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 19 articles )

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  1. Kingsy Grace, R.; Manimegalai, R.: Dynamic replica placement and selection strategies in data grids -- a comprehensive survey (2014)
  2. Mansouri, Najme: Network and data location aware approach for simultaneous job scheduling and data replication in large-scale data grid environments (2014)
  3. 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)
  4. 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)
  5. Xu, PengZhi; Wu, YongWei; Huang, XiaoMeng; Yang, GuangWen; Zheng, WeiMin: Optimizing write operation on replica in data grid (2011)
  6. Shorfuzzaman, Mohammad; Graham, Peter; Eskicioglu, Rasit: Adaptive popularity-driven replica placement in hierarchical data grids (2010)
  7. Chang, Ruay-Shiung; Chang, Hui-Ping: A dynamic data replication strategy using access-weights in data grids (2008)
  8. Rahman, Rashedur M.; Alhajj, Reda; Barker, Ken: Replica selection strategies in data grid (2008)
  9. Venugopal, Srikumar; Buyya, Rajkumar: An SCP-based heuristic approach for scheduling distributed data-intensive applications on global grids (2008)
  10. Wu, Jan-Jan; Lin, Yi-Fang; Liu, Pangfeng: Optimal replica placement in hierarchical data grids with locality assurance (2008)
  11. Rahman, Massimo Erwin Rashedur M.; Barker, Ken; Alhajj, Reda: Replica placement strategies in data grid (2007)
  12. 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)
  13. 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)
  14. 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)
  15. Chen, Lei; Li, Sanli: Multi-level web cache model used in data grid application (2006)
  16. Desprez, Frédéric; Vernois, Antoine: Simultaneous scheduling of replication and computation for data-intensive applications on the grid (2006)
  17. 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)
  18. 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)
  19. Bell, William H.; Cameron, David G.; Capozza, Luigi; Millar, A.Paul; Stockinger, Kurt; Zini, Floriano: Simulation of dynamic grid replication strategies in OptorSim (2002)