Abstract
Grid computing becomes more and more popular in integrating distributed heterogeneous resources. Despite all that, efficient monitoring to resources of different ownership in Grids remains a challenge. In this paper a novel resource-autonomy based grid monitoring architecture named PIMISA (Plug-In Monitoring and Information Service Architecture) is proposed to address this problem. GMA and SOA are subtly explored in the “Two-Level-Logic” philosophy of PIMISA: only measurement and control metadata of resources are globally published, while monitoring data communication between elements of different ownerships are handled by means of service invocation. The monitoring within the scope of an ownership follows a close-loop structure: a dynamic configurable set of management logic is kept, and resource states are analyzed at real time so that corresponding control indications could be made by decision-making. Moreover, above procedure can be achieved by a “Third-Party Mount” mode to leverage caused load on resources proportion to their capabilities. A prototype is currently under development, and therefore, the implementation scheme of PIMISA is presented in mathematical format.
This Work is supported by Natural Science Foundation of China under Grant 60573110, 60373005, 90412011, and 973 Project under Grant 2003CB3169007.
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Hu, M., Yang, G., Zheng, W. (2006). A Resource-Autonomy Based Monitoring Architecture for Grids. In: Chung, YC., Moreira, J.E. (eds) Advances in Grid and Pervasive Computing. GPC 2006. Lecture Notes in Computer Science, vol 3947. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11745693_47
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DOI: https://doi.org/10.1007/11745693_47
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