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A two-step optimization technique for functions placement, partitioning, and priority assignment in distributed systems

Abstract : Modern development methodologies from the industry and the academia for complex real-time systems define a stage in which application functions are deployed onto an execution platform. The deployment consists of the placement of functions on a distributed network of nodes, the partitioning of functions in tasks and the scheduling of tasks and messages. None of the existing optimization techniques deal with the three stages of the deployment problem at the same time. In this paper, we present a staged approach towards the efficient deployment of real-time functions based on genetic algorithms and mixed integer linear programming techniques. Application to case studies shows the applicability of the method to industry-size systems and the quality of the obtained solutions when compared to the true optimum for small size examples.
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https://hal.archives-ouvertes.fr/hal-00903753
Contributor : Jean-Philippe Babau <>
Submitted on : Wednesday, November 13, 2013 - 6:53:27 AM
Last modification on : Tuesday, July 13, 2021 - 9:42:01 AM

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Asma Mehiaoui, Ernest Wozniak, Sara Tucci Piergiovanni, Chokri Mraidha, Marco Di Natale, et al.. A two-step optimization technique for functions placement, partitioning, and priority assignment in distributed systems. SIGPLAN/SIGBED Conference on Languages, Compilers and Tools for Embedded Systems 2013, Jun 2013, Seattle, United States. pp.121-132, ⟨10.1145/2465554.2465572⟩. ⟨hal-00903753⟩

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