Anticipatory Data Replication Strategy with Dynamic Distributed Model for Cloud Computing
Journal Title: International Journal for Research in Applied Science and Engineering Technology (IJRASET) - Year 2016, Vol 4, Issue 8
Abstract
Cloud Computing can process intensive applications and various scientific functions across heterogeneous environments. In performance of cloud computing correct load balancing is always desirable and challenging, these methods minimize the total access time and also increase the availability. Through load balancing, nodes will be controlled and prevented from overloading and as a result system throughput will be enhanced. In this research paper we are presenting an “Anticipatory Data Replication Strategy with Dynamic Distributed Model for Cloud Computing (ADRS-DDMC)”. This paper introduces a novel dynamic data replication method that is functioning based on anticipations to create the pre-replicas for future needs of the sites. Proposed ADRS-DDMC method optimizes load balancing by increasing the data availability among the existing sites. The results are compared with LRU (Least recently used) and LFU (Least frequently used).Proposed and existing method are implemented over cloud sim simulator, experimental results clearly shows that proposed method have better performance as compared to existing methods.
Authors and Affiliations
Umesh Lilhore, Dr Santosh Kumar
Keywords
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- EP ID EP22543
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