Browsing by Author "Aderounmu, G.A."

Now showing 1 - 4 of 4
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    A FUZZY SEMANTIC INFORMATION RETRIEVAL SYSTEM FOR TRANSACTIONAL APPLICATIONS
    (Data Science Journal, 2009-10) Ajayi, A.O.; Soriyan, H.A.; Aderounmu, G.A.
    In this paper, we present an information retrieval system based on the concept of fuzzy logic to relate vague and uncertain objects with un-sharp boundaries. The simple but comprehensive user interface of the system permits the entering of uncertain specifications in query forms. The system was modelled and simulated in a Matlab environment; its implementation was carried out using Borland C++ Builder. The result of the performance measure of the system using precision and recall rates is encouraging. Similarly, the smaller amount of more precise information retrieved by the system will positively impact the response time perceived by the users
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    Jobs Nowhere but Everywhere: Resolving Nigeria's Unemployment Crisis through Information Technology
    (Obafemi Awolowo University Press Limited, 2017-07-04) Aderounmu, G.A.
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    A multi-agent system approach for trustworthy cloud service discovery
    (Cogent Engineering, 2016) Akinwunmi, A.O.; Olajubu, E.A.; Aderounmu, G.A.
    Harnessing the benefits of cloud computing, demands that a potential user has adequate access to trustworthy cloud services. Locating resources and services in a heterogeneous network such as cloud environment may be a tedious task. The cloud computing is a form of distributed system with a complex aggregation of computing resources from different domains with different administrative policies but having immense benefits that could enhance the mode of computing. Discovering cloud services is complicated by the varied level of quality of service offered by the different providers, hence a monolithic approach to cloud service discovery cannot effectively support the cloud environment. This work proposed a distributive approach to discovering trustworthy cloud services with the use of Multi- Agents System for achieving intelligent cloud service discovery. Simulation experiments were carried out and the results showed that extending the Multi-Agents System approach by integrating trust into the process of cloud service discovery improves the quality of service in terms of response time and scalability.
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    Performance Modeling of an Enhanced Optimistic Locking Architecture for Concurrency Control in a Distributed Database System
    (Journal of Research and Practice in Information Technology, 2005-12) Akintola, A.A.; Aderounmu, G.A.; Osakwe, A.U.; Adigun, M.O.
    Optimistic methods of concurrency control are gaining popularity. This is especially true with the resurgence of mobile and distributed databases during the last decade, which inherently rely on optimistic techniques to improve availability and performance of the distributed database systems. A key problem with optimistic techniques is that they do not perform well in highly conflict prone environments. Pessimistic techniques, especially locking, perform much better under these circumstances. In this research effort, the authors explored a hybrid technique called optimistic locking architecture that provides locking for high conflict data items and optimistic access for the rest. The model uses self-tuning that does not require the transaction manager, the transaction or the user to incorporate any additional knowledge or to specify which data items or transactions are optimistic. Rather, the system uses a data structure called lock buffer to maintain optimal level of locks in the system. The empirical results obtained show that the performance of optimistic concurrency control techniques can be significantly improved by using a relatively small lock buffer. The analysis of the results also show improved performance degradation which is suitable to the distributed database environment. ACM Classification: C.2.4: Distributed Systems