AppScale: Scalable and Open AppEngine Application Development and Deployment

Navraj Chohan; Chris Bunch; Sydney Pang; Chandra Krintz; Nagy Mostafa; Sunil Soman; Rich Wolski

Cloud Computing. First International Conference, CloudComp 2009 Munich, Germany, October 19–21, 2009 Revised Selected Papers

Research Article

AppScale: Scalable and Open AppEngine Application Development and Deployment

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@INPROCEEDINGS{10.1007/978-3-642-12636-9_4,
    author={Navraj Chohan and Chris Bunch and Sydney Pang and Chandra Krintz and Nagy Mostafa and Sunil Soman and Rich Wolski},
    title={AppScale: Scalable and Open AppEngine Application Development and Deployment},
    proceedings={Cloud Computing. First International Conference, CloudComp 2009 Munich, Germany, October 19--21, 2009 Revised Selected Papers},
    proceedings_a={CLOUDCOMP},
    year={2012},
    month={5},
    keywords={Cloud Computing PaaS Open-Source Fault Tolerance Utility Computing Distributed Systems},
    doi={10.1007/978-3-642-12636-9_4}
}

Navraj Chohan
Chris Bunch
Sydney Pang
Chandra Krintz
Nagy Mostafa
Sunil Soman
Rich Wolski
Year: 2012
AppScale: Scalable and Open AppEngine Application Development and Deployment
CLOUDCOMP
Springer
DOI: 10.1007/978-3-642-12636-9_4

Navraj Chohan¹, Chris Bunch¹, Sydney Pang¹, Chandra Krintz¹, Nagy Mostafa¹, Sunil Soman¹, Rich Wolski¹

1: University of California

Abstract

We present the design and implementation of AppScale, an open source extension to the Google AppEngine (GAE) Platform-as- a-Service (PaaS) cloud technology. Our extensions build upon the GAE SDK to facilitate distributed execution of GAE applications over virtualized cluster resources, including Infrastructure-as-a-Service (IaaS) cloud systems such as Amazon’s AWS/EC2 and . AppScale provides a framework with which researchers can investigate the interaction between PaaS and IaaS systems as well as the inner workings of, and new technologies for, PaaS cloud technologies using real GAE applications.

Keywords: Cloud Computing PaaS Open-Source Fault Tolerance Utility Computing Distributed Systems

Published: 2012-05-28

: http://dx.doi.org/10.1007/978-3-642-12636-9_4