Abstract
Facing the large-scale, heterogeneous dynamic resource and the complex constraints of computation-intensive parallel scientific applications, collaborating large-scale computation resource for these applications within Large-Scale Distributed Computing Infrastructures like grids and clouds are challenging. This paper addresses this issue by proposing a Resource Capability Model and implementing a corresponding language GSO and an information service Application Information Service to ensure not only the resource description, aggregation, matchmaking but also life cycle management of the reservations and tasks. Experiment result shows that our mechanism is scalable in both Grid and Cloud environment.
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Acknowledgement
This research work was supported by the Migol project from the Potsdam University (http://www.migol.de), the self-conducted exploratory research program “Green Lighting in Internet of Things” from State Key Laboratory for Software Development Environment in China (NO.SKLSDE-2010ZX-06), the Special Program for Seism-Scientific Research in Public Interest “Research in Online Processing Technologies for Seismological Precursory Network Dynamic Monitoring and Products” (NO. 201008002) and the National Natural Science Foundation of China (No. 61100066)
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© 2014 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Liang, F., Liu, H., Liu, Y., Ma, S., Zheng, S., Deng, P. (2014). A Capability-Based Matchmaking Mechanism Supporting Resource Aggregation within Large-Scale Distributed Computing Infrastructures. In: Leung, V., Chen, M. (eds) Cloud Computing. CloudComp 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 133. Springer, Cham. https://doi.org/10.1007/978-3-319-05506-0_14
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DOI: https://doi.org/10.1007/978-3-319-05506-0_14
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