Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/238077

Title

Dynamic performance management in multi-tenanted business process servers using nonlinear control

Author(s)

Patikirikorala, Tharindu;  Kumara, Indika;  Colman, Alan;  Han, Jun;  Wang, Liuping;  Weerasiri, Denis;  Ranasinghe, Waruna

Abstract

The methodologies to develop multi-tenanted architectures have been investigated in the recent literature due to the popularity of cloud computing. A number of challenges need to be overcome if multitenanted architectures are to be effective and efficient. Among the challenges is the management of performance properties while effectively sharing the limited resources between the tenants. This work presents an approach to design such a management system for a multi-tenanted business process server. This approach not only enables performance to be maintained at different levels for different tenants depending on their priorities, but also autonomously detects the overloads of aggressive tenants and dynamically changes the control objectives to safeguard the business operations of other tenants. The novelty of the proposed approach is the use of the nonlinear feedback control. The experiment results indicate that the proposed nonlinear control approach achieves the objectives much better compared to the existing fixed and linear control techniques.

Publication type

Conference paper

Research centre

Swinburne University of Technology

Source

Lecture Notes in Computer Science: proceedings of the 10th International Conference on Service-Oriented Computing (ICSOC 2012), Shanghai, China, 12-15 November 2012 / Chengfei Liu, Heiko Ludwig, Farouk Toumani and Qi Yu (eds.), Vol. 7636, pp. 206-221

Publication year

2012

FOR Code(s)

08 Information and Computing Sciences

Keyword(s)

Business process server;  Business processes;  Management systems;  Multitenanted architectures;  Nonlinear feedback control;  Nonlinearity;  Performance management;  Web servers

Publisher

Springer

ISSN

0302-9743 (series ISSN)

ISBN

9783642343209, 3642343201

Publisher URL

http://link.springer.com/book/10.1007/978-3-642-34321-6/

Copyright

Copyright © Springer-Verlag Berlin Heidelberg 2012.

Peer reviewed