Proceedings Article10.1109/CSAE.2011.5952497
Cloud computing and its key techniques
Xu Wang,Beizhan Wang,Jing Huang +2 more
- 10 Jun 2011
- Vol. 2, pp 404-410
175
TL;DR: This paper described what is cloud computing and took Google's cloud computing techniques as an example, summed up key techniques, such as data storage technology, data management technology, and programming model and task scheduling model, used in cloud computing, and some example of cloud computing vendors were illustrated and compared.
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Abstract: With the development of parallel computing, distributed computing, grid computing, a new computing model appeared, called cloud computing. It aims to share data, calculations, and services transparently among users of a massive grid. It became a hot issue for its advantages such as “reduce costs”, “increase business flexibility” and/or “provide business continuity”. In this paper, we described what is cloud computing and took Google's cloud computing techniques as an example, summed up key techniques, such as data storage technology (Google File System), data management technology (BigTable), as well as programming model and task scheduling model (Map-Reduce), used in cloud computing, and then some example of cloud computing vendors were illustrated and compared.
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Cluster, grid and cloud computing: A detailed comparison
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Data Security, Privacy, Availability and Integrity in Cloud Computing: Issues and Current Solutions
TL;DR: Those issues that are preventing people from adopting the cloud are presented and a survey on solutions that have been done to minimize risks of these issues are given.
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References
•Journal Article
Above the Clouds: A Berkeley View of Cloud Computing
Michael Armbrust,Armando Fox,Rean Griffith,Anthony D. Joseph,Randy H. Katz,Andy Konwinski,Gunho Lee,David A. Patterson,Ariel Rabkin,Ion Stoica,Matei Zaharia +10 more
TL;DR: This work focuses on SaaS Providers (Cloud Users) and Cloud Providers, which have received less attention than SAAS Users, and uses the term Private Cloud to refer to internal datacenters of a business or other organization, not made available to the general public.
The Google file system
Sanjay Ghemawat,Howard Gobioff,Shun-Tak Albert Leung +2 more
- 19 Oct 2003
TL;DR: This paper presents file system interface extensions designed to support distributed applications, discusses many aspects of the design, and reports measurements from both micro-benchmarks and real world use.
Bigtable: A Distributed Storage System for Structured Data
Fay W. Chang,Jeffrey Dean,Sanjay Ghemawat,Wilson C. Hsieh,Deborah A. Wallach,Michael Burrows,Tushar Deepak Chandra,Andrew Fikes,Robert E. Gruber +8 more
TL;DR: The simple data model provided by Bigtable is described, which gives clients dynamic control over data layout and format, and the design and implementation of Bigtable are described.
3.5K
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
TL;DR: In this article, the authors present a 21st century vision of computing, identify various computing paradigms promising to deliver the vision of cloud utilities, define cloud computing and provide the architecture for creating market-oriented clouds by leveraging technologies such as VMs.
Market-Oriented Cloud Computing: Vision, Hype, and Reality for Delivering IT Services as Computing Utilities
Rajkumar Buyya,Chee Shin Yeo,Srikumar Venugopal +2 more
- 25 Sep 2008
TL;DR: The need for convergence of competing IT paradigms for delivering the 21st century vision of computing is concluded.
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