Mohammed Abdullahi

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• Discrete Symbiotic Organism Search algorithm for task scheduling is proposed. • The proposed algorithm has better ability to exploit best solution regions than PSO. • The proposed method has global ability in terms of exploring optimal solution points. • The proposed algorithm performs significantly better than PSO for large search spaces. a b s t r a c t(More)
Cloud computing has attracted significant attention from research community because of rapid migration rate of Information Technology services to its domain. Advances in virtualization technology has made cloud computing very popular as a result of easier deployment of application services. Tasks are submitted to cloud datacenters to be processed on pay as(More)
In cloud computing, resources are dynamically provisioned and delivered to users in a transparent manner automatically on-demand. Task execution failure is no longer accidental but a common characteristic of cloud computing environment. In recent times, a number of intelligent scheduling techniques have been used to address task scheduling issues in cloud(More)
Body Area Networks (BANs) consist of various sensors which gather patient's vital signs and deliver them to doctors. One of the most significant challenges faced, is the design of an energy-efficient next hop selection algorithm to satisfy Quality of Service (QoS) requirements for different healthcare applications. In this paper, a novel efficient next hop(More)
  • Mohammed Abdullahi, Evuti, Aloko Duncan Folorunsho, Galadima Baba, Agaie, Mohammed Jibril
  • 2012
A predictive model for determining the quantity of lime required for water treatment was developed by considering the interrelationship between water quality parameter such as pH and the quantity of lime required for water treatment. The model constants were obtained using least square regression method and solving the resultant equation using MATLAB(More)
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