Economical Efficient for High Scalable Applications

Sreedevi Pogula; M. Ganesh Kumar

Economical Efficient for High Scalable Applications

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Sreedevi Pogula

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M. Ganesh Kumar

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§ Jawaharlal Nehru Technological University, Hyderabad

Economical Efficient for High Scalable Applications

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Abstract

Service-oriented architecture (SOA) paradigm for the purpose of large-scale applications offers meaningful cost savings by rework existing services. However, the high oddity of client appeal and the allocated character of the access may depreciate service response time and chance. Static cloning of components in database for placing load spikes need efficient resource planning and also uses the cloud infrastructure. Moreover, no service chance gives trust is provided in situations like datacenter crashes. In this paper, we explore a cost-efficient usage for dynamic and geographically-diverse cloning of elements in a cloud computing infrastructure that perfectly adapts to load differences and provides service chance guarantees. When comes to economic level, components hire server opportunities and clones or trashes themselves based to self optimizing situations. We proved in real time applications that such an access better in response time even full cloning of the components in all servers, while providing service chance guarantees under failures.

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.

How to Cite This Article

Sreedevi Pogula, M. Kumar. 2013. "Economical Efficient for High Scalable Applications". Global Journal of Computer Science and Technology GJCST-SPECIAL Volume 13 (GJCST Volume 13 Issue Special1).

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GJCST Volume 13 Issue Special1

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Submission ReceivedDecember 15, 2012
Peer Review Double Blind
Handling Editor
Accepted January 2, 2013
Published January 15, 2013

Version of record

v1.2

Issue date

August 25, 2013

Language

English

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Article Matrices

Total Score: 142

Country: India

Subject: Global Journal of Computer Science and Technology

Authors: Sreedevi Pogula, M. Ganesh Kumar (PhD/Dr. count: 0)

View Count (all-time): 272

Total Views (Real + Logic): 1210

Total Downloads (simulated): 104

Publish Date: 2013 01, Tue

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Total Views: 1.2K

Total Downloads: 104

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