Abstract
Grid computing system is an open, dynamic and service-oriented environment. There are multiple service providers, which offer services in Grid to users. In order to make the entity use the resources and deploy services with safety and reliability, the “trust” notion is addressed. Trust mechanism has been focus of much research in recent years providing a safety and reliable Grid computing environment. In this paper we have proposed a technique for calculating the trust based on the rule based fuzzy logic. Three parameters reliability, capability, and user satisfaction are taken as an input and output is trust factor. We have implemented and evaluated the performance using GridSim simulator.
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
Sun, M., Zeng, G., Wang, W.: A Trust-Oriented Heuristic Scheduling Algorithm for Grid Computing. In: Malyshkin, V.E. (ed.) PaCT 2007. LNCS, vol. 4671, pp. 608–614. Springer, Heidelberg (2007)
Wang, W., Zeng, G.: Trusted dynamic level scheduling based on Bayes trust model. In: Science in China Series F: Information Science. LNCS, vol. 50(3), pp. 456–469 (June 2007)
Chen, H., Ye, Z., Liu, W., Wang, C.: Fuzzy Inference Trust in P2P Network Environment. In: Proc. 2rd IEEE Conf. International Workshop on Intelligent Systems and Application, (ISA 2010) (2010)
Hongmei, L., Qianping, W., Guoxin, L.: A Fuzzy Logic-Based Trust Model in Grid. In: International Conference on Networks Security, Wireless Communications and Trusted Computing, NSWCT 2009, pp. 608–614 (August 2009)
Tang, W., Chen, Z.: Research of subjective trust management model based on the fuzzy set theory. Journal of software 14(8), 1401–1408 (2003)
Tang, W., Hu, J.B., Chen, Z.: Research on a Fuzzy Logic-Based Subjective Trust Management Model. Journal of Computer Research and Development 42(10), 1654–1659 (2005)
Song, S., Hwang, K., Macwan, M.: Fuzzy Trust Integration for Security Enforcement in Grid Computing. In: Jin, H., Gao, G.R., Xu, Z., Chen, H. (eds.) NPC 2004. LNCS, vol. 3222, pp. 9–21. Springer, Heidelberg (2004)
GridSim toolkit, http://www.gridbus.org/gridsim/
Zhu, C., Tang, X., Li, K., Han, X., Zhu, X., Qi, X.: Integrating Trust into Grid Economic Model Scheduling Algorithm. In: Meersman, R., Tari, Z. (eds.) GADA 2006. LNCS, vol. 4276, pp. 1263–1272. Springer, Heidelberg (2006)
Foster, C.K.: The Grid 2 Blueprint for a New Computing Infrastructure. Theseries in grid computing
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
Siddiqui, M.N., Saini, V., Ahuja, R. (2011). Trust Management for Grid Environment Using Rule Based Fuzzy Logic. In: Wyld, D.C., Wozniak, M., Chaki, N., Meghanathan, N., Nagamalai, D. (eds) Advances in Network Security and Applications. CNSA 2011. Communications in Computer and Information Science, vol 196. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22540-6_63
Download citation
DOI: https://doi.org/10.1007/978-3-642-22540-6_63
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-22539-0
Online ISBN: 978-3-642-22540-6
eBook Packages: Computer ScienceComputer Science (R0)