H. E. Bal, The distributed ASCI Supercomputer project, ACM SIGOPS Operating Systems Review, vol.34, issue.4, pp.76-96, 2000.
DOI : 10.1145/506106.506115

F. Berman, A. Hey, and G. Fox, Grid Computing: Making The Global Infrastructure a Reality, 2003.
DOI : 10.1002/0470867167

A. I. Bucur and D. H. Epema, Trace-based simulations of processor co-allocation policies in multiclusters, High Performance Distributed Computing, 2003. Proceedings. 12th IEEE International Symposium on, pp.70-79, 2003.
DOI : 10.1109/HPDC.2003.1210017

G. Chun, H. Dail, H. Casanova, and A. Snavely, Benchmark probes for grid assessment, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., 2004.
DOI : 10.1109/IPDPS.2004.1303355

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.198.4494

C. Ernemann, V. Hamscher, U. Schwiegelshohn, R. Yahyapour, and A. Streit, On Advantages of Grid Computing for Parallel Job Scheduling, 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid (CCGRID'02), pp.39-49, 2002.
DOI : 10.1109/CCGRID.2002.1017110

C. Ernemann, B. Song, and R. Yahyapour, Scaling of Workload Traces, LNCS, vol.2862, pp.166-182, 2003.
DOI : 10.1007/10968987_9

D. G. Feitelson and L. Rudolph, Metrics and benchmarking for parallel job scheduling
DOI : 10.1007/BFb0053978

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.133.5174

M. Frumkin and R. F. Wijngaart, NAS Grid Benchmarks: a tool for Grid space exploration, Proceedings 10th IEEE International Symposium on High Performance Distributed Computing, pp.247-255, 2002.
DOI : 10.1109/HPDC.2001.945199

H. Li, D. Groep, and L. Wolters, Workload Characteristics of a Multi-cluster Supercomputer, LNCS, vol.3277, pp.176-194, 2004.
DOI : 10.1007/11407522_10

H. Mohamed and D. Epema, Experiences with the KOALA co-allocating scheduler in multiclusters, CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005., 2005.
DOI : 10.1109/CCGRID.2005.1558642

W. Smith, V. Foster, and . Taylor, Predicting application run times with historical information, Journal of Parallel and Distributed Computing, vol.64, issue.9, pp.1007-1016, 2004.
DOI : 10.1016/j.jpdc.2004.06.008

A. Snavely, G. Chun, H. Casanova, R. F. Der-wijngaart, and M. A. Frumkin, Benchmarks for grid computing, ACM SIGMETRICS Performance Evaluation Review, vol.30, issue.4, pp.27-32, 2003.
DOI : 10.1145/773056.773062

G. Tsouloupas and M. D. Dikaiakos, GridBench: A Workbench for Grid Benchmarking
DOI : 10.1007/11508380_23

H. E. Kielmann and . Bal, Ibis: a flexible and efficient java-based grid programming environment. Concurrency & Computation: Practice & Experience, pp.1079-1107, 2005.

A. M. Weil, D. G. Feitelson16, ]. J. Yu, and R. Buyya, Utilization, predictability, workloads, and user runtime estimates in scheduling the IBM SP2 with backfilling A taxonomy of scientific workflow systems for grid computing, IEEE Trans. Parallel Distrib. Syst. ACM SIGMOD Rec, vol.1217, issue.343, pp.529-54344, 2001.

L. Peterson, T. Anderson, D. Culler, and T. Roscoe, A blueprint for introducing disruptive technology into the Internet, ACM SIGCOMM Computer Communication Review, vol.33, issue.1, 2002.
DOI : 10.1145/774763.774772

A. Bavier, Operating System Support for Planetary-Scale Services, Proceedings of the First Symposium on Network Systems Design and Implementation (NSDI), 2004.

G. Team, The Grid2003 Production Grid: Principles and Practice, 13th IEEE Intl. Symposium on High Performance Distributed Computing (HPDC-13, 2004.

I. Foster, C. Kesselman, and S. Tuecke, The Anatomy of the Grid, International Supercomputing Applications, 2001.
DOI : 10.1002/0470867167.ch6

I. Foster, C. Kesselman, J. Nick, and S. Tuecke, The Physiology of the Grid, 2002.
DOI : 10.1002/0470867167.ch8

. The-globus-alliance, WS GRAM: Developer's Guide

X. Zhang, J. Freschl, and J. M. Schopf, A Performance Study of Monitoring and Information Services for Distributed Systems [27] The Globus Alliance, Proceedings of HPDC-12 GT3 GRAM Tests Pages, 2003.

R. Wolski, Dynamically Forecasting Network Performance Using the Network Weather Service, Cluster Computing, vol.1, issue.1, pp.119-132, 1998.
DOI : 10.1023/A:1019025230054

R. Wolski, N. Spring, and J. Hayes, The network weather service: a distributed resource performance forecasting service for metacomputing, Future Generation Computer Systems, vol.15, issue.5-6, 1999.
DOI : 10.1016/S0167-739X(99)00025-4

C. Robert-simpson-jr, F. George, and . Riley, NETI@home: A Distributed Approach to Collecting Endto-End Network Performance Measurements, 2004.

C. Lee, R. Wolski, I. Foster, C. Kesselman, and J. Stepanek, A network performance tool for grid environments, Proceedings of the 1999 ACM/IEEE conference on Supercomputing (CDROM) , Supercomputing '99, 1999.
DOI : 10.1145/331532.331536

V. Paxson, J. Mahdavi, A. Adams, and M. Mathis, An architecture for large scale Internet measurement, IEEE Communications Magazine, vol.36, issue.8, pp.48-54, 1998.
DOI : 10.1109/35.707817

D. Gunter, B. Tierney, C. E. Tull, and V. Virmani, On-demand grid application tuning and debugging with the NetLogger activation service, Proceedings. First Latin American Web Congress, 2003.
DOI : 10.1109/GRID.2003.1261701

. Ch, J. Steigner, and . Wilke, Isolating Performance Bottlenecks in Network Applications, Proceedings of the International IPSI-2003 Conference, 2003.

G. Tsouloupas and M. Dikaiakos, GridBench: a tool for benchmarking grids, Proceedings. First Latin American Web Congress, 2003.
DOI : 10.1109/GRID.2003.1261699

P. Barford and M. Crovella, Measuring Web performance in the wide area. Performance Evaluation Review, Special Issue on Network Traffic Measurement and Workload Characterization, 1999.

G. Banga and P. Druschel, Measuring the capacity of a Web server under realistic loads, World Wide Web Journal (Special Issue on World Wide Web Characterization and Performance Evaluation), 1999.

N. Minar, A Survey of the NTP protocol, p.99, 1999.

K. Czajkowski, I. Foster, N. Karonis, C. Kesselman, S. Martin et al., A resource management architecture for metacomputing systems, p.98
DOI : 10.1007/BFb0053981

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.9166

D. G. Feitelson, L. Rudolph, U. Schwiegelshohn, K. C. Sevcik, and P. Wong, Theory and practice in parallel job scheduling, Proc. of the 3rd
DOI : 10.1007/3-540-63574-2_14

A. Iosup, D. H. Epema, C. Franke, A. Papaspyrou, L. Schley et al., On Grid Performance Evaluation Using Synthetic Workloads, The 12th Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP), held in conjunction with SIGMETRICS'06, 2006.
DOI : 10.1007/978-3-540-71035-6_12

URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.78.6700

A. Iosup, C. Dumitrescu, D. H. Epema, H. Li, and L. Wolters, How are Real Grids Used? The Analysis of Four Grid Traces and Its Implications, The 7th, IEEE/ACM International Conference on Grid Computing (Grid), 2006.

A. Pavlo, P. Couvares, R. Gietzel, A. Karp, I. D. Alderman et al., The NMI Build & Test Laboratory: Continuous Integration Framework for Distributed Computing Software, The 20th USENIX Large Installation System Administration Conference (LISA), 2006.

H. H. Mohamed and D. H. Epema, An evaluation of the close-to-files processor and data co-allocation policy in multiclusters, 2004 IEEE International Conference on Cluster Computing (IEEE Cat. No.04EX935), 2004.
DOI : 10.1109/CLUSTR.2004.1392626

H. H. Mohamed and D. H. Epema, Experiences with the KOALA co-allocating scheduler in multiclusters, CCGrid 2005. IEEE International Symposium on Cluster Computing and the Grid, 2005., pp.784-791, 2005.
DOI : 10.1109/CCGRID.2005.1558642