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A Distributed Computing System (DCS) comprising networked heterogeneous processors requires efficient tasks to processor allocation to achieve minimum turnaround time and highest possible throughput. Task allocation in DCS remains an important and relevant problem attracting the attention of researchers in the discipline. A good number of task allocation algorithms have been proposed in the literature [3][4][5][6][7][8][9]. This algorithm considered allocation of the modules of a single task to various processing nodes and aim to minimize the turnaround time of the given task. But they did not consider execution of modules belonging to various different tasks (i.e. multiple tasks). In this work we have considered the number of modules that can be accepted by individual processing nodes along with their memory capacities and arrival of multiple disjoint tasks to the DCS from time to time. In this paper, a method based on genetic algorithm is developed which is memory efficient and give an optimal solution of the problem. The given simulation results also show significant achievement in this regard.

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Ontology is a fundamental data object for organizing knowledge in a structured way in many areas ranging from philosophy to Knowledge Management. Knowledge capture, knowledge integration and knowledge delivery are the essential parts of dynamic knowledge management. E-Learning is considered to be an integral part of knowledge delivery system. Information architect plays an important role in developing the system, and are primarily responsible for capturing and modeling knowledge from various Information sources as a part of eLearning. Ontology is found to be useful and efficient as a basis to capture the knowledge, model it in a structured way and disseminate it for further processing from various information sources. In this paper, we present a brief description on the role of ontology in e-learning and review the ontology building tools. The purpose for reviewing ontology building tools is to determine the toolkit most suitable for ontology creation, editing, and mind/concept mapping from the view points of Information Architects (IAs) who play a significant role in designing knowledge management systems. The paper also gives a fundamental understanding of ontology tools available on the market as open source products as well as commercial products in terms of their capability, availability, enhancement and further development. We provide a ranked list of the tools based on our needs and suitability for the IAs.

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