Making control loops explicit when architecting self-adaptive systems

Proceeding of the 2nd International Workshop on Self-Organizing Architectures, SOAR '10, Co-located with ICAC'10

Volumn , Issue , 2010, Pages 21-28

  Hebig, Regina ^a   Giese, Holger ^a   Becker, Basil ^a  

^a UNIVERSITY OF POTSDAM   (Germany)

Author keywords

feedback control; self adaptive systems; uml profile

Indexed keywords

ARCHITECTURAL LEVELS; CONTROL ELEMENTS; CONTROL LOOP; CORE SYSTEMS; DECENTRALIZED ARCHITECTURE; DESIGN CONTROL; LEVEL OF ABSTRACTION; MULTIPLE CONTROL LOOPS; SELF ADAPTATION; SELF-ADAPTIVE SYSTEM; UML MODEL; UML MODELING; UML PROFILE; UML PROFILES; WARNING SIGNALS;

COMPUTER SOFTWARE; FEEDBACK CONTROL; REMOTE CONTROL; SOFTWARE ARCHITECTURE; UNIFIED MODELING LANGUAGE;

ADAPTIVE CONTROL SYSTEMS;

EID: 77954700014     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1809036.1809042     Document Type: Conference Paper

References (15)

1. Autonomic Computing: IBM's Perspective on the State of Information Technology. International Business Machines Corporation, 2001. http://www.research.ibm.com/autonomic/manifesto/autonomic computing.pdf.
2. Y. Brun, G. D. M. Serugendo, C. Gacek, H. M. Giese, H. M. Kienle, M. Litoiu, H. A. Müller, M. Pezzè, and M. Shaw. Engineering Self-Adaptive Systems through Feedback Loops. In Software Engineering for Self-Adaptive Systems, volume 5525 of Lecture Notes in Computer Science, pages 48-70. Springer, 2009.
3. D. Garlan, S.-W. Cheng, A.-C. Huang, B. Schmerl, and P. Steenkiste. Rainbow: Architecture-Based Self-Adaptation with Reusable Infrastructure. Computer, 37(10):46-54, 2004.
4. H. Giese, M. Tichy, and D. Schilling. Compositional Hazard Analysis of UML Components and Deployment Models. In Proc. of the 23rd International Conference on Computer Safety, Reliability and Security, volume 3219 of Lecture Notes in Computer Science (LNCS). Springer Verlag, September 2004.
5. R. Hebig. Modeling of Feedback in Self-Adaptive Systems. Master's thesis, Hasso-Plattner-Institut für Softwaresystemtechnik, 2009.
6. J. Hellerstein, Y. Diao, S. Parekh, and D. Tilbury. Control engineering for computing systems - industry experience and research challenges. Control Systems Magazine, IEEE, 25(6):56-68, 2005.
7. J. Kephart and D. Chess. The Vision of Autonomic Computing. IEEE Computer, 36(1):41-50, 2003.
8. M. M. Kokar, K. Baclawski, and Y. A. Eracar. Control Theory-Based Foundations of Self-Controlling Software. Intelligent Systems and their Applications, 14(3):37-45, 1999.
9. J. Kramer and J. Magee. Self-Managed Systems: an Architectural Challenge. In Proc. of the ICSE Workshop on Future of Software Engineering, pages 259-268. IEEE, 2007.
10. M. Litoiu, M. Woodside, and T. Zheng. Hierarchical model-based autonomic control of software systems. SIGSOFT Softw. Eng. Notes, 30(4):1-7, 2005.
11. N. Medvidovic, D. Rosenblum, D. F. Redmiles, and J. E. Robbins. Modeling software architectures in the Unified Modeling Language. ACM Trans. Softw. Eng. Methodol., 11(1):2-57, 2002.
12. H. Müller, M. Pezzè, and M. Shaw. Visibility of control in adaptive systems. In ULSSIS '08: Proc. of the 2nd international workshop on Ultra-large-scale software-intensive systems, pages 23-26, New York, NY, USA, 2008. ACM.
13. P. Oreizy, N. Medvidovic, and R. N. Taylor. Runtime Software Adaptation: Framework, Approaches, and Styles. In In Companion of the 30th Intl. Conference on Software Engineering, pages 899-910. ACM, 2008.
14. M. Salehie and L. Tahvildari. Self-adaptive software: Landscape and research challenges. ACM Trans. Auton. Adapt. Syst., 4(2):1-42, 2009.
15. M. Shaw. Beyond objects: A software design paradigm based on process control. ACM Software Engineering Notes, 20:20-1, 1995.