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    From meta-computing to interoperable infrastructures: a review of meta-schedulers for HPC, Grid and Cloud

    Sotiriadis, Stelios and Bessis, N. and Xhafa, F. and Antonopoulos, N. (2012) From meta-computing to interoperable infrastructures: a review of meta-schedulers for HPC, Grid and Cloud. In: UNSPECIFIED (ed.) 2012 IEEE 26th International Conference on Advanced Information Networking and Applications. IEEE, pp. 874-883. ISBN 9781467307147.

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    Over the last decades, the cooperation amongst different resources that belong to various environments has been arisen as one of the most important research topic. This is mainly because of the different requirements, in terms of jobs' preferences that have been posed by different resource providers as the most efficient way to coordinate large scale settings like grids and clouds. However, the commonality of the complexity of the architectures (e.g. in heterogeneity issues) and the targets that each paradigm aims to achieve (e.g. flexibility) remains the same. This is to efficiently orchestrate resources and user demands in a distributed computing fashion by bridging the gap among local and remote participants. At a first glance, this is directly related with the scheduling concept, which is one of the most important issues for designing a cooperative resource management system, especially in large scale settings. In addition, the term meta-computing, hence meta-scheduling, offers additional functionalities in the area of interoperable resource management because of its great proficiency to handle sudden variations and dynamic situations in user demands by bridging the gap among local and remote participants. This work presents a review on scheduling in high performance, grid and cloud computing infrastructures. We conclude by analysing most important characteristics towards inter-cooperated infrastructures.


    Item Type: Book Section
    Additional Information: ISSN: 1550-445X
    Keyword(s) / Subject(s): cloud computing, grid computing, open systems, scheduling, HPC, cloud computing, cooperative resource management system, distributed computing, grid computing, interoperable infrastructures, meta-schedulers, metacomputing, Availability, Computer architecture, Dynamic scheduling, Heuristic algorithms, Processor scheduling, Resource management, Clouds, Grids, Inter-clouds, Inter-enterprises, Meta-scheduling
    School: Birkbeck Faculties and Schools > Faculty of Science > School of Computing and Mathematical Sciences
    Research Centres and Institutes: Birkbeck Knowledge Lab
    Depositing User: Stelios Sotiriadis
    Date Deposited: 15 Jun 2018 11:06
    Last Modified: 09 Aug 2023 12:43


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