General-purpose autonomic computing

Autonomic Computing and Networking

Volumn , Issue , 2009, Pages 3-30

  Calinescu, Radu ^a  

^a UNIVERSITY OF OXFORD   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67650164064     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1007/978-0-387-89828-5_1     Document Type: Chapter

References (45)

1. J. Arwe et al. Service Modeling Language, version 1.0, March 2007. http://www.w3.org/Submission/2007/SUBM-sml-20070321.
2. C. M. Bishop. Pattern Recognition and Machine Learning. Springer, 2007.
3. E. Bruneton et al. The Fractal component model and its support in Java. Softw. Pract. Exper., 36:1257-1284, 2006.
4. R. Calinescu. Challenges and best practices in policy-based autonomic architectures. In Proc. 3rd IEEE Intl. Symp. Dependable, Autonomic and Secure Computing, pages 65-74, 2007.
5. R. Calinescu. Model-driven autonomic architecture. In Proc. 4th IEEE Intl. Conf. Autonomic Computing, June 2007.
6. R. Calinescu. Towards a generic autonomic architecture for legacy resource management. In K. Elleithy, editor, Innovations and Advanced Techniques in Systems, Computing Sciences and Software Engineering, pages 410-415, Springer, 2008.
7. R. Calinescu. Implementation of a generic autonomic framework. In D. Greenwood et al., editor, Proc. 4th Intl. Conf. Autonomic and Autonomous Systems, pages 124-129, March 2008.
8. M. Devarakonda et al. Policy-based autonomic storage allocation. In Self-Managing Distributed Systems, volume 2867 of LNCS, pages 143-154. Springer, 2004.
9. S. Dobson et al. A survey of autonomic communications. ACM Transactions on Autonomous and Adaptive Systems, 1(2):223-259, December 2006.
10. D. Gracanin et al. Towards a model-driven architecture for autonomic systems. In Proc. 11th IEEE Intl. Conf. Engineering of Computer-Based Systems, pages 500-505, 2004.
11. B. Haverkort et al. On the use of model checking techniques for dependability evaluation. In Proc. 19th IEEE Symp. Reliable Distributed Systems, pages 228-237, October 2000.
12. M. Hinchey et al. Modeling for NASA autonomous nano-technology swarm missions and model-driven autonomic computing. In Proc. 21st Intl. Conf. Advanced Networking and Applications, pages 250-257, 2007.
13. M. G. Hinchey and R. Sterritt. Self-managing software. Computer, 39(2):107-109, Feb. 2006.
14. A. Hinton et al. PRISM: A tool for automatic verification of probabilistic systems. In H. Hermanns and J. Palsberg, editors, Proc. 12th Intl. Conf. Tools and Algorithms for the Construction and Analysis of Systems, volume 3920 of LNCS, pages 441-444. Springer, 2006.
15. IBM Corporation. An architectural blueprint for autonomic computing, 2004. http://www-03.ibm.com/autonomic/pdfs/ACBP2 2004-10-04.pdf.
16. IBM Corporation. Autonomic integrated development environment, April 2006. http://www.alphaworks.ibm.com/tech/aide.
17. D. N. Jansen et al. How fast and fat is your probabilistic model checker? An experimental comparison. In K. Yorav, editor, Hardware and Software: Verification and Testing, volume 4489 of LNCS, pages 69-85. Springer, 2008.
18. G. Kaiser et al. Kinesthetics extreme: An external infrastructure for monitoring distributed legacy systems. In Proc. of the 5th Annual Intl. Active Middleware Workshop, June 2003.
19. H. Kasinger and B. Bauer. Towards a model-driven software engineering methodology for organic computing systems. In Proc. 4th Intl. Conf. Comput. Intel., pages 141-146, 2005.
20. J. O. Kephart and D. M. Chess. The vision of autonomic computing. IEEE Computer Journal, 36(1):41-50, January 2003.
21. S. Kikuchi et al. Policy verification and validation framework based on model checking approach. In Proc. 4th IEEE Intl. Conf. Autonomic Computing, June 2007.
22. M. Kwiatkowska. Quantitative verification: Models, techniques and tools. In Proc. 6th Joint Meeting of the European Software Engineering Conf. and the ACM SIGSOFT Symp. Foundations of Software Engineering, pages 449-458. ACM Press, September 2007.
23. M. Kwiatkowska et al. Stochastic model checking. In M. Bernardo and J. Hillston, editors, Formal Methods for the Design of Computer, Communication and Software Systems: Performance Evaluation (SFM'07), volume 4486 of LNCS, pages 220-270. Springer, 2007.
24. C. Lefurgy et al. Server-level power control. In Proc. 4th IEEE Intl. Conf. Autonomic Computing, June 2007.
25. T. Lenard and D. Britton. The Digital Economy Factbook. The Progress and Freedom Foundation, 2006.
26. Wen-Syan Li et al. Load balancing for multi-tiered database systems through autonomic placement of materialized views. In Proc. 22nd IEEE Intl. Conf. Data Engineering, April 2006.
27. Microsoft Corporation. Xml schema definition tool (xsd.exe), 2007. http://msdn2.microsoft.com/en-us/library/x6c1kb0s (VS.80).aspx.
28. Microsoft Corporation. System Definition Model overview, April 2004. http://download.microsoft.com/download/b/3/8/b38239c7-2766-4632-9b13- 33cf08fad522/sdmwp. doc.
29. B. Moore. Policy Core Information Model (PCIM) extensions, January 2003. IETF RFC 3460, http://www.ietf.org/rfc/rfc3460.txt.
30. R. Murch. Autonomic Computing. IBM Press, 2004.
31. B. Murray et al. Web Services Distributed Management: MUWS primer, February 2006. OASIS WSDM Committee Draft, http://www.oasis-open.org/committees/ download.php/17000/wsdm-1.0-muws-primer-cd-01.doc.
32. OASIS. Web Services Resource Metadata 1.0, November 2006.
33. M. Parashar and S. Hariri. Autonomic Computing: Concepts, Infrastructure & Applications. CRC Press, 2006.
34. J. Parekh et al. Retrofitting autonomic capabilities onto legacy systems. Cluster Computing, 9(2):141-159, April 2006.
35. J. Pena et al. A model-driven architecture approach for modeling, specifying and deploying policies in autonomous and autonomic systems. In Proc. 2nd IEEE Intl. Symp. Dependable, Autonomic and Secure Computing, pages 19-30, 2006.
36. PRISM Case Studies: Dynamic Power Management. http://www. prismmodelchecker.org/casestudies/power.php.
37. Q. Qiu et al. Stochastic modeling of a power-managed system: construction and optimization. In Proc. Intl. Symp. Low Power Electronics and Design, pages 194-199. ACM Press, 1999.
38. M. Rohr et al. Model-driven development of self-managing software systems. In Proc. 9th Intl. Conf. Model-Driven Engineering Languages and Systems. Springer, 2006.
39. R. Sterritt et al. Sustainable and autonomic space exploration missions. In Proc. 2nd IEEE Intl. Conf. Space Mission Challenges for Information Technology, pages 59-66, 2006.
40. R. Sterritt and M. G. Hinchey. Biologically-inspired concepts for self-management of complexity. In Proc. 11th IEEE Intl. Conf. Engineering of Complex Computer Systems, pages 163-168, 2006.
41. J. Strassner et al. Providing seamless mobility using the FOCALE autonomic architecture. In Proc. 7th Intl. Conf. Next Generation Teletraffic and Wired/Wireless Advanced Networking, volume 4712 of LNCS, pages 330-341, 2007.
42. J. Strassner et al. Ontologies in the engineering of management and autonomic systems: A reality check. Journal of Network and Systems Management, 15(1):5-11, 2007.
43. W. E. Walsh et al. Utility functions in autonomic systems. In Proc. 1st Intl. Conf. Autonomic Computing, pages 70-77, 2004.
44. S. R. White et al. An architectural approach to autonomic computing. In Proc. 1st IEEE Intl. Conf. Autonomic Computing, IEEE Computer Society, pages 2-9, 2004.
45. O. Zimmermann et al. Perspectives on Web Services: Applying SOAP, WSDL and UDDI to Real-World Projects. Springer, 2005.