Cloud based Autonomic service monitoring in an OpenFlow network

Levente Ilyes, Purdue University

Abstract

The area of Future Internet research focuses on developing a new network with similar magnitude as today's Internet but with more demanding and complex design goals and specifications. It strives to solve the issues identified in today's Internet, by capitalizing on the advantages of emerging new technologies in the area of computer networking such as OpenFlow, Autonomic computing or Cloud Computing. By combining these technologies and applying them together significant progress is made in the development of an enhanced, more complex, but also more secure, reliable and scalable Internet. This thesis focuses on the development of a complete system, designed with the new requirements of the Future Internet in mind, which builds on OpenFlow, Autonomic Computing and Cloud Computing technologies, and aims to provide, monitor and enhance the very popular video streaming service of today's Internet. One of the main goals is to show, how such a system can function under unstable, changing network conditions, how it can dynamically learn its environment recognize potential service degradation problems and react to these in an autonomic manner without the need for human intervention.

Degree

M.S.E.

Advisors

Anan, Purdue University.

Subject Area

Engineering|Electrical engineering|Information science

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