Cloud Database Infrastructure: Database System Transference in Cloud Computing Management and Security

International Journal of Computer Trends and Technology (IJCTT)          
© 2017 by IJCTT Journal
Volume-47 Number-1
Year of Publication : 2017
Authors : Mohd Muntjir, Mohd. Junedul haque
DOI :  10.14445/22312803/IJCTT-V47P103


Mohd Muntjir, Mohd. Junedul haque "Cloud Database Infrastructure: Database System Transference in Cloud Computing Management and Security". International Journal of Computer Trends and Technology (IJCTT) V47(1):16-28, May 2017. ISSN:2231-2803. Published by Seventh Sense Research Group.

Abstract -
Relational database management systems endure the technology of choice for most applications. RDBMS vendors have new tricks up their sleeves to boost implementation. Relational databases have enjoyed a long run as the database backbone across a wide variety of productions, and for good intentions. NoSQL database technologies are challenging the domination of the relational database management systems. There are a number of NoSQL database preferences, all developed to accomplish particular purposes that RDBMSs aren`t intended to handle. Many establishments are finding new liberty in having so many choices when it comes to database constructions. However, despite their recent enterprises and competence in managing large data sets, NoSQL databases aren`t the right fit for all schemes -- and they aren`t likely to expel relational software from the top database roost any time soon. Contingent on your business objectives, traditional databases, NoSQL databases or a hybrid of the two may be best to dispense the most assessment. A database is manageable to clients from the cloud and conveyed to users on request via the Internet from a cloud database provider`s servers. Cloud databases can use cloud computing to attain optimized scaling, high accessibility, and multi-tenancy and actual resource provision. Databases advocating such applications require ACID (Atomicity, Consistency, Isolation and Durability) exclusive but these databases are hard to organize in the cloud computing system. The persistence of this paper is to review the necessities of the art in the cloud databases and multiple frameworks. It establishes how cloud database usually runs on a cloud-computing proposal, to approach the services specified by cloud computing system.

[1] Rajkumar Buyya et al., “Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility”, Future Generation Computer Systems, Vol. 25, Issue 6, June 2009, pp. 599-616.
[2] Jiyi Wu et al, “Recent Advances in Cloud Storage”, in Third International Symposium on Computer Science and Computational Technology (ISCSCT ’10), Jiaozuo, P. R. China, 14-15, August 2010, pp. 151-154.
[3] Database as a Service: Reference Architecture – An Overview, an Oracle White Paper on Enterprise Architecture September 2011 -dbaas-508111.pdf last accessed on May 28, 2012.
[4] last accessed on May 25, 2012.
[5] Database Management in the Cloud Computing Era,IT Manager Daily,
[6] Kaushik Donkena Subbarayudu Gannamani,” Performance Evaluation of Cloud Database and Traditional Database in terms of Response Time while Retrieving the Data ”, Master Thesis Electrical Engineering December 2012, EXT01.pdf
[7] Arpita Mathur, Mridul Mathur, Pallavi Upadhyay ,” Cloud Based Distributed Databases: The Future Ahead ”, International Journal on Computer Science and Engineering (IJCSE), 03-06-115.pdf
[8] Donald Kossmann, Tim Kraska, Simon Loesing, "An Evaluation of Alternative Architectures for Transaction Processing in the Cloud", SIGMOD’10, June 2010.
[9] Daniel J. Abadi et al., “Column-oriented Database Systems”, VLDB ’09.
[10] Stonebraker, et al., “C-Store: A Column-oriented DBMS”.
[11] Thakur Ramjiram Singh, “Cloud Computing: An Analysis”, International Journal of Enterprise Computing and Business Systems ”, Vol. 1, issue 2, July 2011, pp. 2230-8849.
[12] Rick Cattell, “Scalable SQL and NoSQL Data Stores”, ACM SIGMOD, Vol. 39, Issue 4, 2011, pp. 12-27.
[13] Arpita Mathur et al., “Cloud Based Distributed Databases: The Future Ahead”, International Journal on Computer Science and Engineering (IJCSE) Vol. 3, No. 6, 2011.
[14] Bo Peng, “Implementation Issues of A Cloud Computing Platform”, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering.
[15] Mihaela Ion, “Enforcing multi-user access policies to encrypted cloud databases”, IEEE International Symposium on Policies for Distributed Systems and Networks, 2011, pp.175-177.
[16] Maggiani, R. “Cloud computing is changing how we communicate”, IPCC 2009, 2009, pp. 1-4.
[17] last accessed on May 24, 2012.
[18] last accessed on May 24, 2012.
[19] last accessed on May 25, 2012.
[20] S. Ghemawat et al., “The Google File System”, inproceeding of 19th ACM Symp. Operating System Principles (SOSP 03), ACM Press, 2003, pp. 29–43.
[21] F. Chang et al., “Bigtable: A Distributed Storage System for Structured Data”, in 7th UsenixSymp. Operating Systems Design and Implementation (OSDI 06), Usenix Assoc., 2006, pp. 205–218.
[22] Dawei Jiang et al., “MAP-JOIN-REDUCE: Toward Scalable and Efficient Data Analysis on Large Clusters”, IEEE Transactions on Knowledge and Data Engineering,Vol. 23, No. 9, 2011.
[23] D. Borthakur, “The Hadoop Distributed File System: Architecture and Design, Apache Software Foundation”, last accessed on May 27, 2012.
[24] Troy Davis, “Cloud Computing Use Cases and Considerations”, Cloud Computing Talk.pdf last accessed on June 10, 2012.
[25] loud storage/last accessed on June 10, 2012.
[26] Brian Cooper et al., “Building a Cloud for Yahoo”, Bulletin of the IEEE Computer Society Technical Committee on Data Engineering, 2009.
[27] Giuseppe De Candia et al., “Dynamo: Amazon’s Highly Available Key-value Store”, in of 21st ACM Symposium onOperating System Principles, SOSP 2007, pp. 205-220.
[28] Jason Baker et al., “Megastore: Providing Scalable, Highly Available Storage for Interactive Services”, in 5th Biennial Conference on Innovative Data Systems Research (CIDR ’11), 2011, pp.223-234.
[29] last accessed onMay31, 2012.
[30] last accessed on May31, 2012
[31] computing/#sthash.lxMBnvaL.dpuf
[32] database/
[33] Security in Private Database Clouds, security-in-private-db-clouds-1733933.pdf, An Oracle White Paper July 2012
[34] Mohd Muntjir, Mohd Asadullah, Shabbir Hassan, Altaf Hussain, "Cloud database systems: A model conversion in databases", Proceedings of 2nd International Conference on Information Technology and Electronic Commerce (ICITEC), 20 December 2014, pp- 280-285

Cloud Database, Database framework, Cloud computing systems.