International Journal of Scientific & Technology Research

Home About Us Scope Editorial Board Blog/Latest News Contact Us
10th percentile
Powered by  Scopus
Scopus coverage:
Nov 2018 to May 2020


IJSTR >> Volume 8 - Issue 8, August 2019 Edition

International Journal of Scientific & Technology Research  
International Journal of Scientific & Technology Research

Website: http://www.ijstr.org

ISSN 2277-8616

Performance Analysis Of Proposed D1FTBC Approach For Improving Consistency In Cloud Data Transactions

[Full Text]



J.Antony John Prabu, Dr. S Britto Ramesh Kumar



ACID, Cloud Computing, Data Transaction, Database Consistency, Data Storage, D1FTBC, Cloud TPS.



Cloud is a computing technology; it provides several services in the application for a reliable services. The main feature of cloud is an ability to handle large amount of data without knowing about hardware form and maintenance. Although, the maintenance of consistency in data transaction is considered as a major problem of cloud database. It’s one type of ACID properties. So data transaction in cloud requires better approach to maintain the consistency state. In existing, most of the researchers have developed several approaches for this issue but still it is in the infancy level. To solve this problem, this paper concentrates on developing a new approach that is D1TFBC to ensure higher level consistency. Further, the performance of the proposed approach is analyzed and results are verified with existing approaches.



[1] Birman, Ken, Gregory Chockler, and Robbert van Renesse, "Toward a cloud computing research agenda" , ACM SIGACt News, vol. 40, no. 2 , 2009, pp. 68-80.
[2] Zhang, Qi, Lu Cheng, and Raouf Boutaba, "Cloud computing: state-of-the-art and research challenges”, Journal of internet services and applications, vol. 1, no. 1, 2010, pp: 7-18.
[3] Kumar, Santosh, and R. H. Goudar, "Cloud computing-research issues, challenges, architecture, platforms and applications: a survey", International Journal of Future Computer and Communication, vol. 1, no. 4, 2012, pp. 356.
[4] Dillon, Tharam, Chen Wu, and Elizabeth Chang, "Cloud computing: issues and challenges", In 24th IEEE international conference on advanced information networking and applications,2010, pp. 27-33.
[5] J.Antony John Prabu, Dr.S Britto Ramesh Kumar, “Issues and Challenges of Data Transaction Management in Cloud Environment”, International Research Journal of Engineering and Technology (IRJET), Vol. 2, No. 4, 2015, pp. 123-128.
[6] Daniel J. Abadi, “Data Management in the Cloud: Limitations and Opportunities”, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2009.
[7] Ferretti, Luca, Michele Colajanni, and Mirco Marchetti, "Supporting security and consistency for cloud database", Cyberspace Safety and Security,2012, pp. 179-193.
[8] Golab, Wojciech, Muntasir Raihan Rahman, Alvin AuYoung, Kimberly Keeton, and Indranil Gupta, "Client-centric benchmarking of eventual consistency for cloud storage systems", IEEE 34th International Conference on Distributed Computing Systems,2014, pp. 493-502.
[9] Anand Tripathi and Gowtham Rajappan, “Scalable Transaction Management for Partially Replicated Data in Cloud Computing Environments” , IEEE 9th International Conference on Cloud Computing, 2016.
[10] Subashini, Subashini, and Veeraruna Kavitha. "A survey on security issues in service delivery models of cloud computing" , Journal of network and computer applications, vol. 34, no. 1 2011, pp: 1-11.
[11] Shrivastava, Pratik, and Udai Shanker, "Real time transaction management in replicated DRTDBS”, In Australasian Database Conference, Springer, 2019, pp. 91-103.
[12] Khelaifa, Abdennacer, Saber Benharzallah, Laid Kahloul, Reinhardt Euler, Abdelkader Laouid, and Ahcène Bounceur, "A comparative analysis of adaptive consistency approaches in cloud storage", Journal of Parallel and Distributed Computing, vol. 129, 2019, pp: 36-49.
[13] Liu, Si, Peter Csaba Ölveczky, Min Zhang, Qi Wang, and José Meseguer, "Automatic analysis of consistency properties of distributed transaction systems in Maude", In International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Springer , 2019, pp. 40-57.
[14] Zhian Lin , Chi Zhang, “A Transaction Processing Method for Distributed Database”, Advances in Computer Science Research, vol. 87,2019.
[15] Diogo, M., Cabral, B., & Bernardino, J. , “Consistency Models of NoSQL Databases”, Future Internet, 2019, pp. 1-19.
Leiju Qiu, Yang Zhao, Qian Liu, Baowen Sun, Xiaolin Wu, (2019) "Intelligent transaction: definition, modes, and research directions", International Journal of Crowd Science, Vol. 3, no. 1,2018, pp.36-48.
[16] Basu, S., &Pattnaik, P. K., “ Maintaining Consistency in Data-Intensive Cloud Computing Environment”, Progress in Computing, Analytics and Networking,2018, pp.257–264.
[17] J.Antony John Prabu, Dr.S Britto Ramesh Kumar, “Proposed Architecture for Improving Security and Consistency of Data Transactions in Cloud Database using Tree-Based Consistency Approach”, International Journal of Computer Science and Information Security (IJCSIS), Vol. 15, No. 12, 2017, pp. 118-126.