OPTIMIZING THE STORAGE SPACE AND COST WITH RELIABILITY ASSURANCE BY REPLICA REDUCTION ON CLOUD STORAGE SYSTEM

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Annal Ezhil Selvi
Anbuselvi R

Abstract

Content Distribution Networks have been attracted a great deal of attraction in recent years on cloud computing. Replica placement problems (RPPs) as one of the key technologies in the Content Distribution Networks have been widely studied. The internet services are hosted by multiple geographically distributed datacenters. For the increasingly expanded utility of Cloud storage, the improvement of resources management and reduces the storage space, cost is complicated issues on data replication. So in order to reduce the data replication, this paper, proposed the concept of Reliability Assurance algorithm (RA). The RA is reducing the file replication from the server and improves the reliability of the server. The RA algorithm identified the data replication on un-accessing files. The unpredicted files called as replicated files, these files occupy a more space on cloud server. The low ranking prediction algorithm identified the unpredicted files on cloud server based on file accessing. Reduced data replication on cloud server it’s allows optimizing the storage space and cost. Using the RA and Ranking algorithm combined to reduce the data replication and storage space.

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S.Annal Ezhil Selvi and Dr. R. Anbuselvi, “Ranking Algorithm Based on File’s Accessing Frequency for Cloud Storage Systemâ€, International Journal of Advanced Research Trends in Engineering and Technology (IJARTET) Vol. 4, Issue 9, Sep 2017.

Jonathan L. Krein, Lutz Prechelt “Multi-Site Joint Replication of a Design Patterns Experiment using Moderator Variables to Generalize across Contexts†IEEE Transactions On Software Engineering, Vol. X, No. X, Month 2015

Wenhao Li, Yun Yang, Dong Yuan, “Ensuring Cloud Data Reliability with Minimum Replication by Proactive Replica Checkingâ€, IEEE Trans. Computers 65(5): 1494-1506 (2016)

YaserMansouri, Adel NadjaranToosi, and Rajkumar Buyya “Cost Optimization for Dynamic Replication and Migration of Data in Cloud Data Centers†IEEE Transactions On Cloud Computing, Vol. pp, No. 99, January 2017

Runhui Li, Yuchong Hu, and Patrick P. C. Lee “Enabling Efficient and Reliable Transition from Replication to Erasure Coding for Clustered File Systems†IEEE Transactions On Parallel And Distributed Systems, Vol. pp, No. 99, March 2017.

Jerry Chou, Ting-Hsuan Lai “Exploiting Replication for Energy-Aware Scheduling in Disk Storage Systems†IEEE Transaction On Parallel And Distributed Systems, Volume 26,No 10,Oct 2015.

Guoxin Liu, HaiyingShen, Harrison Chandler “Selective Data replication for Online Social Networks with Distributed Datacenters†IEEE Transactions On Parallel And Distributed Systems, Vol. 24, No. 8, August 2016

Amina Mseddi, Mohammad Ali Salahuddin “On Optimizing Replica Migration in Distributed Cloud Storage Systems†4th IEEE International Conference on Cloud Networking (IEEE CloudNet 2015)

HaiyingShen, Guoxin Liu, “Swarm Intelligence based File Replication and Consistency Maintenance in Structured P2P File Sharing Systems†IEEE Transactions On Computers, Vol. 64, No. 10, Oct 2015.

SameeUllah Khan, Ishfaq Ahmad “Comparison and analysis of ten static heuristics-based Internet data replication techniques†Parallel Distrib. Comput. 68 (2008)

Zheng Yan, Lifang Zhang, Wenxiu Ding, and QinghuaZheng, “Heterogeneous Data Storage Management with Deduplication in Cloud Computing†IEEE Transactions On Big Data, Vol. pp, No.99, May 2017

Jing Zhao,XuejunZhuo, “Contact Duration Aware Data Replication in DTNs with Licensed and Unlicensed Spectrum†IEEE Transactions On Mobile Computing, Vol. 15, No. 4, April 2016

Jenn-Wei Lin, Chien-Hung Chen “QoS-Aware Data Replication for Data Intensive Applications in Cloud Computing Systems†IEEE Transactions On Cloud Computing May 2014

Rodrigo N. Calheiros, Rajkumar Buyya “Meeting Deadlines of Scientific Workflows in Public Clouds with Tasks Replication†IEEE Transactions On Parallel And Distributed Systems, Vol. 25, No. 7, July 2014

Han Hu, Yonggang Wen, Tat-Seng Chua, Jian Huang, Wenwu Zhu and Xuelong Li “Joint Content Replication and Request Routing for Social Video Distribution over Cloud CDN: A Community Clustering Method†IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, No. 7, July 2016

Mazhar Ali, Kashif Bilal, Samee U. Khan, Bharadwaj Veeravalli, Keqin Li, and Albert Y. Zomaya “DROPS: Division and Replication of Data in the Cloud for Optimal Performance and Security†IEEE Transactions on Cloud Computing, Vol. PP, No. 99, February 2015

Sebastiano Peluso, Virginia Tech, Pedro Ruivo, Paolo Romano and Lu´ıs Rodrigues “GMU: Genuine Multiversion Update-Serializable Partial Data Replication†IEEE Transactions on Parallel and Distributed Systems, Vol. 27, No. 10, October 2016

Hiroki Nishiyama, Asato Takahashi, Nei Kato, Katsuya Nakahira, and Takatoshi Sugiyama “Dynamic Replication and Forwarding Control Based on Node Surroundings in Cooperative Delay-Tolerant Networks†IEEE Transactions on Parallel and Distributed Systems, Vol. 26, No. 10, October 2015

Cijo George, Sathish Vadhiyar “Fault Tolerance on Large Scale Systems using Adaptive Process Replication†IEEE Transactions on Computers, Vol. 64, No. 8, August 2015.

Abdullah Gharaibeh, Samer Al-Kiswany, and Matei Ripeanu “ThriftStore: Finessing Reliability Trade-Offs in Replicated Storage Systems†IEEE Transactions on parallel and Distributed Systems, Vol. 22, No. 6, June 2011

BaharehAlamiMilani, NimaJafariNavimipour, “A Comprehensive review of the data replication techniques in the cloud Environments: Major trends and future directions†Research Gate, February 2016.

Bakhta Meroufela *, Ghalem Belalemb “Managing Data Replication and Placement Based on Availability†2013 AASRI Conference on Parallel and Distributed Computing Systems.