Abstract
In Distributed Real-Time Systems the execution of computational tasks must be completed within time else catastrophe may ensue. This constraint can be achieved by optimal task allocation in DRTS. In the process of task allocation, an appropriate and efficient load sharing strategies can improve the performance of distributed system. In this paper an efficient, two level clustering approach has been proposed. The initial level of clustering will be done on the basis of execution cost and inter task communication cost and second at the stage of task allocation. In the allocation of tasks a more scalable active approach is being followed which iteratively refines the performance of DRTS. The proposed model has been simulated in MATLAB 7.11.0. Two examples have been demonstrated to illustrate the model and algorithm for performance improvement in distributed system.
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Kaushal, U., Kumar, A. (2014). Modified Clustered Approach for Performance Escalation of Distributed Real-Time System. In: Satapathy, S., Avadhani, P., Udgata, S., Lakshminarayana, S. (eds) ICT and Critical Infrastructure: Proceedings of the 48th Annual Convention of Computer Society of India- Vol II. Advances in Intelligent Systems and Computing, vol 249. Springer, Cham. https://doi.org/10.1007/978-3-319-03095-1_2
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DOI: https://doi.org/10.1007/978-3-319-03095-1_2
Publisher Name: Springer, Cham
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