Conference Papers

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    Developing a Feedback Model for Managing Congestion in Packet Switched Wide Area Networks.
    (Springer Link, 2010-01) Ogbimi, E.F.; Aderounmu, Ganiyu A.; Oluwatope, Ayodeji
    The objectives of the paper was to design a feedback model for congestion control in packet switched WAN and carry out the performance evaluation of the model. A feedback approach was generated by designing a feedback model. Control theory was used to assess the stability of thebandwidth. The stability of flow of bandwidth was determined by finding the transfer function of the routers. A fluid flow model was developed using a queuing model. Secondly, the flow of bandwidth was optimized and the stability was checked. The conditions for stability in a packet switched WAN were established.
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    An e-business grid model architecture for small and medium scale enterprises
    (2010-05) Bello, Sururah Apinke; Oluwatope, Ayodeji; Abiona, Olatunde; Sanni, Mistura; Onime, Clement E.; Eludiora, Safiriyu Ijiyemi; Aderounmu, Ganiyu A; Adagunodo, E. R.; Kehinde, L. O.
    In grid computing a loosely coupled and virtual computing infrastructure is created out of a collection of connected heterogeneous processors sharing various combinations of resources. It is pertinent to note that African Small and Medium Enterprises (SMEs) cannot participate in the global market using the current e-business solution due to the lack of or nonexistent infrastructure to support such services. In this paper, we propose a grid service based solution that is indigenous to African SMEs and technologically tailored to meet their local needs. The solution is based on an Application Service Provider (ASP) grid framework. The framework is specified using Universal Modeling Language (UML)
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    Computational Modeling of Collaborative Resources Sharing in Grid System
    (Springer Link, 2011-03) Oluwatope, Ayodeji; Iyanda, Duada; Aderounmu, Ganiyu; Adagunodo, Rotimi
    In grid computing, Grid users who submit jobs or tasks and resources providers who provide resources have different motivations when they join the Grid system. However, due to autonomy both the Grid users’ and resource providers’ objectives often conflict. This paper proposes autonomous hybrid resource management algorithm aim at optimizing the resource utilization of resources providers using “what-you-give-is-what-you-get” Service Level Agreements resource allocation policy. Utility functions are used to achieve the objectives of Grid resource and application. The algorithm was formulated as joint optimization of utilities of Grid applications and Grid resources, which combine the resource contributed, incentive score, trustworthiness and reputation score to compute resource utilization. Simulations were conducted to study the performance of the algorithm using GridSim v5.0. The simulation results revealed that the algorithm yields significantly good result because no user can consume more than what it contribute under different scenarios; hence the problem of free riding has been addressed through this algorithm. KeywordsResource scheduling–Grid System–Computational modeling