Issue:Intuitionistic fuzzy load balancing in cloud computing

shortcut

http://ifigenia.org/wiki/issue:nifs/18/4/19-25

Title of paper: Intuitionistic fuzzy load balancing in cloud computing Author(s): Marin Marinov European Polytechnical University, 23 “Kiril i Metodiy” Str., Pernik–2300, Bulgaria Presented at: 8th IWIFS, Sofia, 9 October 2012 Published in: "Notes on Intuitionistic Fuzzy Sets", Volume 18 (2012) Number 4, pages 19—25 Download:  PDF (118  Kb, File info) Abstract: An attempt to apply the intuitionistic fuzzy sets (IFS) paradigm to construct an efficient load balancing scheme in cloud computing environment is presented. Two approaches of IFS usage are shown. One is based on a direct substitution of a classical fuzzy logic by an intuitionistic fuzzy logic, illustrated on an already proposed model of load balancing. The second approach deals with the application of the modal notions from IFS – necessity and possibility, which are proposed to be associated to the needed load and available resources respectively. Then the target of the balance scheme is to equalize both. Keywords: Information definition, Intuitionistic fuzzy sets. AMS Classification: 03E72 References: Atanassov, K. Intuitionistic Fuzzy Sets: Theory and Applications. Springer, Heidelberg, 1999. Atanassova, V., S. Sotirov. A new formula for de-i-fuzzification of intuitionistic fuzzy sets, Notes on Intuitionistic Fuzzy Sets, Vol. 18, 2012, No. 3, 49–51. Ban, A., J. Kacprzyk, K. Atanassov. On de-I-fuzzification of intuitionistic fuzzy sets. Comptes Rendus de l'Academie bulgare des Sciences, Vol. 61, 2008, No. 12, 1535–1540. Barazandeh, I., S. S. Mortazavi, A. M. Rahmani, Intelligent fuzzy based biasing load balancing algorithm in distributed systems, Proc. of 9th IEEE Malaysia International Conference, Dec. 2009, 713–719. Buyya, R., C. S. Yeo, S. Venugopal, J. Broberg, I. Brandic, Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility, Future Generation Computer Systems, Elsevier Science, Amsterdam, Vol. 25, 2009, No. 6, 599–616. Marinov, M., K. Atanassov. A method and electronic circuit for intuitionistic fuzzy inference. Notes on Intuitionistic Fuzzy Sets, Vol. 11, 2005, No. 1, 28–32. Nigni Jain Kansal, Inderveer Chana. Existing load balancing techniques in cloud computing: A systematic review. Journal of Information Systems and Communication, Vol. 3, 2012, Issue 1, 87–91. Rantonen, M., T. Frantti, K. Leiviskä, Fuzzy expert system for load balancing in symmetric multiprocessor systems, Journal of Expert Systems with Applications, Vol. 37, 2010, No. 12, 8711–8720. Sethi, S., A. Sahu, S. K. Jena. Efficient load Balancing in Cloud Computing using Fuzzy Logic. IOSR Journal of Engineering, Vol. 2, 2012, Issue 7, 65–71. Singh, L., A. Narayan, S. Kumar, Dynamic fuzzy load balancing on LAM/MPI clusters with applications in parallel master-slave implementations of an evolutionary neurofuzzy learning system, Proc. of IEEE International Conference on Fuzzy Systems, 2008, 1782–1788. Citations: Issue:Generalized nets and intuitionistic fuzziness as tools for modelling of data mining processes and tools ‎ (← links) The list of publications, citing this article may be empty or incomplete. If you can provide relevant data, please, write on the talk page.