Abstract
Autonomic computing is a new technology which aims to hide the software complexity by means of “technologies managing technologies”. The paper concludes and analysis the related concept of autonomic computing, the architecture and the working mechanisms of autonomic elements based on the relevant specialist work. Then the architecture and implementation method of automatic computing system are presented. Finally, the research problems and future directions of autonomic computing are discussed.
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
Liao, B., Yao, Y., Gao, J.: Conceptual Model and Realization Methods of Autonomic Computing. Journal of Software 19, 779–802 (2008)
Dearle, A., Kirby, G.N.C., McCarthy, A.J.: A Framework for Constraint-Based Deployment and Autonomic Management of Distributed Applications. In: Proceedings of the International Conference on Autonomic Computing, ICAC 2004 (2004)
Diaconescu, A., Mos, A., Murphy, J.: Automatic Performance Management in Component Based Software Systems. In: Proceedings of the International Conference on Autonomic Computing, ICAC 2004 (2004)
Huang, A.C., Fox, A.: Cheap Recovery: A Key to Self-Managing State. ACM Transactions on Storage 1(1), 38–70 (2004)
Demsky, B., Rinard, M.: Automatic Data Structure Repair for Self-Healing Systems. In: First Workshop on Algorithms and Architectures for Self-Managing Systems (2003)
Zhang, H., Shi, Z.: The software engineering method of autonomic computing. Small Miniature Computer System (2006)
Zhang, H., Shi, Z.: Research on agent-based autonomic computing. Institute of Computing Technology Chinese Academy of Science (2005)
Nami, M.R., Bertels, K.: A Survey of Autonomic Computing Systems
Kephart Ditches, D.: The vision of autonomic computing. IEEE Computer Society, Los Alamitos (2003)
Wang, f., Li, f.: A kind of optimization model of autonomic computing system. Computer Technology And Development (June 2006)
Kephart, J., Chess, D.: The Vision of Autonomic Computing, vol. 36, pp. 41–50. IEEE Computer Society, Los Alamitos (2003), doi:10.1109/ MC.2003.1160055
Loeser, C., Ditze, M., Altenbernd, P., Rammig, F.: GRUSEL-A self optimizing, bandwidth aware Video on Demand P2P Application. In: Proceedings of the International Conference on Autonomic Computing, ICAC 2004 (2004)
Kandasamy, N., Abdelwahed, S., Hayes, J.P.: Self-Optimization in Computer Systems via Online Control: Application to Power Management. In: Proceedings of the International Conference on Autonomic Computing, ICAC 2004 (2004)
Appavoo, J., et al.: Enabling Autonomic Behavior in Systems Software with Hot Swapping. IBM Systems Journal 42(1), 60–76 (2003)
Qu, G., Hariri, S., Jangiti, S.: Et lanoline Monitoring and Analysis for Self-Protection against Network Attacks. In: Proceedings of the International Conference on Autonomic Computing, ICAC 2004 (2004)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Duan, F., Li, X., Liu, Y., Fang, Y. (2011). Towards Autonomic Computing: A New Self-Management Method. In: Deng, H., Miao, D., Lei, J., Wang, F.L. (eds) Artificial Intelligence and Computational Intelligence. AICI 2011. Lecture Notes in Computer Science(), vol 7002. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23881-9_39
Download citation
DOI: https://doi.org/10.1007/978-3-642-23881-9_39
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-23880-2
Online ISBN: 978-3-642-23881-9
eBook Packages: Computer ScienceComputer Science (R0)