An Intelligent Reallocation of Load for Cluster Cloud Environment
Arun Kumar Singh 

1Arun Kumar Singh, Asst. Professor, College of Computing and Informatics, Saudi Electronic University, Kingdom of Saudi Arabia-KSA.
Manuscript received on 02 June 2019 | Revised Manuscript received on 10 June 2019 | Manuscript published on 30 June 2019 | PP: 711-714 | Volume-8 Issue-8, June 2019 | Retrieval Number: H6805068819/19©BEIESP
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Abstract: A File System is the key area for distributed computing applications. These file system are in form of nodes and it needs to work in same time for Processing and memory allocation. The creation and deletion of file system should be dynamic. But this causes the unevenness usage of file properties at the cluster cloud environment. The portions of file not shared equally at the nodes. We propose a Reallocating algorithm that trims down the dependency in middle node by using Distributed Hash Table (DHT) and allocate the resources dynamically. This reduces network traffic and increases the speed of CPU workload in the cloud environment.
Keyword: Distributed computing, Distributed Hash Table, Rebalancing the loads, Cloud computing.
Scope of the Article: Cloud, Cluster, Grid and P2P Computing.