International Journal of Information Technology and Computer Science (IJITCS)
IJITCS Vol. 9, No. 4, 8 Apr. 2017
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Databases in Cloud Computing: A Literature Review
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Index Terms
Cloud, Database, Cloud Computing, Cloud Database, Cloud Service
Abstract
Information Technology industry has been using the traditional relational databases for about 40 years. However, in the most recent years, there was a substantial conversion in the IT industry in terms of commercial applications. Stand-alone applications have been replaced with electronic applications, committed servers with various appropriate servers and devoted storage with system storage. Lower fee, flexibility, the model of pay-as-you-go are the main reasons, which caused the distributed computing are turned into reality. This is one of the most significant revolutions in Information Technology, after the emergence of the Internet. Cloud databases, Big Table, Sherpa, and SimpleDB are getting to be more familiar to communities. They highlighted the obstacles of current social databases in terms of usability, flexibility, and provisioning. Cloud databases are essentially employed for information-escalated applications, such as storage and mining of huge data or commercial data. These applications are flexible and multipurpose in nature. Numerous value-based information administration applications, like banking, online reservation, e-trade and inventory administration, etc. are produced. Databases with the support of these types of applications have to include four important features: Atomicity, Consistency, Isolation, and Durability (ACID), although employing these databases is not simple for using in the cloud. The goal of this paper is to find out the advantages and disadvantages of databases widely employed in cloud systems and to review the challenges in developing cloud databases.
Cite This Paper
Harrison John Bhatti, Babak Bashari Rad, "Databases in Cloud Computing: A Literature Review", International Journal of Information Technology and Computer Science(IJITCS), Vol.9, No.4, pp.9-17, 2017. DOI:10.5815/ijitcs.2017.04.02
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