References

• 1. 1)
     • B. Nitzberg , J. Schopf . Current activities in the scheduling and resource management area of the global Grid forum. Lect. Notes Comput. Sci.
  2. 2)
     • Thomas, N., Bradley, J.T.: `Decomposing models of parallel queues', Proc. 4th Int. Workshop on Queueing Networks with Finite Capacity, 2000.
  3. 3)
     • K.D.M. Haji , I. Gourlay , P. Dew . A SNAP-based community resource broker using a three-phase commit protocol: a performance study. Comput. J.
  4. 4)
     • Schopf, J.M.: ‘A general architecture for scheduling on the Grid’, Preprint ANL/MCS-P1000-1002, Argonne National Laboratory, 2002.
  5. 5)
     • S. Martin , I. Mitrani . Optimal scheduling among intermittently unavailable servers. Int. J. Simul.
  6. 6)
     • Dingle, N.J., Knottenbelt, W.J., Harrison, P.G.: `HYDRA: HYpergraph-based Distributed Response-time Analyser', Proc. 2003 Int. Conf. on Parallel and Distributed Processing Techniques and Applications, Las Vegas, NV, USA, 2003, 1, p. 215–219.
  7. 7)
     • C.M. Woodside , J.E. Neilson , D.C. Petriu , S. Majumdar . The stochastic rendezvous network model for performance of synchronous client-server-like distributed software. IEEE Trans. Comput. , 1 , 20 - 34
  8. 8)
     • Argent-Katwala, A., Bradley, J.T., Dingle, N.J.: `Expressing performance requirements using regular expressions to specify stochastic probes over process algebra models', Proc. 4th Int. Workshop on Software and Performance (WOSP), Redwood City, CA, USA, 2004, p. 49–58.
  9. 9)
     • Berman, F., Wolski, R.: `The AppLeS project: A status report', Proc. 8th NEC Research Symp., Berlin, Germany, 1997.
  10. 10)
      • D.P. Spooner , S.A. Jarvis , J. Cao , S. Saini , G.R. Nudd . Local grid scheduling techniques using performance prediction. IEE Proc. Comput. Digit. Tech. , 2 , 87 - 96
  11. 11)
      • I. Mitrani , P.E. Wright . Routing in the presence of breakdowns. Perform. Eval. , 151 - 164
  12. 12)
      • J. Cao , S.A. Jarvis , S. Saini . ARMS: An agent-based resource management system for Grid computing. Sci. Program. , 2 , 135 - 148
  13. 13)
      • Frey, J., Tannenbaum, T., Foster, I., Livny, M., Tuecke, S.: `Condor-G: A computation management agent for multi-institutional Grids', Proc. 10th IEEE Symp. on High-Performance Computing, San Francisco, CA, USA, 2001.
  14. 14)
      • Thomas, N.: `The effect of information latency on performance', Proc. 19th UK Performance Engineering Workshop, University of Warwick, 2003.
  15. 15)
      • G. Clark , S.T. Gilmore , J. Hillston , N. Thomas . Experiences with the PEPA workbench modelling tools. IEE Proc. – Softw. , 1 , 11 - 19
  16. 16)
      • Buyya, R., Abramson, J., Giddy, J.: `Nimrod/G: An architecture for a resource management and scheduling system in a global computational Grid', 4th IEEE Conf. on High-Performance Computing in the Asia-Pacific Region, China, 2000.
  17. 17)
      • N. Thomas , I. Mitrani . (1995) Routing among different nodes where servers break down without losing jobs, Quantitative methods in parallel systems.
  18. 18)
      • Bradley, J.T., Dingle, N.J., Gilmore, S.T., Knottenbelt, W.J.: `Derivation of passage-time densities in PEPA models using ipc: the Imperial PEPA Compiler', Proc. 11th IEEE/ACM Int. Symp. on Modeling, Analysis and Simulation of Computer and Telecommunications Systems (MASCOTS), 2003, University of Central Florida, Florida, USA, p. 344–351.
  19. 19)
      • Fitzgerald, S., Foster, I., Kesselman, C., von Laszewski, G., Smith, W., Tuecke, S.: `A directory service for configuring high-performance distributed computations', Proc. 6th IEEE Symp. on High-Performance Computing, 1997, p. 365–375.