Cluster Computing

, Volume 22, Supplement 5, pp 11119–11128 | Cite as

An efficient and improved multi-objective optimized replication management with dynamic and cost aware strategies in cloud computing data center

  • E. Bijolin EdwinEmail author
  • P. Umamaheswari
  • M. Roshni Thanka


Recent technology which focus in cloud computing with ICT based service providers for better challenges in the field of online services. This provides the computing world as an utility based scenario of sharing the given resources of different data centeres with enormous opportunities. Though replicas of a data file has increased, the performance and availability of data also increases. In this paper the different aspects on dynamic, cost-aware with the data replication method through optimization is proposed which identifies the less amount of information of data replication which is required to make sure that the data availability increases with the increase in the replication process. The multi objective optimization strategy for the cost of replication from higher-cost data centers to lower-cost data centers being implemented by the concept of Improved knapsack algorithm and considering the availability and load balancing in the replication process. Data can be managed effectively by file replication, which reduces effectively the file service time and access latency, which increases the file availability and the system get improved through load balancing. An efficient and improved multi-objective optimized replication management (EIMORM) can solve these optimal solutions by balancing among these optimization objectives. Some experiments clearly shows that the EIMORM is much more energy efficiency and the performance in the replication system of the Hadoop Distributed File System (HDFS) with the multi-objective evolutionary stated algorithm with the performance, load balancing in cloud storage clustors. Now considering the energy efficiency also considering the bandwidth of system. Hence the results taken through simulator can support the energy efficiency as the guidance in the areas of data replication.


Cloud data center Data replication cost Load balancing Availability 


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© Springer Science+Business Media, LLC 2017

Authors and Affiliations

  1. 1.Department of Computer Sciences TechnologyKarunya UniversityCoimbatoreIndia
  2. 2.Department of Computer Science & Engineering, College of EngineeringAnna UniversityChennaiIndia

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