OptorSim

Simulation of dynamic grid replication strategies in OptorSim. Computational Grids normally deal with large computationally intensive problems on small data sets. In contrast, Data Grids mostly deal with large computational problems that in turn require evaluating and mining large amounts of data. Replication is regarded as one of the major optimisation techniques for providing fast data access. par Within this paper, several replication algorithms are studied. This is achieved using the Grid simulator: OptorSim. OptorSim provides a modular framework within which optimisation strategies can be studied under different Grid configurations. The goal is to explore the stability and transient behaviour of selected optimisation techniques.


References in zbMATH (referenced in 21 articles )

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  1. Eng, KaiLun; Muhammed, Abdullah; Mohamed, Mohamad Afendee; Hasan, Sazlinah: A hybrid heuristic of variable neighbourhood descent and great deluge algorithm for efficient task scheduling in grid computing (2020)
  2. Póvoa, Marcelo G.; Xavier, Eduardo C.: Approximation algorithms and heuristics for task scheduling in data-intensive distributed systems (2018)
  3. Kingsy Grace, R.; Manimegalai, R.: Dynamic replica placement and selection strategies in data grids -- a comprehensive survey (2014) ioport
  4. Mansouri, Najme: Network and data location aware approach for simultaneous job scheduling and data replication in large-scale data grid environments (2014) ioport
  5. 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)
  6. Al-Khateeb, Asef; Rashid, Nur’Aini Abdul; Abdullah, Rosni: An enhanced meta-scheduling system for grid computing that considers the job type and priority (2012) ioport
  7. Xu, PengZhi; Wu, YongWei; Huang, XiaoMeng; Yang, GuangWen; Zheng, WeiMin: Optimizing write operation on replica in data grid (2011) ioport
  8. Shorfuzzaman, Mohammad; Graham, Peter; Eskicioglu, Rasit: Adaptive popularity-driven replica placement in hierarchical data grids (2010) ioport
  9. Chang, Ruay-Shiung; Chang, Hui-Ping: A dynamic data replication strategy using access-weights in data grids (2008) ioport
  10. Rahman, Rashedur M.; Alhajj, Reda; Barker, Ken: Replica selection strategies in data grid (2008)
  11. Venugopal, Srikumar; Buyya, Rajkumar: An SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids (2008)
  12. Wu, Jan-Jan; Lin, Yi-Fang; Liu, Pangfeng: Optimal replica placement in hierarchical data grids with locality assurance (2008) ioport
  13. Rahman, Massimo Erwin Rashedur M.; Barker, Ken; Alhajj, Reda: Replica placement strategies in data grid (2007) ioport
  14. Ardaiz, Oscar; Artigas, Pau; Eymann, Torsten; Freitag, Felix; Navarro, Leandro; Reinicke, Michael: The catallaxy approach for decentralized economic-based allocation in grid resource and service markets (2006) ioport
  15. Ardaiz, Oscar; Artigas, Pau; Eymann, Torsten; Freitag, Felix; Navarro, Leandro; Reinicke, Michael: The catallaxy approach for decentralized economic-based allocation in grid resource and service markets (2006) ioport
  16. Cameron, D. G.; Carvajal-Schiaffino, R.; Nicholson, C.; Stockinger, K.; Zini, F.; Millar, A. P.; Serafini, L.: Formal analysis of an agent-based optimisation strategy for data grids (2006)
  17. Chen, Lei; Li, Sanli: Multi-level web cache model used in data grid application (2006)
  18. Desprez, Frédéric; Vernois, Antoine: Simultaneous scheduling of replication and computation for data-intensive applications on the grid (2006) ioport
  19. Cameron, D. G.; Millar, A. P.; Nicholson, C.; Carvajal-Schiaffino, R.; Stockinger, K.; Zini, F.: Analysis of scheduling and replica optimisation strategies for data grids using optorSim (2004) ioport
  20. Cameron, D. G.; Millar, A. P.; Nicholson, C.; Carvajal-Schiaffino, R.; Stockinger, K.; Zini, F.: Analysis of scheduling and replica optimisation strategies for data grids using OptorSim (2004) ioport

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