

References in zbMATH (referenced in 16 articles )

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  1. Cao, Jun-Wei; Zhang, Fan; Xu, Ke; Liu, Lian-Chen; Wu, Cheng: Formal verification of temporal properties for reduced overhead in grid scientific workflows (2011)
  2. Bittencourt, Luiz Fernando; Madeira, Edmundo R.M.: Towards the scheduling of multiple workflows on computational grids (2010) ioport
  3. Cao, Haijun; Jin, Hai; Wu, Xiaoxin; Wu, Song: ServiceFlow: QoS-based hybrid service-oriented grid workflow system (2010) ioport
  4. Chin, Sung Ho; Suh, Taeweon; Yu, Heon Chang: Adaptive service scheduling for workflow applications in Service-Oriented Grid (2010) ioport
  5. Wang, Lizhe; von Laszewski, Gregor; Kunze, Marcel; Tao, Jie; Dayal, Jai: Provide virtual distributed environments for grid computing on demand (2010)
  6. Wu, Yongwei; Yuan, Yulai; Yang, Guangwen; Zheng, Weimin: An adaptive task-level fault-tolerant approach to grid (2010) ioport
  7. Wu, Qishi; Zhu, Mengxia; Rao, Nageswara S.V.: Integration of sensing and computing in an intelligent decision support system for homeland security defense (2009) ioport
  8. Cao, Lei; Li, Minglu; Cao, Jian; Huang, Joshua: CNP-based implementation of service-oriented workflow mapping in SHGWMS (2008) ioport
  9. Li, Yaohang; Chen, Daniel; Yuan, Xiaohong: Trustworthy remote compiling services for grid-based scientific applications (2007) ioport
  10. Pugliese, Andrea; Talia, Domenico; Yahyapour, Ramin: Modeling and supporting grid scheduling (2007) ioport
  11. Emmerich, Wolfgang; Butchart, Ben; Chen, Liang; Wassermann, Bruno; Price, Sarah L.: Grid service orchestration using the business process execution language (BPEL) (2006) ioport
  12. Kacsuk, P├ęter; Sipos, Gergely: Multi-grid, multi-user workflows in the P-GRADE grid portal (2006) ioport
  13. Singh, Gurmeet; Kesselman, Carl; Deelman, Ewa: Optimizing grid-based workflow execution (2006) ioport
  14. Yan, Yonghong; Chapman, Barbara M.: Campus grids meet applications: Modeling, metascheduling and integration (2006) ioport
  15. Yan, Yonghong; Chapman, Barbara M.: Campus grids meet applications: Modeling, metascheduling and integration (2006)
  16. Yu, Jia; Buyya, Rajkumar: A taxonomy of workflow management systems for grid computing (2006) ioport