JCloudScale

Author:

Zabolotnyi Rostyslav1,Leitner Philipp2,Hummer Waldemar1,Dustdar Schahram1

Affiliation:

1. Distributed Systems Group, Vienna University of Technology, Vienna, Austria

2. Software Evolution & Architecture Lab, University of Zurich, Zurich, Switzerland

Abstract

Building Infrastructure-as-a-Service (IaaS) applications today is a complex, repetitive, and error-prone endeavor, as IaaS does not provide abstractions on top of virtual machines. This article presents JC loud S cale , a Java-based middleware for moving elastic applications to IaaS clouds, with minimal adjustments to the application code. We discuss the architecture and technical features, as well as evaluate our system with regard to user acceptance and performance overhead. Our user study reveals that JC loud S cale allows many participants to build IaaS applications more efficiently, compared to industrial Platform-as-a-Service (PaaS) solutions. Additionally, unlike PaaS, JC loud S cale does not lead to a control loss and vendor lock-in.

Funder

European Community’s Seventh Framework Programme

Publisher

Association for Computing Machinery (ACM)

Subject

Computer Networks and Communications

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. On the modeling of optimal and automatized cloud application deployment;Journal of Logical and Algebraic Methods in Programming;2019-10

2. Design and Application of a Service Outsourcing Cloud for the Insurance Industry;Proceedings of the 9th International Conference on Information Communication and Management;2019-08-23

3. Factors Affecting Cloud Infra-Service Development Lead Times: A Case Study at ING;2019 IEEE/ACM 41st International Conference on Software Engineering: Software Engineering in Practice (ICSE-SEIP);2019-05

4. Tools to Support SMEs to Migrate to the Cloud: Opportunities and Challenges;Advances in Intelligent Systems and Computing;2018

5. Optimized Deployment Plans for Platform as a Service Clouds;Companion Proceedings of the10th International Conference on Utility and Cloud Computing;2017-12-05

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