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General Information
    • ISSN: 2301-3559
    • Frequency: Quarterly
    • DOI: 10.18178/LNSE
    • Editor-in-Chief: Prof. Jemal Antidze
    • Executive Editor: Ms. Nina Lee
    • Abstracting/ Indexing: EI (INSPEC, IET), Electronic Journals Library,  Ulrich's Periodicals Directory, International Computer Science Digital Library (ICSDL), ProQuest and Google Scholar.
    • E-mail: lnse@ejournal.net
Prof. Jemal Antidze
I. Vekua Scientific Institute of Applied Mathematics
Tbilisi State University, Georgia
I'm happy to take on the position of editor in chief of LNSE. We encourage authors to submit papers concerning any branch of Software Engineering.

LNSE 2013 Vol.1(1): 44-48 ISSN:2301-3559
DOI: 10.7763/LNSE.2013.V1.10

Evaluating Auto Scalable Application on Cloud

Takashi Okamoto

Abstract—Cloud computing enables dynamic scaling out of system resources, depending on workloads and data volume. In addition to the conventional scaling-out mechanisms for Web servers, KVS-based scaling-out mechanisms for database servers are drawing attention.
However, there are not many discussions about approaches for automatically scaling out Web servers and database servers, and scaling in database servers that have less workloads and data volume.
In this paper, we present our system and its test results for scaling out and scaling in Web servers and database servers on a cloud-computing platform. Our test results show that workloads on a cloud-computing platform affect applications. We also successfully completed testing of live scaling in of database servers.

Index Terms—Cloud, auto scaleout, web application

Takashi Okamoto is with the System Platforms Sector, Nttdata Corporation, Tokyo, Japan. (e-mail: okamototk@nttdata.co.jp).


Cite: Takashi Okamoto, "Evaluating Auto Scalable Application on Cloud," Lecture Notes on Software Engineering  vol. 1, no. 1, pp. 44-48, 2013.

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