Data as a Service (Daas) in Cloud Computing

1
Dr. S. Rajesh
Dr. S. Rajesh
2
S. Swapna
S. Swapna
3
P.Shylender Reddy
P.Shylender Reddy
1 OSMANIA UNIVERSITY

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GJCST Volume 12 Issue B11

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Data has become the enabling technology for many of the recent innovations. “More data trumps smarter algorithms” has been the mantra behind this revolution in computing. Given the rate at which the data is produced, there is need for scalable solutions to extract information out of them. Allowing the data to be stored in the cloud and be accessed without geographical and scalability limitations will remove many bottlenecks in bringing data-oriented innovations. Current cloud architecture solves the issues of accessibility and scalability, but poses several new challenges such as automatic management of the service, pricing the data, and security of the data. This talk will include several techniques to address these challenges using automatic physical design, servicebased pricing, and cryptographic mechanisms.

8 Cites in Articles

References

  1. Dyan Machan (2009). DaaS: The New Information Goldmine.
  2. (2010). Data as a Service: Are We in the Clouds? 6.
  3. Jill Dyche (2010). E-Data : Turning Data into Information with Data Warehousing, Jill Dyche. (Foreword by Martha Rogers, Ph.D.) Addison-Wesly Information Technology Series, 2000 ISBN : 0-201-65780-5.
  4. Statistical Data as a Service and Internet Mashups.
  5. Zoltan Nagy United Nations.
  6. Kurt Cagle (2010). Why Data as a Service Will Reshape EAI.
  7. (2010). Supplemental Information 1: Raw data retrieved from our search in Web of Science..
  8. Tejaswi Redkar (2009). Windows Azure Storage Part I β€” Blobs.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

Dr. S. Rajesh. 2012. \u201cData as a Service (Daas) in Cloud Computing\u201d. Global Journal of Computer Science and Technology - B: Cloud & Distributed GJCST-B Volume 12 (GJCST Volume 12 Issue B11): .

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GJCST Volume 12 Issue B11
Pg. 25- 29
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Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

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September 26, 2012

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English

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Data has become the enabling technology for many of the recent innovations. “More data trumps smarter algorithms” has been the mantra behind this revolution in computing. Given the rate at which the data is produced, there is need for scalable solutions to extract information out of them. Allowing the data to be stored in the cloud and be accessed without geographical and scalability limitations will remove many bottlenecks in bringing data-oriented innovations. Current cloud architecture solves the issues of accessibility and scalability, but poses several new challenges such as automatic management of the service, pricing the data, and security of the data. This talk will include several techniques to address these challenges using automatic physical design, servicebased pricing, and cryptographic mechanisms.

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Data as a Service (Daas) in Cloud Computing

Dr. S. Rajesh
Dr. S. Rajesh OSMANIA UNIVERSITY
S. Swapna
S. Swapna
P.Shylender Reddy
P.Shylender Reddy

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