Big data and cloud computing
- 1 September 2010
- journal article
- Published by Association for Computing Machinery (ACM) in Proceedings of the VLDB Endowment
- Vol. 3 (1-2) , 1647-1648
- https://doi.org/10.14778/1920841.1921063
Abstract
Cloud computing is an extremely successful paradigm of service oriented computing and has revolutionized the way computing infrastructure is abstracted and used. Three most popular cloud paradigms include: Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS). The concept however can also be extended to Database as a Service and many more. Elasticity, pay-per-use, low upfront investment, low time to market , and transfer of risks are some of the major enabling features that make cloud computing a ubiquitous paradigm for deploying novel applications which were not economically feasible in a traditional enterprise infrastructure settings. This has seen a proliferation in the number of applications which leverage various cloud platforms, resulting in a tremendous increase in the scale of the data generated as well as consumed by such applications. Scalable database management systems (DBMS) -- both for update intensive application workloads, as well as decision support systems for descriptive and deep analytics -- are thus a critical part of cloud infrastructures.This publication has 7 references indexed in Scilit:
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