Abstract
Cloud manufacturing (CMfg) provides new opportunities toward the servitization, and embeds a set of functional features to enhance the collaboration among various service providers and their resources. The main target is to compose dedicated manufacturing cloud, by encompassing a set of cloud services, to manufacture a requested service. CMfg is a recent concept, but already widely spread in the academic and industrial researches in China. The paper firstly focuses on the manufacturing environment background to understand its purpose. Thus as an introduction, the concept of CMfg is discussed. Finally, we present a method based on intuitionistic fuzzy set for the similarity evaluation between cloud services and service clusters. The objective is to match the best service cluster to provide composite resource services as cloud service candidates. Our method is ABC (Artificial Bee Colony) optimized, and its performance are discussed through experiments.
Chapter PDF
Similar content being viewed by others
Keywords
References
Tao, F., Hu, Y.F., Zhou, Z.D.: Study on manufacturing grid and its resource service optimal-selection system. Int. J. Adv. Mfg Technology 37, 1022–1041 (2008)
Tao, F., Zhang, L., Venkatesh, V.C., Luo, Y., Cheng, Y.: Cloud manufacturing: a computing and service-oriented manufacturing model. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 1–8 (August 2011)
Ren, G., Gregory, M.: Servitization in manufacturing Companies – Literature Review, Research Progress and Cambridge service Research. Cranfield Product-Service Systems Seminar (November 2007)
Neely, A., Benedetinni, O., Visnjic, I.: The servitization of manufacturing: Further evidence. In: 18th Euro. Ops. Management Association Conf., Cambridge (July 2011)
Loughridge, M.: IBM Financial Model. IBM Investor Briefing (2010)
Ning, F., Zhou, W., Zhang, F., Yin, Q., Ni, X.: The Architecture of Cloud manufacturing and its key technologies research. In: Proceedings of IEEE Cloud Computing and Intelligence Systems (CCIS), pp. 259–263 (September 2011)
Buyya, R., Yeo, C.S., Venugopal, S.: Market-Oriented Cloud Computing: Vision, Hype, and reality for delivering it services as Computing Utilities, vol. 07, pp. 7–9. University of Melbourne, Australia (2008)
Xu, X.: From Cloud computing to Cloud manufacturing. Rob. and Comp. Mfg (July 2011)
Mou, T., Nie, L., Zhan, D., Xu, X.: Task Scheduling and Assignment Methods for Cloud Enterprises. In: Enterprise Interoperability V, pp. 427–437 (2012)
Zadeh, L.A.: Fuzzy sets. Information and Control 8, 338–553 (1965)
Liang, L.R., Lu, S., Wang, X., Lu, Y., Mandal, V., Patacsil, D., Kumar, D.: FM-test: A Fuzzy-Set-Theory-Based Approach to Differential Gene Expression Data Analysis. BMC Bioinformatics 7(4) (2006)
Atanassov, K.T.: Intuitionistic Fuzzy Sets. Fuzzy Sets and Systems, 87–96 (1986)
Tao, F., Zhao, D., Zhang, L.: Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system. Knowledge and Information Systems 25(01), 185–208 (2010)
Xu, Z.: Some similarity evaluations of intuitionistic fuzzy sets and their applications to multiple attribute decision making. Fuzzy Optim. Decision Making 6(2), 109–121 (2007)
Genari, A.C., Guliato, D.: Similarity evaluations based on fuzzy sets. Federal University of Uberlandia, Brazil
Karaboga, D., Akay, B.: A comparative study of Artificial Bee Colony algorithm. Applied Mathematics and Computation 214(1), 108–132 (2009)
Karaboga, D., Gorkemli, B., Ozturk, C., Karaboga, N.: A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artificial Intelligence Review (March 2012)
Anandhakumar, R., Subramanian, S., Ganesan, S.: Modified ABC Algorithm for Generator Maintenance Scheduling. Int. J. of Comp. and Elec. Engineering 3(6), 812–819 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2013 IFIP International Federation for Information Processing
About this paper
Cite this paper
Lartigau, J., Xu, X., Nie, L., Zhan, D. (2013). Similarity Evaluation Based on Intuitionistic Fuzzy Set for Service Cluster Selection as Cloud Service Candidate. In: van Sinderen, M., Oude Luttighuis, P., Folmer, E., Bosems, S. (eds) Enterprise Interoperability. IWEI 2013. Lecture Notes in Business Information Processing, vol 144. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36796-0_5
Download citation
DOI: https://doi.org/10.1007/978-3-642-36796-0_5
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-36795-3
Online ISBN: 978-3-642-36796-0
eBook Packages: Computer ScienceComputer Science (R0)