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A Novel Market-Oriented Dynamic Collaborative Cloud Service Platform

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Handbook of Cloud Computing

Abstract

In today’s world the emerging Cloud computing (Weiss, 2007) offer a new computing model where resources such as computing power, storage, online applications and networking infrastructures can be shared as “services” over the internet. Cloud providers (CPs) are incentivized by the profits to be made by charging consumers for accessing these services. Consumers, such as enterprises, are attracted by the opportunity for reducing or eliminating costs associated with “in-house” provision of these services.

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References

  • Amid, A., Ghodsypour, S. H., & Brien, C. O. (2006). Fuzzy multi-objective linear model for supplier selection in a supply chain. International Journal of Production Economics, 104, 394–407.

    Article  Google Scholar 

  • Bubendorfer, K. (2006). Fine grained resource reservation in open grid economies. Proceedings of the 2nd IEEE International Conference on e-Science and Grid Computing, Vol. 1, Washington, DC, 81–81.

    Google Scholar 

  • Bubendorfer, K., & Thomson, W. (2006). Resource management using untrusted auctioneers in a grid economy. Proceedings of the 2nd IEEE International Conference on e-Science and Grid Computing, Vol. 1, Prentice Hall, NJ, 74–74.

    Google Scholar 

  • Buyukozkan, G., Feyzioglu, O., & Nebol, E. (2008). Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics, 113, 148–158.

    Article  Google Scholar 

  • Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., & Brandic, I. (2009). Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generation Computer Systems, 25, 599–616.

    Article  Google Scholar 

  • Chang, S. L., Wang, R. C., & Wang, S. Y. (2006). Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle. International Journal of Production Economics, 100, 348–359.

    Article  Google Scholar 

  • Chen, Y. L., Cheng, L. C., & Chuang, C. N. (2008). A group recommendation system with consideration of interactions among group members. Expert Systems with Applications, 34, 2082–2090.

    Article  Google Scholar 

  • Chen, H. H., Lee, A. H. I., & Tong, Y. (2007). Prioritization and operations NPD mix in a network with strategic partners under uncertainty. Expert Systems with Applications, 33, 337–346.

    Article  Google Scholar 

  • Chen, S., Nepal, S., Wang, C. C., & Zic, J. (2008). Facilitating dynamic collaborations with eContract services. Proceeding of 2008 IEEE International Conference on Web Services, Vol. 1, Miami, FL, 521–528.

    Google Scholar 

  • Cheng, F., Ye, F., & Yang, J. (2009). Multi-objective optimization of collaborative manufacturing chain with time-sequence constraints. International Journal of Advanced Manufacturing Technology, 40, 1024–1032.

    Article  Google Scholar 

  • Cowan, R., Jonard, N., & Zimmermann, J. B. (2007). Bilateral collaboration and the emergence of innovation networks. Management Science, 53, 1051–1067.

    Article  Google Scholar 

  • Das, A., & Grosu, D. (2005). Combinatorial auction-based protocol for resource allocation in grid. Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium, Denver, CA.

    Google Scholar 

  • Deb, K., Pratap, A., Agarwal, S., & Meyarivan, T. (2002). A fast and elitist multi-objective genetic algorithm: NSGA-II. IEEE Transactions on Evolutionary Computation, 6, 182–197.

    Article  Google Scholar 

  • Fischer, M., Jahn, H., & Teich, T. (2004). Optimizing the selection of partners in production networks. Robotics and Comput-Integrated Manufacturing, 20(5), 593–601.

    Article  Google Scholar 

  • Fuqing, Z., Yi, H., & Dongmei, Y. (2008). A multi-objective optimization model of the partner selection problem in a virtual enterprise and its solution with genetic algorithms. International Journal of Advanced Manufacturing Technology, 37, 1220.

    Article  Google Scholar 

  • Grosu, D., & Das, A. (2004). Auction-based resource allocation protocols in grids. Proceeding of the 16th IASTED International Conference on Parallel and Distributed Computing and Systems, Vol. 1, Los Angeles, CA, 20–27.

    Google Scholar 

  • Gupta, P., & Nagi, R. (1995). Optimal partner selection for virtual enterprises in agile manufacturing. Submitted to IIE Transactions on Design and Manufacturing, Special Issue on Agile Manufacturing.

    Google Scholar 

  • Huang, X. G., Wong, Y. S., & Wang, J. G. (2004). A two-stage manufacturing partner selection framework for virtual enterprises. International Journal of Computer Integrated Manufacturing, 17(4), 294–304.

    Article  Google Scholar 

  • Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Berlin: Springer.

    Book  MATH  Google Scholar 

  • Coombe, B. (2009). Cloud Computing- Overview, Advantages and Challenges for Enterprise Deployment. Bechtel Technology Journal, 2(1).

    Google Scholar 

  • Ip, W. H., Huang, M., Yung, K. L., & Wang, D. (2003). Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise. Computers and Operations Research, 30, 213–231.

    Article  MATH  Google Scholar 

  • Kaya, M. (2009). MOGAMOD: Multi-objective genetic algorithm for motif discovery. Expert Systems with Applications, 36, 2.

    Article  Google Scholar 

  • Ko, C. S., Kim, T., & Hwang, H. (2001). External partner selection using Tabu search heuristics in distributed manufacturing. International Journal of Production Research, 39(17), 3959–3974.

    Article  MATH  Google Scholar 

  • Nepal, S., & Zic, J. (2008). A conflict neighboring negotiation algorithm for resource services in dynamic collaboration. Proceedings of the IEEE International Conference on Services Computing, 2, 7–11.

    Google Scholar 

  • Nepal, S., Zic, J., & Chan, J. (2007). A distributed approach for negotiating resource contributions in dynamic collaboration. Proceedings of the 8th IEEE International Conference on Parallel and Distributed Computing Applications and Technologies, Vol. 1, Genoa, Italy, 82–86.

    Google Scholar 

  • Saen, R. F. (2007). Supplier selection in the presence of both cardinal and ordinal data. European Journal of Operational Research, 183, 741–747.

    Article  MATH  Google Scholar 

  • Sha, D. Y., & Che, Z. H. (2005). Virtual integration with a multi-criteria partner selection model for the multi-echelon manufacturing system. International Journal of Advanced Manufacturing Technology, 25, 793–802.

    Article  Google Scholar 

  • Suzuki, K., & Yokoo, M. (2003). Secure generalized vickery auction using homomorphic encryption. Proceedings of 7th International Conference on Financial Cryptography, LNCS, Springer, Vol. 2742, Hong-Kong, China, 239–249.

    Google Scholar 

  • Wang, Z.-J., Xu, X.-F., & Zhan, D. C. (2009). Genetic algorithms for collaboration cost optimization-oriented partner selection in virtual enterprises. International Journal of Production Research, 47(4), 859–881.

    Google Scholar 

  • Weiss, A. (December 2007). Computing in the clouds. netWorker, 11(4), 16–25.

    Article  Google Scholar 

  • Wolski, R., Plank, J. S., Brevik, J., & Bryan, T. (2001). Analyzing market-based resource allocation strategies for the computational grid. The International Journal of High Performance Computing Applications, 15(3), 258–281.

    Article  Google Scholar 

  • Wu, N. Q., & Su, P. (2005). Selection of partners in virtual enterprise paradigm. Robotics Computer-Integrated Manufacturing, 21(5), 119–131.

    Article  Google Scholar 

  • Yamazaki, Y. (2004). Dynamic collaboration: The model of new business that quickly responds to changes in the market through ‘The Integrated IT/Network Solutions’ provided. NEC Journal of Advanced Technology, 1(1), 9–16.

    Google Scholar 

  • Yokoo, M., & Suzuki, K. (2002). Secure multi-agent dynamic programming based on homomorphic encryption and its application to combinatorial auctions. Proceedings of the First Joint International Conference on Autonomous Agents and Multi-agent Systems, ACM Press, Vol. 1, New York, NY, 112–119.

    Google Scholar 

  • Zitzler, E., Laumanns, M., & Thiele, L. (2001). SPEA2: Improving the strength Pareto evolutionary algorithm (TIK Rep. No. 103, Swiss Federal Institute of Technology, 2001).

    Google Scholar 

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Correspondence to Mohammad Mehedi Hassan .

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Hassan, M.M., Huh, EN. (2010). A Novel Market-Oriented Dynamic Collaborative Cloud Service Platform. In: Furht, B., Escalante, A. (eds) Handbook of Cloud Computing. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-6524-0_17

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  • DOI: https://doi.org/10.1007/978-1-4419-6524-0_17

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