Neural Networks and Rules-based Systems used to Find Rational and Scientific Correlations between being Here and Now with Afterlife Conditions
Neural Networks and Rules-based Systems used to Find Rational and
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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.
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
The methods for personal identification and authentication are no exception.
The methods for personal identification and authentication are no exception.
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): 277
Total Views (Real + Logic): 10318
Total Downloads (simulated): 2725
Publish Date: 2012 09, Wed
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Neural Networks and Rules-based Systems used to Find Rational and
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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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