Selective Load Balancing System of Video Traffic in Wireless Networks
Keywords:
Load Balancing, Network Framework, Wireless networkAbstract
The state-of-art of the innovation focuses on data handling and, sharing to deal with enormous sum of data and, client’s needs. Wireless network is a promising technology, which empowers one to achieve the aforesaid goal, leading towards enhanced business performance. Wireless network comes into focus of consideration immediately when you think about what IT constantly needs: a implies to increment capacity or add abilities on the fly without investing in new infrastructure, training new human resources, or licensing new software. The network should give resources on demand, to its customers with high availability, scalable and, with decreased cost. Wireless network Framework has widely been adopted by the industry, though there are numerous existing issues which have not been so far wholly addressed. Load balancing is one of the primary challenges, which is required to distribute the dynamic workload over distinctive hubs to ensure that no single hub is overwhelmed. This Paper gives an effective dynamic load balancing calculation for network workload administration by which the load can be dispersed not only in a adjusted approach, but moreover it dispenses the load systematically and, uniformly by checking certain parameters like number of demands the server is handling currently. It parities the load on the over-stacked hub to under stacked hub so that reaction time from the server will diminish and, execution of the framework is increased.
References
M. A. Kashem; V. Ganapathy; G. B. Jasmon, “A geometric approach for three-phase load balancing in distribution networks”, Power System Technology, 2000. Proceedings. PowerCon 2000. International Conference on, Year: 2000, Volume: 1, Pages: 293 – 298.
Jasween Kaur, Kiranbir Kaur, "A Study of Fuzzy Based Dynamic Load Balancing for Cell Networks", International Journal of Computer Sciences and Engineering, Volume-04, Issue-01, Page No (70-75), Jan -2016
Nico Kruber; Mikael Högqvist; Thorsten Schütt, “The Benefits of Estimated Global Information in DHT Load Balancing”, Cluster, Cloud and Grid Computing (CCGrid), 2011 11th IEEE/ACM International Symposium on, Year: 2011, Pages: 382 – 391.
Zhihao Shang; Wenbo Chen; Qiang Ma; Bin Wu, “Design and implementation of server cluster dynamic load balancing based on OpenFlow”, Awareness Science and Technology and Ubi-Media Computing (iCAST-UMEDIA), 2013 International Joint Conference on, Year: 2013,Pages: 691 – 697.
Quentin Bragard; Anthony Ventresque; Liam Murphy, “Global dynamic load-balancing for decentralised distributed simulation”, Proceedings of the Winter Simulation Conference 2014, Year: 2014, Pages: 3797 – 3808.
Yingwu Zhu; Yiming Hu, “Efficient, proximity-aware load balancing for structured P2P systems”, Peer-to-Peer Computing, 2003. (P2P 2003). Proceedings. Third International Conference on, Year: 2003, Pages: 220 – 221.
Hye-Seon Maeng; Hyoun-Su Lee; Tack-Don Han; Sung-Bong Yang; Shin-Dug Kim, “Dynamic load balancing of iterative data parallel problems on a workstation cluster” High Performance Computing on the Information Superhighway, 1997. HPC Asia '97, Year: 1997, Pages: 563 – 567.
Vaishnavi Aher,Sayali Khairnar,Madhuri Shinde and Priyanka Shirole, "Load Balancing of node in Network using Ant Colony Optimization", International Journal of Computer Sciences and Engineering, Volume-03, Issue-01, Page No (105-108), Jan -2015
Rajkumar Rajavel, “De-Centralized Load Balancing for the Computational Grid environment”, Communication and Computational Intelligence (INCOCCI), 2010 International Conference on, Year: 2010, Pages: 419 – 424.
Gengbin Zheng; Esteban Meneses; Abhinav Bhatele; Laxmikant V. Kale, “Hierarchical Load Balancing for Charm++ Applications on Large Supercomputers”, 2010 39th International Conference on Parallel Processing Workshops, Year: 2010, Pages: 436 – 444.
Downloads
Published
How to Cite
Issue
Section
License

This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
