Email this article Research on Automatic Management Model to Personal Computer
Abstract
This paper describes the roles and functions of autonomic computing for personal computer. Based on the technology of autonomic computing, this paper defines an architectural model for personal computer autonomic computing to solve some problems , which lead to the crisis of software complexity. Based on this model, one test program with self-monitoring, self-analyzing, self- healing characters is implemented. Some key values of knowledge base for automatic management is proposed in this paper after we discussed and analyzed the influence of utilizing rate of CPU and usage rate of RAM and usage rate of network bandwidth on operation system in personal computer. The results show that self-management is feasible for PC and is used in some application systems, and obtains good results.
Keywords
References
[1] Kephart J, Chess D. The Vision of Autonomic Computing [R].IEEE Computer Society, January 2003;41- 50.
[2] IBM corporation. An architectural blueprint for autonomic computing. http://www-03.ibm.com/autonomic. 2003.
[3] Steve R. White, James E. Hanson,Ian whalley. An Architectural Approach to Autonomic Computing [C]. Proceedings of the International Conference on Autonomic Computing (ICAC’04),2004.
[4] Christian Nagel Bill Evjen Jay Glynn. Professional C#. 4rd[M].2006.
[5] Roy Sterritt, David F. Bantz. PAC-MEN: Personal Autonomic Computing Monitoring Environment [C]. Proceedings of the 15th International Workshop on Database and Expert Systems Applications (DEXA’04),2004.
[6] Cai ming, Yu wei. An improved method of resource location based on Peer-to-Peer[J]. Control and Automation, 2006,3-3:108-109.
[7] Neroni, Massimo. Automatic management system for instrumentation maintenance. Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings, v 11 pt 5, p 1595, Nov 1989.
[8] Shivers, Olin. Automatic management of operating-system resources. ACM SIGPLAN International Conference on Functional Programming, ICFP, p 274-279, 1997.
[9] Cytron, Ron. Automatic management of programmable caches. the International Conference on Parallel Processing, v 2, p 229-238, 1988.
[10] Wang, Zhi-Li. Test result automatic judgment in network management interface testing. Beijing Youdian Daxue Xuebao/Journal of Beijing University of Posts and Telecommunications.
[11] Jo, Sun-Moon. Access control technique for XML documents. The 2005 International Conference on Internet Computing.
[12] Li Qiang; Hao Qin-Fen; Xiao Li-Min. An Integrated Approach to Automatic Management of Virtualized Resources in Cloud Environments. COMPUTER JOURNAL, 2011,54(6): 905-919.
http://dx.doi.org/10.1093/comjnl/bxq082
[13] Autonomic computing white Paper. An architectural blueprint for autonomic computing,2005,Third Edition.
[14] A. G. Ganek, A. G. Ganek. The dawning of the autonomic computing era[J], IBM SYSTEMS JOURNAL, VOL 42, NO 1, 2003,5-18.
[15] Jeffrey O. Kephart, William E. Walsh. An Artificial Intelligence Perspective on Autonomic Computing Policies[C], Proceedings of the Fifth IEEE International Workshop on Policies for Distributed Systems and Networks:2004.
[16] D. M. Chess, C. C. Palmer, S. R. White. Security in an autonomic computing environment[J], IBM SYSTEMS JOURNAL, VOL 42, NO 1, 2003.
[17] P. Brittenham, R. R. Cutlip, C. Draper, B. A. Miller, S. Choudhary, M. Perazolo. IT service management architecture and autonomic computing[J], BM SYSTEMS JOURNAL, VOL 46, NO 3, 2007.
[18] Biplav Srivastava, Subbarao Kambhampati. The case for automated planning in autonomic computing[C],ICAC 2005.
[19] T. Eymann, M. Reinicke O. Ardaiz, P. Artigas, F. Freitag, L. Navarro. Self-Organizing Resource Allocation for Autonomic Networks[C], Proceedingo n 14th International Workshop on Database and Expert Systems Applications,2003.
Full Text: PDF