Abstract
This paper focuses on the problem related to assigning several big data packages on different routers when seeking equity of sending time. It is challenging to find a good algorithm that can distribute big data on routers before sending them. We assume that all routers share the same technical characteristics. The problem is as follows. Given a set of big data, represented by its size in MB, the objective is to plan the assignment so that the minimum time sending gap exists between the routers. The objective function of the optimizing problem is the minimization of the size gap. This optimization problem is very NP-hard. We propose a new summarized network architecture, based on adding a new component: a scheduler. The scheduler applies several algorithms to search for a resolution to the studied problem. Four heuristics were developed, and experimental results are provided to allow a comparison between heuristics. Two classes of instances are provided. The results given by generated instances show that the performance of heuristics.
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Acknowledgements
The authors would like to thank the Deanship of Scientific Research at Majmaah University for supporting this work.
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Jemmali, M., Alquhayz, H. (2020). Equity Data Distribution Algorithms on Identical Routers. In: Khanna, A., Gupta, D., Bhattacharyya, S., Snasel, V., Platos, J., Hassanien, A. (eds) International Conference on Innovative Computing and Communications. Advances in Intelligent Systems and Computing, vol 1059. Springer, Singapore. https://doi.org/10.1007/978-981-15-0324-5_26
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DOI: https://doi.org/10.1007/978-981-15-0324-5_26
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