Work place: Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife, Nigeria
E-mail: aoluwato@oauife.edu.ng
Website:
Research Interests: Computer systems and computational processes, Computer Architecture and Organization, Data Structures and Algorithms
Biography
Dr. Ayodeji Oluwatope recieved bachealor degree inScience (Computer Engineering) ’95, MSc (ComputerScience) ’03 and Ph.D (Computer Science) ’08 specialising in data communication and computer neworks all from the Obafemi Awolowo University, IleIfe, Nigeria. He is a Senior Lecturer in the Department of Computer Science and Engineering, Obafemi Awolowo University, Ile-Ife where he teaches and conducts research. He is the Leader of Network Utility Maximisation Sub-group (Comnet Labs) in the Department wherein he supervises Masters and Doctoral students. His research interests include simulation and modeling of data communication systems. He has published several articles in journals and international conferences. He is a member of the Nigerian Society of Engineers, Nigerian Computer Society and the Nigerian Young Academy. He serves on the editorial board of a journal and conference proceedings.
By Oyeyinka I.K. Akinwale A.T. Folorunso O. Olowofela J.A. Oluwatope A.
DOI: https://doi.org/10.5815/ijcnis.2012.04.07, Pub. Date: 8 May 2012
All the proposed window based congestion control protocols use a single slow start algorithm. It has been shown in literature that slow start inefficiently utilizes bandwidth in a network with high bandwidth delay product (BDP). A multiple startup algorithm (E-speed start) was proposed in this work. E-speed start specifies a multiple selectable startup for Transmission Control Protocol (TCP). It is proposed that startup speed for TCP be selectable from n-arry startup algorithms. In E-speed start, a binary start was implemented based on a calculated value β which depends on the available bandwidth and other network conditions. A model for E-speed start was derived using utility maximization theory and the principle of decentralised solution. The model derived was shown to be stable by linear approximation, Laplace transform and by using the concept of Nyquist Stability criterion.
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