. [. Bibliographie, W. Allen, T. Benger, H. Goodale, G. Hege et al., The cactus code: A problem solving environment for the grid Available at http: Il csdl. computer. org, Ninth IEEE International Symposium on High Performance Distributed Computing, 2000.

H. [. Arnold, J. Casanova, and . Dongarra, Innovations of the NetSolve Grid Computing System, Concurrency and Computation: Praetice and Experience, pp.1457-1479, 2002.
DOI : 10.1137/1.9780898719628

1. [. Amestoy, J. Duff, J. Koster, and . Excellent, A Fully Asynchronous Multifrontal Solver Using Distributed Dynamic Scheduling, SIAM Journal on Matrix Analysis and Applications, vol.23, issue.1, pp.15-41
DOI : 10.1137/S0895479899358194

URL : https://hal.archives-ouvertes.fr/hal-00808293

]. T. Aiv02 and . Aivazian, Available at http: Ilwww, Linux kernel 2.4 internaIs, 2002.

). J. All75 and . Allman, Np-complete scheduling problems, Journal of Computer and System Sciences, pp.434-439, 1975.

[. Aida, S. Matsuoka, A. Takefusa, U. Nagashimaand, and H. Nakada, A performance evaluation model for effective job scheduling in global computing systems, Proceedings. The Seventh International Symposium on High Performance Distributed Computing (Cat. No.98TB100244), p.35200, 1998.
DOI : 10.1109/HPDC.1998.710026

. K. Amt+oo, S. Aida, A. Matsuoka, S. Takefusa, H. Sekiguchi et al., A performance evaluation model for scheduling in global computing systems, NASA Workshop on Performance-Engineered Information Systems, 2000.

R. [. Abramson, J. Sosie, B. Giddy, and . Hall, Nimrod: a tool for performing parametrised simulations using distributed workstations, Proceedings of the Fourth IEEE International Symposium on High Performance Distributed Computing, 1995.
DOI : 10.1109/HPDC.1995.518701

A. Anglano, J. Schopf, R. Woiski, and F. Berman, Zoom: A hierarchical representation for heterogeneous applications, 1995.

]. S. Atiol and . Atlan, Mémoire de dea : Monitoring d'une plate-forme de métacomputing

. R. Bagoo, D. Buyya, J. Abramson, and . Giddy, An economy driven resource management architecture for global computational power grids, International Conference on ParaUel and Distributed Processing Techniques and Applications (PDPTA), 2000.

]. K. Bak74 and . Baker, Introduction to Sequencing and Scheduling, 1974.

]. T. Basmol, S. Braun, H. J. Ali, A. A. Siegel, and . Maciejewski, Using the minmin heuristic to map tasks onto heterogeneous high-performance computing systems, Proceedings of the 2nd Annual Los Alamos Computer Science Institute (LACSI)Symposium, 18200-10-15.

]. O. Bbrol, V. Beaumont, Y. Boudet, and . Robert, The iso-Ievel scheduling heuristic for heterogeneous processors

D. P. Bovet and M. Cesati, Understanding the Linux Kernel. o'Reilly, 2000.

M. [. Bovet and . Cesati, Understanding the Linux Kernel, 2002.

S. [. Bender, S. Chakrabarti, and . Muthukrishnan, Flow and stretch metrics for scheduling continuous job streams, SODA : A CM-SIAM Symposium on Discrete Algorithms, 1998.

J. [. Browne, S. 1. Dongarra, K. Hyder, P. Moore, and . Newton, Experiences with code and hence in visual programming for parallel computing, IEEE ParaUel and Distributed Technology, pp.75-83, 1994.

. R. Bgaoo, J. Buyya, D. Giddy, and . Abramson, An evaluation of eeonomy-based resource trading and scheduling on computational power grids for parameter sweep applications, Workshop on Active Middleware Services conjuction with Ninth IEEE International Symposium on High Performance Distributed Computing) in Pittsburgh, 2000.

H. [. Braun, N. Siegel, L. Beek, M. Bo16ni, A. 1. Maheswaran et al., A taxonomy for deseribing matching and scheduling heuristics for mixed-machine heterogeneous eomputing systems, Proceedings of the 17th IEEE Symposium on Reliable Distributed System, pp.330-335, 1998.

H. [. Braun, N. Siegel, L. Beek, M. Boloni, A. 1. Maheswaran et al., A comparison study of static mapping heuritsics for a c1ass of meta-tasks on heterogeneous computing systems, Proceedings of the 8th Heterogeneous Computing Workshop (HCW '99J, pp.15-29, 1999.

R. [. Berman and . Wolski, The apples project : A status report, Proceedings of the 8th NEC Research Symposium, 1997.

R. [. Berman, S. Wolski, J. Figueira, G. Schopf, and . Shao, Applicationlevel scheduling on distributed heterogeneous networks, Proceedings of Supercomputing '96, 1996.

N. [. Banawan and . Zeidat, A comparative study of load sharing in heterogeneous multicomputer systems, Proceedings. 25th Annual Simulation Symposium, pp.22-31, 1992.
DOI : 10.1109/SIMSYM.1992.227580

]. Y. Can02 and . Caniou, Ordonnancement pour le modèle temps partagé, Proceedings of WINTER SCHOOL Grid, 2002.

]. H. Casol and . Casanova, Simgrid: A toolkit for the simulation of application scheduling, Proceedings of the IEEE Symposium on Cluster Computing and the Grid (CCGrid'OlJ, 2001.

J. [. Casanova and . Dongarra, NetSolve, Proceedings of the 1996 ACM/IEEE conference on Supercomputing (CDROM) , Supercomputing '96, 1996.
DOI : 10.1145/369028.369111

F. [. Caron and . Desprez, Diet, tour d'horizon, Ècole thématique sur la Globalisation des Ressources Informatiques et des Données: Utilisation et Services, pp.21-25, 2004.
URL : https://hal.archives-ouvertes.fr/hal-01431493

A. Caron, F. Desprez, E. Fleury, F. Lombard, J. Nicod et al., Calcul réparti à grande échelle, chapter Une approche hiérarchique des serveurs de calculs, Hermès Science Paris, 2002.

S. [. Capello, G. Djilali, T. Fedak, F. Herault, V. Magniette et al., Computing on large scale distributed systems: Xtremweb architecture , programming models, security, tests and convergence with grid From Heterogeneous Task Scheduling to Heterogeneous Mixed Parallel Scheduling Resource co-allocation in computational grids, Future Generation Computer Systems Proceedings of Euro-ParCFK99] K. Czajkowski, 1. Foster, and C. Kesselman Proceedings of the Eighth IEEE International Symposium Bibliographie on High Performance Distributed Computing (HPDC-8). [CJ03] y. Caniou and E. Jeannot. ew dynamic heuristics in the cIient-agent-server mode!. In IEEE 13th Heteregeneous Computing Workshop -HCW'03, pp.219-228, 1999.

]. Y. Cj04a, E. Caniou, and . Jeannot, Efficient scheduling heuristics for gridrpc systems, IEEE QOS and Dynamic System workshop (QDS) of International Conference on ParaUel and Distributed Systems (ICPADS), 2004.

]. Y. Cj04b, E. Caniou, and . Jeannot, Experimental study of multi-criteria scheduling heuristics for gridrpc systems, In ACM, pp.31-34, 2004.

. H. Clzboo, A. Casanova, D. Legrand, F. Zagorodnov, and . Berman, Heuristics for scheduling parameter sweep applications in grid environments, Proceedings of the 9th Heterogeneous Computing Workshop, pp.349-363, 2000.

L. [. Casanova and !. Marcha, A network model for simulation of grid application, 2002.
URL : https://hal.archives-ouvertes.fr/inria-00071989

. H. Cobwoo, G. Casanova, F. Obertelli, R. Berman, and . Wolski, The apples parameter sweep template : User-Ievel middleware for the grid, Proceedings of the Super Computing Conference, 2000.

H. [. Dail, F. Casanova, and . Berman, A Decoupled Scheduling Approach for the GrADS Program Development Environment, ACM/IEEE SC 2002 Conference (SC'02), 2002.
DOI : 10.1109/SC.2002.10009

L. [. Dutot, G. Eyraud, D. Mounier, and . Trystram, Bi-criteria algorithm for scheduling jobs on cluster platforms, Proceedings of the sixteenth annual ACM symposium on Parallelism in algorithms and architectures , SPAA '04, 2004.
DOI : 10.1145/1007912.1007932

URL : https://hal.archives-ouvertes.fr/hal-00001520

]. F. Djol, E. Desprez, and . Jeannot, Adding data persistence and reddistribution to netsolve

P. [. Dongarra, A. Luszczek, and . Petitet, The LINPACK Benchmark: past, present and future, Concurrency and Computation : Pratice and Experience, 2003.
DOI : 10.1002/(SICI)1096-9128(199704)9:4<255::AID-CPE250>3.0.CO;2-2

]. M. Doa96 and . Doar, A better model for generating test networks, Proceedings of Globecom '96, 1996.

F. Desprez and F. Suter, Impact of Mixed-Parallelism on Parallel Implementations of Strassen and Winograd Matrix Multiplication Aigorithms. Concurrency and Computation :Practice and Experience, pp.771-797, 2004.

F. A. Da-silva, S. Carvalho, and E. R. Hruschka, A Scheduling Algorithm for Running Bag-of-Tasks Data Mining Applications on the Grid, Proceedings of the ACM, 2004.
DOI : 10.1007/978-3-540-27866-5_33

E. De-souza-e-silva and M. Gerla, Queueing network models for load balancing in distributed systems, Journal of Parallel and Distributed Computing, vol.12, issue.1, pp.24-38, 1991.
DOI : 10.1016/0743-7315(91)90026-6

C. Ernemann, V. Hamscher, U. Schwiegelshohn, A. Streit, and R. Yahyapour, Enhanced Algorithms for Multi-site Scheduling, Proceedings of the 3rd International Workshop on Grid Computing, 2002.
DOI : 10.1007/3-540-36133-2_20

D. H. Epema, M. Livny, R. Van-dantzig, X. Evers, and J. Pruyne, lia worldwide flock of condors: Load sharing among workstation clusters, In Journal on Future Generations of Computer Systems, vol.12, 1996.

M. Essaïdi, Échange de données pour le parallélisme à gros grain, 2004.

D. G. Feitelson, Scheduling parallel jobs on clusters, High Performance Cluster Computing, pp.549-533, 1999.

D. G. Feitelson, Workload Modeling for Performance Evaluation, Performance Evaluation of Complex Systems: Techniques and Tools, pp.114-141, 2002.
DOI : 10.1007/3-540-45798-4_6

M. Faloutsos, P. Faloutsos, and C. Faloutsos, On power-Iaw reltionships of the internet topology, SIGCOMM, pp.251-262, 1999.

R. F. Freund, M. Gherrity, S. Ambrosius, M. Campbell, M. Halderman et al., Scheduling resources in multi-user, heterogeneous, computing environments with SmartNet, Proceedings Seventh Heterogeneous Computing Workshop (HCW'98), 1998.
DOI : 10.1109/HCW.1998.666558

S. Figueira, Modeling the effects of Contention on Application Performance, 1997.

C. Foster and . Kesselman, Globus: a Metacomputing Infrastructure Toolkit, The International Journal of Supercomputer Applications and High Performance Computing, vol.10, issue.2
DOI : 10.1109/ICPPW.1996.538587

C. Foster and . Kesselman, The globus project : A progress report, Heteregeneous Computing Workshop, 1999.

C. Foster, J. Kesselman, and S. Tuecke, The Physiology of the Grid, Open Grid Service Infrastructure WG, Global Grid Forum, 2002.
DOI : 10.1002/0470867167.ch8

C. Foster, S. Kesselman, and . Tuecke, The Anatomy of the Grid, In International Journal of Supercomputer A pplications, vol.15, issue.3, 2001.
DOI : 10.1002/0470867167.ch6

V. [. Floyd and . Paxson, Why we don't know how to simulate the internet, 1999.

]. S. Fpol, V. Floyd, and . Paxson, Difficulties in simulating the internet, IEEE/A CM Transactions on Networking, 2001.

L. [. Feitelson and . Rudolph, Metrics and benchmarking for parallel job scheduling, Job Scheduling Strategies for ParaUel Processing, pp.1-24, 1998.
DOI : 10.1007/BFb0053978

R. [. Geer, P. Bace, P. Gutmann, C. Mtezger, J. Pfleeger et al., Cyberinsecurity : The cost of monopoly, 2003.

. M. Ggoo, J. Good, and . Goux, imw: A web-based problem solving environment for grid computing applications, 2000.

D. [. Garey and . Johnson, Computers and intractability : A guide to the theory of np-completeness, 1979.

P. [. Graham, M. Kessler, and . Mckusick, gprof: A call graph execution profiler, Proceedings of the SIGPLAN '82 Symposium on Compiler Construction, pp.120-126, 1982.

E. [. Gropp, N. Lusk, A. Doss, and . Skjellum, A high-performance, portable implementation of the MPI message passing interface standard, Parallel Computing, vol.22, issue.6, pp.789-828, 1996.
DOI : 10.1016/0167-8191(96)00024-5

K. [. Galtier, Y. Mills, and . Carlinet, Modeling CPU demand in heterogeneous active networks, Proceedings DARPA Active Networks Conference and Exposition, pp.511-534, 1564.
DOI : 10.1109/DANCE.2002.1003517

URL : https://hal.archives-ouvertes.fr/inria-00100749

A. [. Guirado, C. Ripoll, E. Roig, and . Luque, Performance prediction using an application-oriented mapping too!, 12th Euromicro Conference on ParaUel, Distributed and Network-Based Processing, p.18400, 2004.

L. Gong, X. H. Sun, and E. F. Watson, Performance modeling and prediction of non-dedicated network computing, pp.1041-1055, 2002.

J. [. Galassi and . Theiler, The gnu standard library, 1996.

W. [. Grimshaw and . Wulf, The Legion vision of a worldwide virtual computer, Communications of the ACM, vol.40, issue.1, pp.39-45, 1997.
DOI : 10.1145/242857.242867

. B. Gwtoo, R. Gaidioz, B. Wolski, and . Tourancheau, Synchronizing network probes to avoid measurement intrusiveness with the network weather service, The 9th IEEE High-performance Distributed Computing Conference, pp.147-154, 2000.

F. [. Golconda, A. Ozgüner, and . Dogan, A comparison of static qos-based scheduling heuristics for a meta-task with multiple qos dimensions in heterogeneous computing, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., 2004.
DOI : 10.1109/IPDPS.2004.1303054

. T. Hafoo, E. Haupt, G. Akarsu, and . Fox, Webflow : a framework for web based metacomputing, Future Generation Computer Systems, pp.445-451, 2000.

A. [. Harchol-balter and . Downey, Exploiting process lifetime distributions for dynamic load balancing, ACM Transactions on Computer Systems, vol.15, issue.3, pp.253-285, 1997.
DOI : 10.1145/263326.263344

. M. Hnk+oo, A. Haldar, A. Nayak, P. Kanhere, N. Joisha et al., Match virtual machine : An adaptive runtime system to execute matlab in parallel, International Conference on ParaUel Processing, p.0, 2000.

]. X. Hsvl03, X. He, G. Sun, and . Von-laszewski, Qos guided min-min heuristic for grid task scheduling, In Journal of Computer Science and Technology, Grid computing, vol.18, issue.4, pp.442-451, 2003.

D. [. Hall, J. Shmoys, and . Wein, Scheduling to Minimize Average Completion Time: Off-Line and On-Line Approximation Algorithms, Proceedings of the seventh annual A CM-SIAM symposium on Discrete algorithms, pp.142-151, 1996.
DOI : 10.1287/moor.22.3.513

]. M. Hum03 and . Humphrey, From legion to legion-g to ogsi.net : Object-based computing for grids, Next Generation Software Workshop in the 17th IEEE International ParaUel and Distributed Processing Symposium (IPDPS2003), 2003.

. Bibliographie, MPICH-V : MPI implementation for Volatile Resources

]. M. Iverson and F. Ozgüner, Dynamic, competitive scheduling of multiple dags in a distributed heterogeneous environ ment, Proceedings of the 7th Heteregeneous Computing Workshop (HCW98), 1098.

[. Jongh, Share Scheduling in Distributed Systems, 2002.

F. [. Jeannot and . Wagner, Two fast and efficient message scheduling algorithms for data redistribution through a backbone, 18th International Parallel and Distributed Processing Symposium, 2004. Proceedings., 2004.
DOI : 10.1109/IPDPS.2004.1302902

URL : https://hal.archives-ouvertes.fr/inria-00099979

K. Krauter, R. Buyya, and M. Mashewaran, A taxonomy and survey of grid resource management systems for distributed computing Sorne problems in the theory of queues, Software- Practice and Experience, pp.1-7, 1951.

J. [. Kapadia, J. Robertson, and . Fortes, Interfaces issues in running computer architecture tools via the world wide web, Proceedings of Workshop on Computer Architecture Education at ISCA, 1998.

B. [. Keller, M. S. Krammer, M. M. Mueller, E. Resch, and . Gabriel, Mpi development tools and applications for the grid, Workshop on Grid Applications and Programming Tools, 2003.

]. M. Kra99 and . Krajecki, An object oriented environment to manage the parallelism of the fiit applications, ParaUel Computing Technologies, 5th International Conference, PaCT-99, pp.229-234, 1999.

B. [. Karonis, MPICH-G2: A Grid-enabled implementation of the Message Passing Interface, Journal of Parallel and Distributed Computing, vol.63, issue.5, pp.551-563, 2003.
DOI : 10.1016/S0743-7315(03)00002-9

). Kwo97, H. Kwok, and H. Kong, High-Performance Algorithms for Compile-Time Scheduling of ParaUel Processors, 1997.

J. Lee, R. S. Dongarra, and . Ramakrishna, visPerf: Monitoring Tool for Grid Computing, Submitted to the Workshop on Grid Computing, 2002.
DOI : 10.1007/3-540-44863-2_24

A. Legrand, Algorithmique parallèle hétérogène et techniques d'ordonnancement : approches statiques et dynamiques, 2003.

U. Lang and R. Schreimer, Developing secure distributed systems with corba, 2002.

B. Lee and J. M. Schopf, Run-time prediction of parallei applications on shared environments, Prceedings of Cluster'03, 2003.

C. Lee, R. Woiski, I. Foster, C. Kesselman, and J. Stepanek, A network performance tool for grid computations, Supercomputing '99, 1999.

M. Maheswaran, S. Ali, H. J. Siegel, D. Hengsen, and R. F. Freund, Dynamic Mapping of a Class of Independent Tasks onto Heterogeneous Computing Systems, Special Issue on Software Support for Distributed Computing, 1999.
DOI : 10.1006/jpdc.1999.1581

M. Murshed, R. Buyya, and D. A. Abramson, Gridsim: A toolkit for the modeling and simulation of global grids, 0200.

M. Maheswaran, T. D. Braun, and H. J. Siegel, Heterogeneous distributed computing. Encyclopedia of Electrical and Electronics Engineering, pp.679-690, 1999.

M. L. Massie, B. N. Chun, and D. E. Culler, The ganglia distributed monitoring system: design, implementation, and experience, Parallel Computing, vol.30, issue.7, 2004.
DOI : 10.1016/j.parco.2004.04.001

M. Mutka and M. Livny, The available capacity of a privately owned workstation environment, Proceedings of the 12th IFIP WG 7.3 Symposium on Computer Performance, 1991.
DOI : 10.1016/0166-5316(91)90005-N

I. Molnar, Goals, design and implementation of the new ultra-scalable 0(1) scheduler. in kernel archive: linux-2.6

T. Monteil and P. Pascal, Influence of deterministic customers in the time sharing scheduler, LAAS, 2002.

A. Malony, D. Reed, and H. Wijshoff, Performance measurement intrusion and perturbation analysis, IEEE Transactions on Parallel and Distributed Systems, 1992.
DOI : 10.1109/71.149962

M. O. Neary, S. P. Brydon, P. Kmiec, S. Rollins, and P. Cappello, Javelin++, Proceedings of the ACM 1999 conference on Java Grande , JAVA '99, pp.727-753, 2000.
DOI : 10.1145/304065.304120

. Zs, G. Émeth, Z. Gombas, and . Balaton, Performance evaluation on grids : Directions, issues, and open problems, Proceedings of the Euromicro PDP 2004, pp.290-297, 2004.

A. Gridrpc-model, A. For, and E. Applications, Available at https: / /forge. gridforum. org/projects/gridrpc-wg, 2003.

M. O. Neary, A. Phipps, S. Richman, and P. Cappello, Javelin 2.0 : Javabased parallel computing on the internet, Proceedings of Euro-Par, 2000.

. Zs, V. Németh, and . Sunderam, Characterizing Grids : Attributes, Definitions, and Formalisms, pp.9-23, 2003.

H. Nakada, M. Sato, and S. Sekiguchi, Design and implementations of Ninf: towards a global computing infrastructure, Future Generation Computer Systems, vol.15, issue.5-6, pp.649-658, 1999.
DOI : 10.1016/S0167-739X(99)00016-3

. Ourgrid, Homepage available at http://www . ourgrid. org

L. Philippe, Gridrpc: Normalisation des api d'accès aux applications de grilles, 21-25 juin, 2004.

. Planetlab, An open platform for developing, deploying, and accessing planetary-scale services

. Personal-power and . Plant, Homepage at http://www.shudo.net

M. Quinson, Dynamic performance forecasting for network-enabled servers in a metacomputing environment, Proceedings 16th International Parallel and Distributed Processing Symposium, pp.115-134, 2002.
DOI : 10.1109/IPDPS.2002.1016679

M. Quinson, Découverte automatique des caractéristiques et capacités d'une plate-forme de calcul distribué [Ram96] S. Ramaswany. Simultaneous Exploitation of Task and Data Parallelism in Regular Scientific Applications, 1996.

]. D. Ree94 and . Reed, Experimental performance analysis of parallel systems: Techniques and open problems, Proceedings of the 7th International Conference on Modeling Techniques and Toois for Computer Performance Evaluation, pp.25-51, 1994.

S. [. Siegel and . Ali, Techniques for mapping tasks to machines in heterogeneous computing systems, Invited Keynote Paper for the Journal of Systems Architecture, Special Issus on Heterogeneous Distributed and Parallel Architectures: Hardware, Software and Design Tools, 1999.
DOI : 10.1016/S1383-7621(99)00033-8

F. [. Shao, R. Berman, and . Wolski, Using effective network views to promote distributed application performance, International Conference on Parallel and Distributed Processing Techniques and Applications, 1999.

. Slj+oo, . Song, . Liu, . Jakobsen, . Bhagwan et al., The microgrid : a scientific tool for modeling computational grids, Scientific Programming, pp.127-141, 2000.

D. [. Smirni and . Reed, Workload characterization of input/output intensive parallel applications, Proceedings of the Ninth International Conference on Modeling Techniques and Toois for Computer Performance Evaluation, 1997.
DOI : 10.1007/BFb0022205

J. [. Sato, T. Slingo, H. D. Yukutake, and . Simon, The Earth Simulator Center, Japan Agency for Marine-Earth Science and Technology

]. J. Sti85 and . Stidham, Optimal control of admission to a queueing system, In IEEE Trans. on Automatic Control, vol.30, issue.8, pp.705-713, 1985.

[. Sun and M. Wu, Grid harvest service : A system for long-term, application-Ievel task scheduling, Proceedings of the International Parallel and Distributed Processing Symposium, pp.22-26, 2003.

]. A. Takol and . Takefusa, Bricks: A performance evaluation system for scheduling algorithms on the grids, JSPS Workshop on Applied Information Technology for Science, 2001.

]. E. Bibliographie-[-tai91 and . Talbi, Une taxonomie des algorithmes d'allocation dynamique de processus dans les systèmes parallèles et distribués, 1991.

]. A. Tan92 and . Tanenbaum, Modern operating system, 1992.

S. [. Takefusa, H. Matsuoka, F. Casanova, and . Berman, A study of deadline scheduling for client-server systems on the Computational Grid, Proceedings 10th IEEE International Symposium on High Performance Distributed Computing, 2001.
DOI : 10.1109/HPDC.2001.945208

T. [. Thain, M. Tannenbaum, and . Livny, chapter Condor and the Grid, 2003.

X. [. Taylor, R. Wu, and . Stevens, Prophesy, ACM SIGMETRICS Performance Evaluation Review, vol.30, issue.4, pp.13-18, 2003.
DOI : 10.1145/773056.773060

. Vam and . Vampire, Vampire 2.0, visualization and analysis of mpi programs

R. [. Vraalsen, C. L. Aydt, D. A. Mendes, and . Reed, Performance Contracts: Predicting and Monitoring Grid Application Behavior, 2nd International Workshop on Grid Computing, pp.154-165
DOI : 10.1007/3-540-45644-9_15

. J. Vroo, D. A. Vetter, and . Reed, Real-time performance monitoring, adaptive control and interactives steering of computational grids, The International Journal of High Performance Computing Applications, pp.257-366, 2000.

J. [. Vazhkudai, Schopf, and 1. Foster. Predicting the performance of wide area data transfers, Proceedings of the 16th International ParaUel and Distributed Processing Symposium, 2002.

]. J. Wei96 and . Weissman, The interference paradigm for network job scheduling, Proceedings of the 10th International ParaUel and Distributed Processing Symposium , HCW, 1996.

. T. Wm85-]-y, R. J. Wang, and . Morris, Load sharing in distributed systems, IEEE Transactions on Computers, pp.204-217, 1985.

]. J. Wsü1, P. Weissman, and . Srinivasan, Ensemble scheduling : Resource coallocation on the computational grid, 2nd International Workshop on Grid Computing, Grid'Ol, 2001.

N. [. Wolski, J. Spring, and . Hayes, The network weather service: a distributed resource performance forecasting service for metacomputing, Future Generation Computer Systems, vol.15, issue.5-6, pp.5-6757, 1999.
DOI : 10.1016/S0167-739X(99)00025-4

X. [. Weissman and . Zhao, Run-time support for scheduling parallel applications in heterogeneous NOWs, Proceedings. The Sixth IEEE International Symposium on High Performance Distributed Computing (Cat. No.97TB100183), 1997.
DOI : 10.1109/HPDC.1997.626442

H. [. Xia, H. Dail, A. Casanova, and . Chien, The microgrid : Using emulation to predict application performance in diverse grid network environments, Proceedings of the Workshop on Challenges of Large Applications in Distributed Environments (CLADE'04), held in conjunetion with the Thirteenth IEEE International Symposium on High-Performance Distributed Computing, 2004.

J. M. Foster and . Schopf, Homeostatic and tendency-based cpu load predictions, Proceedings of the 17th International Parallel and Distributed Processing Symposium, IPDPS'03, 2003.