2012 | OriginalPaper | Buchkapitel
A Genetic Algorithm with Communication Costs to Schedule Workflows on a SOA-Grid
verfasst von : Jean-Marc Nicod, Laurent Philippe, Lamiel Toch
Erschienen in: Euro-Par 2011: Parallel Processing Workshops
Verlag: Springer Berlin Heidelberg
Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.
Wählen Sie Textabschnitte aus um mit Künstlicher Intelligenz passenden Patente zu finden. powered by
Markieren Sie Textabschnitte, um KI-gestützt weitere passende Inhalte zu finden. powered by
In this paper we study the problem of scheduling a collection of workflows, identical or not, on a SOA (Service Oriented Architecture) grid . A workflow (job) is represented by a directed acyclic graph (DAG) with typed tasks. All of the grid hosts are able to process a set of typed tasks with unrelated processing costs and are able to transmit files through communication links for which the communication times are not negligible. The goal of our study is to minimize the maximum completion time (makespan) of the workflows. To solve this problem we propose a genetic approach. The contributions of this paper are both the design of a Genetic Algorithm taking the communication costs into account and its performance analysis.