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Abstract
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Article Information:
Grid Resource Allocation: A Review
Haruna Ahmed Abba, Nordin B. Zakaria and Nazleeni Haron
Corresponding Author: Haruna Ahmed Abba
Submitted: August 15, 2011
Accepted: May 26, 2011
Published: June 30, 2012 |
Abstract:
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As computing technology improves the accessibility to computing resources increases, the demands
put on resources gets higher and higher. A grid is a large-scale, heterogeneous, dynamic collection of
independent systems, geographically distributed and interconnected with high speed networks. Furthermore,
in grid, the resource allocation is a process of allocating user jobs to the CPUs. These jobs are divided into tasks
which are allocated to different computers on grid for execution process. Resource allocation is one of the
critical features of grid technology. Thus, we found that resource heterogeneity has a great impact on resource
allocation which is quite significant in terms of performance, reliability, robustness and scalability. Indeed, the
system robustness increases as the system complexity increases. In other words, resource allocation is also an
NP complete problem where there is no final solution. The main objective of this study is to review the various
grid resource allocations strategies which will in turn serve as a guide for researchers and our vision for future
research directions. Therefore, to facilitate further developments in the area, it is essential to survey and review
the existing body of knowledge. Therefore, in this chapter, we have studied and classified various ways to
achieve an optimum solution. Operation research management (game theory and transportation method) which
have been widely use in grid resource allocation for optimum solution, we will design and evaluate a new
algorithm for resource allocation either by using simulation or real grid environment.
Key words: Efficiency, grid computing, performance, resource allocation, scalability, ,
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Cite this Reference:
Haruna Ahmed Abba, Nordin B. Zakaria and Nazleeni Haron, . Grid Resource Allocation: A Review. Research Journal of Information Technology , (2): 38-55.
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ISSN (Online): 2041-3114
ISSN (Print): 2041-3106 |
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