Browsing by Author "Aderounmu, Ganiyu"

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    Open Access
    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
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    Open Access
    A Load Balancing Policy for Distributed Web Service
    (International Journal of Communications, Network and System Sciences, 2010-01) Eludiora, Safiriyu; Abiona, Olatunde; Aderounmu, Ganiyu; Oluwatope, Ayodeji; Onime, Clement; Kehinde, Lawrence
    The proliferation of web services; and users appeal for high scalability, availability and reliability of web servers to provide rapid response and high throughput for the Clients’ requests occurring at anytime. Distrib-uted Web Servers (DWSs) provide an effective solution for improving the quality of web services. This pa-per addresses un-regulated jobs/tasks migration among the servers. Considering distributed web services with several servers running, a lot of bandwidth is wasted due to unnecessary job migration. Having consid-ered bandwidth optimization, it is important to develop a policy that will address the bandwidth consumption while loads/tasks are being transferred among the servers. The goal of this work is to regulate this movement to minimize bandwidth consumption. From literatures, little or no attention was given to this problem, mak-ing it difficult to implement some of these policies/schemes in bandwidth scarce environment. Our policy “Cooperative Adaptive Symmetrical Initiated Dynamic/Diffusion (CASID)” was developed using Java De-velopment Environment (JADE) a middle ware service oriented environment which is agent-based. The software was used to simulate events (jobs distribution) on the servers. With no job transfer allowed when all servers are busy, any over loaded server process jobs internally to completion. We achieved this by having two different agents; static cognitive agents and dynamic cognitive agents. The results were compared with the existing schemes. CASID policy outperforms PLB scheme in terms of response time and system throughput
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    Open Access
    A Trust Model for Detecting Device Attacks in Mobile Ad Hoc Ambient Home Network
    (International Journal of Advanced Pervasive and Ubiquitous Computing, 2016-06) Solomon, Akinboro; Olajubu, Emmanuel; Ogundoyin, Ibrahim; Aderounmu, Ganiyu
    This study designed, simulated and evaluated the performance of a conceptual framework for ambient ad hoc home network. This was with a view to detecting malicious nodes and securing the home devices against attacks. The proposed framework, called mobile ambient social trust consists of mobile devices and mobile ad hoc network as communication channel. The trust model for the device attacks is Adaptive Neuro Fuzzy (ANF) that considered global reputation of the direct and indirect communication of home devices and remote devices. The model was simulated using Matlab 7.0. In the simulation, NSL-KDD dataset was used as input packets, the artificial neural network for packet classification and ANF system for the global trust computation. The proposed model was benchmarked with an existing Eigen Trust (ET) model using detection accuracy and convergence time as performance metrics. The simulation results using the above parameters revealed a better performance of the ANF over ET model. The framework will secure the home network against unforeseen network disruption and node misbehavior.