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Rapid growth of internet and other technologies seems more challenging to develop the high speed networks with powerful capabilities in lower computational cost. To cover the above problem grid computing has emerged rapidly. The previous technologies such as distributed computing cluster computing, parallel computing, etc., facing the problem of space utilization. Using Grid Computing technologies...
Workload information management and resource management are two key aspects in grid computing to provide the better services to grid environment users. Grid computing also faced other challenging areas like heterogeneous nature of resources, huge number of computing elements, independency of computing resources, different processing capacities of the nodes, different types of load conditions, overloading...
A number of methods and mechanisms are used to safe data in distributed and cluster computing or homogenous kind of environment where we don't have much challenges for security. In contrast heterogeneous systems require proper attention has to be given on security of the data due to increasing need of computing, data sharing and interacting with other resources make the systems more vulnerable. Grid...
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