Abstract
Grid computing is a fast developing technology as an approach to do high performance scientific and engineering computation. The research work on Grid performance evaluation and modeling, an important supporting factor, is still immature and not considered inherently grid middleware design. In this paper, we proposed a scheduler oriented grid performance evaluation approach so that it closely cooperates with grid schedulers. A typical scenario of how the the grid performance modules interact with the scheduler is also introduced and analyzed. The advantage is that the grid scheduler is able to get more performance information about remote sites and hence improve the scheduling policy for grid jobs and ensure the quality of service to some extent.
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References
CrossGrid, http://www.cs.ucy.ac.cy/crossgrid/
GridBench, http://www2.cs.ucy.ac.cy/~georget/gridb/gridb.html
Biswas, R., Frumkin, M., Smith, W., der Wijngaart, R.V.: Tools and Techniques for Measuring and Improving Grid Performance. In: Das, S.K., Bhattacharya, S. (eds.) IWDC 2002. LNCS, vol. 2571, pp. 45–54. Springer, Heidelberg (2002)
der Wijngaart, R.F.V., Frumkin, M.: NAS Grid Benchmarks Version 1.0. Technical Report NAS-02-005, NASA Advanced Supercomputing Division (2002)
Quinson, M.: Dynamic Performance Forecasting for Network-Enabled Servers in a Metacomputing Environment. In: International Workshop on Performance Modeling, Evaluation, and Optimization of Parallel and Distributed Systems (April 2002)
Tierney, B., Aydt, R., Gunter, D., Smith, W., Swany, M., Taylor, V., Wolski, R.: A Grid Monitoring Architecture. Technical Report GWD-Perf-16-3, GGF Performance Working Group (2002)
Wolski, R., Spring, N.T., Hayes, J.: The Network Weather Service: A Distributed Resource Performance Forecasting Service for Metacomputing. Future Generation Copmuting systems, Metacomputing Issue 15(5-6), 757–768 (1999)
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© 2004 Springer-Verlag Berlin Heidelberg
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Peng, L., See, S. (2004). Scheduler Oriented Grid Performance Evaluation. In: Liew, KM., Shen, H., See, S., Cai, W., Fan, P., Horiguchi, S. (eds) Parallel and Distributed Computing: Applications and Technologies. PDCAT 2004. Lecture Notes in Computer Science, vol 3320. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30501-9_165
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DOI: https://doi.org/10.1007/978-3-540-30501-9_165
Publisher Name: Springer, Berlin, Heidelberg
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