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Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach

Zhao, Zhiming, Martin, Paul, Wang, Junchao, Taal, Ari, Jones, Andrew Clifford, Taylor, Ian, Stankovski, Vlado, Vega, Ignacio Garcia, Suciu, George, Ulisses, Alexandre and de Laat, Cees 2015. Developing and operating time critical applications in clouds: the state of the art and the SWITCH approach. Procedia Computer Science 68 , pp. 17-28. 10.1016/j.procs.2015.09.220

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Abstract

Cloud environments can provide virtualized, elastic, controllable and high quality on-demand services for supporting complex distributed applications. However, the engineering methods and software tools used for developing, deploying and executing classical time critical applications do not, as yet, account for the programmability and controllability provided by clouds, and so time critical applications cannot yet benefit from the full potential of cloud technology. This paper reviews the state of the art of technologies involved in developing time critical cloud applications, and presents the approach of a recently funded EU H2020 project: the Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications (SWITCH). SWITCH aims to improve the existing development and execution model of time critical applications by introducing a novel conceptual model—the application-infrastructure co-programming and control model—in which application QoS and QoE, together with the programmability and controllability of cloud environments, is included in the complete application lifecycle.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Computer Science & Informatics
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Uncontrolled Keywords: Time critical applications; Cloud; quality of user experience; infrastructure programming; self-adaptable system
Publisher: Elsevier
ISSN: 1877-0509
Funders: EC (Horizon 2020)
Date of First Compliant Deposit: 30 March 2016
Date of Acceptance: 2015
Last Modified: 12 Mar 2019 17:03
URI: http://orca.cf.ac.uk/id/eprint/84842

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