Article Fingerprint
ReserarchID
CSTB2D06M
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.
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): .
Crossref Journal DOI 10.17406/gjcst
Print ISSN 0975-4350
e-ISSN 0975-4172
Explore published articles in an immersive Augmented Reality environment. Our platform converts research papers into interactive 3D books, allowing readers to view and interact with content using AR and VR compatible devices.
Your published article is automatically converted into a realistic 3D book. Flip through pages and read research papers in a more engaging and interactive format.
Total Score: 108
Country: India
Subject: Global Journal of Computer Science and Technology - B: Cloud & Distributed
Authors: Dr. S. Rajesh, S. Swapna, P.Shylender Reddy (PhD/Dr. count: 1)
View Count (all-time): 309
Total Views (Real + Logic): 10392
Total Downloads (simulated): 2701
Publish Date: 2012 09, Wed
Monthly Totals (Real + Logic):
Introduction: Breast cancer (ICD-10 C50) is the leading neoplasm in
This paper attempted to assess theΒ attitudes of students in
Advances in technology have created the potential for a new
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.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.