Abstract
The video on demand applications is becoming more and more popular with the increasing in network bandwidth. However, there still remain some challenges including utilizing the resources efficiently, maximizing the throughput, and minimizing the delivery time. In this paper, we propose a genetic algorithm R-2DCGA for video distributing. It focuses on makespan and load balancing and can be used for insufficient supply. Experiments have been conducted to evaluate the effectiveness and performance. The experimental results show that R-2DCGA achieves greater ability to reduce makespan and keep load balancing compared to 2DCGA.
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Acknowledgements
This work is supported by Major Scientific and Technological Projects of Fujian, China (Grant No. 2013HZ0001-4).
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Cai, Z., Huang, X., Ou, Y. (2019). A Distributing Method for Insufficient Supply in P2P Video Broadcast System. In: Pan, JS., Lin, JW., Sui, B., Tseng, SP. (eds) Genetic and Evolutionary Computing. ICGEC 2018. Advances in Intelligent Systems and Computing, vol 834. Springer, Singapore. https://doi.org/10.1007/978-981-13-5841-8_33
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DOI: https://doi.org/10.1007/978-981-13-5841-8_33
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