PG-RM: Prognostic Approach for optimizing Grid computation using Risk Management Methodology.

Rahul Bose, Prabhat Kumar Singh,Sunil Kumar Singh, S Venkatesan

Abstract


With the emergence of grid computing technology to provide a high end solution for complex collaborated problems and high
performance computing using the available distributed resources, it is important to implement a strong security Architecture along with a Risk
Management Methodology. In this paper, a prognostic approach for optimization of grid computation is proposed, with the inclusion of an
advance risk management layer. This approach is named as PG-RM grid (Prognostic approach for optimizing Grid computation using Risk
Management Layer). Then the proposed model and architecture of this grid is presented with a high level work flow Model. This is a closely
focused heuristic approach on the risk management methodology for improving decision making process of grid manager.
In this paper, a well-established approach for analysing the probable value of risk associated with the different security threats and vulnerabilities
of the Grid is proposed. We are introducing a new risk management layer in the grid architecture Framework to provide detailed and immaculate
explanation of selecting a middleware node for performing task events in the grid. Now the grid resource allocator will be able to analyse the ongoing
processes of the overall distributed Grid on the basis of the confidentiality, Integrity and Availability report, generated and maintained by
the Risk Management Layer.


Keywords:Grid Computing, Risk Management, Resource Management, Resource Allocation, Confidentiality, Integrity, Availability, Least Risk
Value, Grid Information System Manager.


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DOI: https://doi.org/10.26483/ijarcs.v4i4.1630

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