Abstract
The problem of self-optimization and adaptation in the context of customizable systems is becoming increasingly important with the emergence of complex software systems and unpredictable execution environments. Here, a general framework for automatically deciding on when and how to adapt a system whenever it deviates from the desired behavior is presented. In this framework, the adaptation targets of the system are described in terms of a high-level policy that establishes goals for a set of performance indicators. The decision process is based on information provided independently for each service that describes the available adaptations, their impact on performance indicators, and any limitations or requirements. The technique consists of both offline and online phases. Offline, rules are generated specifying service adaptations that may help to achieve the specified goals when a given change in the execution context occurs. Online, the corresponding rule is evaluated when a change occurs to choose which adaptations to perform. Experimental results using a prototype framework in the context of a web-based application demonstrate the effectiveness of this approach.
This work was funded by REDICO project (PTDC/EIA/71752/2006).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Jung, G., Joshi, K., Hiltunen, M., Schlichting, R., Pu, C.: Generating adaptation policies for multi-tier applications in consolidated server environments. In: ICAC 2008, June 2008, pp. 23–32 (2008)
Diao, Y., Hellerstein, J.L., Parekh, S., Bigus, J.P.: Managing web server performance with autotune agents. IBM Syst. J. 42(1), 136–149 (2003)
Astrom, K.: Adaptive feedback control. Proceedings of the IEEE 75(2), 185–217 (1987)
Zhang, R., Lu, C., Abdelzaher, T.F., Stankovic, J.A.: Controlware: A middleware architecture for feedback control of software performance. In: ICDCS 2002, Washington, DC, USA, p. 301. IEEE Computer Society, Los Alamitos (2002)
Bahati, R.M., Bauer, M.A., Vieira, E.M.: Policy-driven autonomic management of multi-component systems. In: CASCON 2007, pp. 137–151. ACM, New York (2007)
Bridges, P., Hiltunen, M., Schlichting, R.: Cholla: A framework for composing and coordinating system software adaptations. IEEE Transactions on Computers (to appear, 2009)
van Renesse, R., Birman, K., Hayden, M., Vaysburd, A., Karr, D.: Building adaptive systems using ensemble. Softw. Pract. Exper. 28(9), 963–979 (1998)
Chen, W.K., Hiltunen, M., Schlichting, R.: Constructing adaptive software in distributed systems. In: ICDCS 2001, April 2001, pp. 635–643 (2001)
Rosa, L., Lopes, A., Rodrigues, L.: Modelling adaptive services for distributed systems. In: SAC 2008, pp. 2174–2180. ACM, New York (2008)
Mazzoni, F.: Efficient provisioning and adaptation of Web-based services. PhD in computer science, Università di Modena e Reggio Emilia (2006)
Sivasubramanian, S., Pierre, G., van Steen, M., Alonso, G.: Analysis of caching and replication strategies for web applications. IEEE Internet Computing 11(1), 60–66 (2007)
Rosa, L., Rodrigues, L., Lopes, A., Hiltunen, M., Schlichting, R.: From local impact functions to global adaptation of service compositions. Technical report (2009)
Souders, S.: High-performance web sites. Commun. ACM 51(12), 36–41 (2008)
Abdelzaher, T., Bhatti, N.: Web content adaptation to improve server overload behavior. In: WWW8 / Computer Networks, pp. 1563–1577 (1999)
Iaccarino, G., Malandrino, D., Scarano, V.: Personalizable edge services for web accessibility. In: W4A 2006, pp. 23–32. ACM, New York (2006)
Grieco, R., Malandrino, D., Mazzoni, F., Riboni, D.: Context-aware provision of advanced internet services. In: PerCom Workshops 2006, March 2006, p. 603 (2006)
Apache, http://httpd.apache.org
Pylot, http://www.pylot.org
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Rosa, L., Rodrigues, L., Lopes, A., Hiltunen, M., Schlichting, R. (2009). From Local Impact Functions to Global Adaptation of Service Compositions. In: Guerraoui, R., Petit, F. (eds) Stabilization, Safety, and Security of Distributed Systems. SSS 2009. Lecture Notes in Computer Science, vol 5873. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-05118-0_41
Download citation
DOI: https://doi.org/10.1007/978-3-642-05118-0_41
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-05117-3
Online ISBN: 978-3-642-05118-0
eBook Packages: Computer ScienceComputer Science (R0)