A framework for dynamic adaptation of power-aware server clusters

ABSTRACT

This paper presents a framework to support dynamic adaptation of applications, which consists of a reusable infrastructure with standard elements to monitor and adapt running applications, and a contract-based adaptation language to enable one to express high-level adaptation policies. The proposed framework is used to introduce dynamic adaptation capabilities into a server cluster infrastructure, intended to address power and performance management concerns. By experimental evaluation, we demonstrate that our approach is useful and effective in providing the required support for describing and deploying typical power management contracts.

REFERENCES

• 1: Luciano Bertini, Julius Leite, and Daniel Mossé. Dynamic configuration of web server clusters with QoS control. In WIP Session of the 20th Euromicro Conference on Real-Time Systems, 2008.
• 2: Ricardo Bianchini , Ram Rajamony, Power and Energy Management for Server Systems, Computer, v.37 n.11, p.68-74, November 2004 [doi>10.1109/MC.2004.217]
• 3: Sara Bouchenak, Noel De Palma, Daniel Hagimont, and Christophe Taton. Autonomic management of clustered applications. In IEEE International Conference on Cluster Computing, 2006.
• 4: Shang-Wen Cheng , David Garlan, Rainbow: cost-effective software architecture-based self-adaptation, Carnegie Mellon University, Pittsburgh, PA, 2008
• 5: Shang-Wen Cheng and David Garlan. Handling uncertainty in autonomic systems. In International Workshop on Living with Uncertainties, Atlanta, GA, USA, November 2007.
• 6: E. N. Elnozahy, Michael Kistler, and Ramakrishnan Rajamony. Energy-efficient server clusters. In Power-Aware Computer Systems, volume 2325 of Lecture Notes in Computer Science, pages 179--197, 2003.
• 7: Lawrence Berkeley National Laboratory. The internet traffic archive, http://ita.ee.lbl.gov/, April 2008.
• 8: David Mosberger , Tai Jin, httperf—a tool for measuring web server performance, ACM SIGMETRICS Performance Evaluation Review, v.26 n.3, p.31-37, Dec. 1998 [doi>10.1145/306225.306235]
• 9: National Instruments Corporation. NI USB-6008/6009 user guide and specification. http://www.ni.com/pdf/manuals/371303e.pdf, July 2008.
• 10: Vahe V. Poladyan , David Garlan , Mary Shaw, Tailoring configuration to user's tasks under uncertainty, Carnegie Mellon University, Pittsburgh, PA, 2008
• 11: Cosmin Rusu , Alexandre Ferreira , Claudio Scordino , Aaron Watson, Energy-Efficient Real-Time Heterogeneous Server Clusters, Proceedings of the 12th IEEE Real-Time and Embedded Technology and Applications Symposium, p.418-428, April 04-07, 2006 [doi>10.1109/RTAS.2006.16]
• 12: Alexandre Sztajnberg and Orlando Loques. Describing and deploying self-adaptive applications. In 1st Latin American Autonomic Computing Symposium, pages 14--20, July 2006.
• 13: The Apache Software Foundation. Apache HTTP server version 2.2. http://httpd.apache.Org/docs/2.2/, 2008.

INDEX TERMS

Primary Classification:
  D. Software
  D.2 SOFTWARE ENGINEERING
      D.2.m Miscellaneous

General Terms:
Design, Experimentation, Languages, Management

Keywords:
dynamic adaptation, framework, power management, server clusters