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Migration de processus dans les systemes massivement paralleles

Abstract : This thesis discusses process migration in massively parallel systems. This capability is useful to manage efficiently the resources in a system. The issues that we deal with are the migration transparency, the minimisation of the migration overheads and the suitableness of migration algorithms to the scalability of the machine architecture. To migrate a process a set of operations must be performed: freezing the process, transferring its state to the new processor and restarting the process execution. The interaction between the migrated process and other entities in the system must also be handled in order to insure correctness. For these operations we have proposed new migration algorithms which fulfil the requirements above. Our algorithms have been implemented in the ParX Kernel. The performance measurements show that supporting process migration in a massively parallel system do not inquire significant penalties in performance of the system. Besides, we have proposed a load balancing algorithm which uses the process migration facility. Compared to an algorithm relying only on the placement of the processes, the experiments carried out show that thanks to the process migration facility our algorithm offers a potential benefit when the processes execution and inter arrival times are both variable and the overhead to migrate a process is negligible compared to its execution time.
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Submitted on : Friday, October 14, 2005 - 11:02:43 AM
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  • HAL Id : tel-00010629, version 1




Ahmed Elleuch. Migration de processus dans les systemes massivement paralleles. Réseaux et télécommunications [cs.NI]. Institut National Polytechnique de Grenoble - INPG, 1994. Français. ⟨tel-00010629⟩



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