Work place: Department of Computer Science, Aligarh Muslim University, Aligarh, India
Research Interests: Computer systems and computational processes, Artificial Intelligence, Pattern Recognition, Distributed Computing, Parallel Computing
Dr. Rafiqul Zaman Khan: Dr. Rafiqul Zaman Khan is presently working as an Associate Professor in the Department of Computer Science in Aligarh Muslim University (A.M.U), Aligarh, India. He received his B.Sc. Degree from M.J.P Rohilkhand University, Bareilly, M.Sc and M.C.A from A.M.U. and PhD (Computer Science) from Jamia Hamdard University, New Delhi, India. He has 19 years of Teaching Experience of various reputed International and National Universities viz King Fahad University of Petroleum & Minerals (KFUPM), K.S.A, Ittihad University, U.A.E, Pune University, Jamia Hamdard University and AMU, Aligarh. He worked as a Head of the Department of Computer Science at Poona College, University of Pune. He also worked as a Chairman of the Department of Computer Science, AMU, Aligarh. His Research Interest includes Parallel & Distributed Computing, Gesture Recognition, Expert Systems and Artificial Intelligence. Presently four students are doing PhD under his supervision. He has published about 40 research papers in International Journals/Conferences. Names of some Journals of repute in which recently his articles have been published are International Journal of Computer Applications (ISSN: 0975-8887), U.S.A, Journal of Computer and Information Science (ISSN: 1913-8989), Canada, International Journal of Human Computer Interaction (ISSN: 2180-1347), Malaysia, and Malaysian Journal of Computer Science(ISSN: 0127-9084), Malaysia. He is the Member of Advisory Board of International Journal of Emerging Technology and Advanced Engineering (IJETAE), Editorial Board of International Journal of Advances in Engineering & Technology (IJAET), International Journal of Computer Science Engineering and Technology (IJCSET), International Journal in Foundations of Computer Science & technology (IJFCST) and Journal of Information Technology, and Organizations (JITO).
DOI: https://doi.org/10.5815/ijitcs.2014.08.09, Pub. Date: 8 Jul. 2014
In distributed computing system some nodes are very fast and some are slow and during the computation many fast nodes become idle or under loaded while the slow nodes become over loaded due to the uneven distribution of load in the system. In distributed system, the most common important factor is the information collection about loads on different nodes. The success of load balancing algorithm depends on how quickly the information about the load in the system is collected by a node willing to transfer or accept load. In this paper we have shown that the number of communication overheads depends on the number of overloaded nodes present in the domain of an under loaded nodes and vice-versa. We have also shown that communication overhead for load balancing is always fairly less than KN but in worst case our algorithm’s complexity becomes equal to KN.[...] Read more.
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