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2013 | OriginalPaper | Chapter

4. Multi-objective Optimization Model and Algorithms for Partner Selection

Authors : Mohammad Mehedi Hassan, Eui-Nam Huh

Published in: Dynamic Cloud Collaboration Platform

Publisher: Springer New York

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Abstract

The Partner selection is an important decision problem in the formation of a dynamic cloud collaboration platform. Selecting suitable cloud partners to form a group will facilitate the success of collaborative cloud services. In this chapter, first, we present a promising multi-objective (MO) optimization model of partner selection considering individual information (INI) and past relationship information (PRI) with collaboration cost optimization among cloud providers in a DCC platform. Then to solve this MO optimization model, a general framework of multi-objective genetic algorithm (MOGA) that uses INI and PRI of cloud providers called MOGA-IC is presented. Finally, two algorithms called NSGA-II and SPEA2 are developed to implement MOGA-IC.

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Software as a Service: Strategic Backgrounder. The Software Information Industry and Association. http://www.siia.net/estore/ssb-01.pdf. Accessed Feb 2001

Amazon S3 Availability Event. Amazon Service Health Dashboard. http://status.aws.amazon.com/s3-20080720.html. Accessed 20 July 2008

Amazon Elastic Compute Cloud (EC2). http://www.amazon.com/ec2/. Accessed March 2010

Google App Engine. http://appengine.google.com. Accessed Sept 2010

Windows azure platform. http://www.microsoft.com/azure/. Accessed Sept 2010

An, B., Lesser, V., Irwin, D., Zink, M.: Automated negotiation with decommitment for dynamic resource allocation in cloud computing. In: Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems: Volume 1 - Volume 1, AAMAS ’10, pp. 981–988 (2010)

Anandasivam, A., Buschek, S., Buyya, R.: A heuristic approach for capacity control in clouds. In: CEC ’09: Proceedings of the 2009 IEEE Conference on Commerce and Enterprise Computing, pp. 90–97. IEEE Computer Society, Washington, DC (2009). doi:http://dx.doi.org/10.1109/CEC.2009.20

Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R.H., Konwinski, A., Lee, G., Patterson, D.A., Rabkin, A., Stoica, I., Zaharia, M.: Above the clouds: A berkeley view of cloud computing. Tech. Rep. UCB/EECS-2009-28, EECS Department, University of California, Berkeley (2009). http://www.eecs.berkeley.edu/Pubs/TechRpts/2009/EECS-2009-28.html

Bernstein, D., Ludvigson, E., Sankar, K., Diamond, S., Morrow, M.: Blueprint for the intercloud - protocols and formats for cloud computing interoperability. In: ICIW ’09: Proceedings of the 2009 Fourth International Conference on Internet and Web Applications and Services, pp. 328–336. IEEE Computer Society, Washington, DC (2009). doi:http://dx.doi.org/10.1109/ICIW.2009.55

10.

Boghosian, B., Coveney, P., Dong, S., Finn, L., Jha, S., Karniadakis, G., Karonis, N.: Nektar, spice and vortonics: using federated grids for large scale scientific applications. Cluster Comput. 10(3), 351–364 (2007). doi:http://dx.doi.org/10.1007/s10586-007-0029-4

11.

Boss, G., Malladi, P., Quan, D., Legregni, L., Hall, H.: IBM on cloud computing. IBM Technical Report, High Performance On-Demand Solutions (2007)

12.

Bubendorfer, K.: Fine grained resource reservation in open grid economies. In: E-SCIENCE ’06: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing, p. 81. IEEE Computer Society, Washington, DC (2006). doi:http://dx.doi.org/10.1109/E-SCIENCE.2006.68

13.

Bubendorfer, K., Thomson, W.: Resource management using untrusted auctioneers in a grid economy. In: E-SCIENCE ’06: Proceedings of the Second IEEE International Conference on e-Science and Grid Computing, p. 74. IEEE Computer Society, Washington, DC (2006). doi:http://dx.doi.org/10.1109/E-SCIENCE.2006.115

14.

Buyya, R., Ranjan, R., Calheiros, R.: Intercloud: Utility-oriented federation of cloud computing environments for scaling of application services. In: Algorithms and Architectures for Parallel Processing. Lecture Notes in Computer Science, vol. 6081, pp. 13–31. Springer, Berlin (2010)

15.

Calheiros, R.N., Ranjan, R., Beloglazov, A., Rose, C.A.F.D., Buyya, R.: CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. J. Soft. Pract. Exp. 41(1), 23–50 (2011)CrossRef

16.

Buyya, R., Yeo, C.S., Venugopal, S., Broberg, J., Brandic, I.: Cloud computing and emerging it platforms: Vision, hype, and reality for delivering computing as the 5th utility. Future Generat. Comput. Syst. 25(6), 599–616 (2009). doi:http://dx.doi.org/10.1016/j.future.2008.12.001

17.

Campbell, R., Gupta, I., Heath, M., Ko, S.Y., Kozuch, M., Kunze, M., Kwan, T., Lai, K., Lee, H.Y., Lyons, M., Milojicic, D., O’Hallaron, D., Soh, Y.C.: Open cirrustmcloud computing testbed: federated data centers for open source systems and services research. In: HotCloud’09: Proceedings of the 2009 conference on Hot topics in cloud computing, pp. 1–1. USENIX Association, Berkeley, CA (2009)

18.

Celesti, A., Tusa, F., Villari, M., Puliafito, A.: How to enhance cloud architectures to enable cross-federation. In: IEEE 3rd International Conference on cloud Computing (CLOUD), pp. 337–345, Miami, FL, USA (2010)

19.

Members of EGEE-II: An egee comparative study: Grids and clouds – evolution or revolution. Technical report, Enabling Grids for E-sciencE Project, June 2008. Electronic version available at https://edms.cern.ch/document/925013/

20.

Chang, S.L., Wang, R.C., Wang, S.Y.: Applying fuzzy linguistic quantifier to select supply chain partners at different phases of product life cycle. Int. J. Prod. Econ. 100(2), 348–359 (2006). http://ideas.repec.org/a/eee/proeco/v100y2006i2p348-359.html

21.

Chang, Y.C., Li, C.S., Smith, J.R.: Searching dynamically bundled goods with pairwise relations. In: Proceedings of the 4th ACM conference on Electronic commerce, EC ’03, pp. 135–143. ACM, New York, NY (2003). doi:http://doi.acm.org/10.1145/779928.779945. http://doi.acm.org/10.1145/779928.779945

22.

Che, Z., Wang, H., Sha, D.: A multi-criterion interaction-oriented model with proportional rule for designing supply chain networks. Expert Syst. Appl. 33(4), 1042–1053 (2007). DOI: 10.1016/j.eswa.2006.08.015. http://www.sciencedirect.com/science/article/B6V03-4KYY4GG-2/2/483f1f3b0da536fe558ae4ff5c0be975

23.

Chen, Y.L., Cheng, L.C., Chuang, C.N.: A group recommendation system with consideration of interactions among group members. Expert Syst. Appl. 34(3), 2082–2090 (2008). doi:http://dx.doi.org/10.1016/j.eswa.2007.02.008

24.

Cheng, F., Ye, F., Yang, J.: Multi-objective optimization of collaborative manufacturing chain with time-sequence constraints. Int. J. Adv. Manuf. Tech. 40, 1024–1032 (2009). http://dx.doi.org/10.1007/s00170-008-1388-6. 10.1007/s00170-008-1388-6

25.

Chunyan, D., Yi, Y.: The method integration model for partner selection in the virtual enterprise. Int. Conf. Serv. Syst. Serv. Manag. 1, 716–720 (2005). doi:http://doi.ieeecomputersociety.org/10.1109/ICSSSM.2005.1499570

26.

Claburn, T.: Google news suffers outage. Information Week, http://www.informationweek.com/news/internet/google/showArticle.jhtml?articleID=220100659&subSection=Google. Accessed 22 Sept 2009

27.

Clarke, E.H.: Multipart pricing of public goods. Publ. Choice 11, 17–33 (1971)CrossRef

28.

Corne, D., Knowles, J., Oates, M.: The pareto envelope-based selection algorithm for multiobjective optimization. In: Parallel Problem Solving from Nature PPSN VI. Lecture Notes in Computer Science, vol. 1917, pp. 839–848. Springer, Berlin (2000)

29.

Coursey, D.: Google outage: If this is our future, it looks bad. PC World, http://www.gartner.com/it/page.jsp?id=871113. Accessed 01 Sept 2009

30.

Cowan, R., Jonard, N., Zimmermann, J.B.: Bilateral collaboration and the emergence of innovation networks. Manag. Sci. 53(7), 1051–1067 (2007). doi:http://dx.doi.org/10.1287/mnsc.1060.0618

31.

Das, A., Grosu, D.: Combinatorial auction-based protocols for resource allocation in grids. In: IPDPS ’05: Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS’05) - Workshop 13, p. 251.1. IEEE Computer Society, Washington, DC (2005). doi:http://dx.doi.org/10.1109/IPDPS.2005.140

32.

Deb, K., Agrawal, S., Pratap, A., Meyarivan, T.: A fast elitist non-dominated sorting genetic algorithm for multi-objective optimisation: Nsga-ii. In: PPSN VI: Proceedings of the 6th International Conference on Parallel Problem Solving from Nature, pp. 849–858. Springer, London (2000)

33.

Ding, J.F., Liang, G.S.: Using fuzzy mcdm to select partners of strategic alliances for liner shipping. Int. J. Informat. Comput. Sci. 173(1–3), 197–225 (2005)MATH

34.

Dodda, R.T., Smith, C., van Moorsel, A.: An architecture for cross-cloud system management. Contemporary computing, communications in computer and information science, vol. 40. Springer, Berlin (2009). ISBN 978-3-642-03546-3

35.

Dubey, A., Mohiuddin, J., Baijal, A., Rangaswami, M.: Enterprise software customer survey. Sand Hill Group, McKinsey and Company. http://www.interop.com/downloads/mckinsey_interop_survey.pdf (2008)

36.

Elmroth, E., Larsson, L.: Interfaces for placement, migration, and monitoring of virtual machines in federated clouds. In: GCC ’09: Proceedings of the 2009 Eighth International Conference on Grid and Cooperative Computing, pp. 253–260. IEEE Computer Society, Washington, DC, USA (2009). doi:http://dx.doi.org/10.1109/GCC.2009.36

37.

Emden, Z., Calantone, R., Droge, C.: Collaborating for new product development: selecting the partner with maximum potential to create value. J. Prod. Innovat. Manag. 23(4), 330–341 (2006)CrossRef

38.

Famuyiwa, O., Monplaisir, L., Nepal, B.: An integrated fuzzy-goal-programming-based framework for selecting suppliers in strategic alliance formation. Int. J. Prod. Econ. 113(2), 862–875 (2008)CrossRef

39.

Fan, Z.P., Bo, F.: A multiple attributes decision making method using individual and collaborative attribute data in a fuzzy environment. Inform. Sci. 179(20), 3603 – 3618 (2009)CrossRef

40.

Fan, Z.P., Feng, B., Jiang, Z.Z., Fu, N.: A method for member selection of R&D teams using the individual and collaborative information. Expert Syst. Appl. 36(4), 8313–8323 (2009). doi:http://dx.doi.org/10.1016/j.eswa.2008.10.020

41.

Farahani, R.Z., Elahipanah, M.: A genetic algorithm to optimize the total cost and service level for just-in-time distribution in a supply chain. Int. J. Prod. Econ. 111(2), 229–243 (2008)CrossRef

42.

Feng, B., Fan, Z.P., Ma, J.: A method for partner selection of codevelopment alliances using individual and collaborative utilities. Int. J. Prod. Econ. 124(1), 159–170 (2010)CrossRef

43.

Fischer, M., Jahn, H., Teich, T.: Optimizing the selection of partners in production networks. Int. J. Robot. Comput. Integr. Manuf. 20(6), 593–601 (2004)CrossRef

44.

Fuqing, Z., Yi, H., Dongmei, Y.: A multi-objective optimization model of the partner selection problem in a virtual enterprise and its solution with genetic algorithms. Int. J. Adv. Manuf. Tech. 28, 1246–1253 (2006). http://dx.doi.org/10.1007/s00170-004-2461-4. 10.1007/s00170-004-2461-4

45.

Gartner, I.: Cloud application infrastructure technologies need seven years to mature. http://www.gartner.com/it/page.jsp?id=871113. Accessed Feb 2009

46.

Geelan, J.: Twenty-one experts define cloud computing. Retrieved Sept 2010 from http://cloudcomputing.sys-con.com/node/612375/print. Accessed Aug 2008

47.

Gens, F.: IDC’s new IT cloud services forecast: 2009–2013. http://blogs.idc.com/ie/?p=543. Accessed Oct 2009

48.

Goiri, I., Guitart, J., Torres, J.: Characterizing cloud federation for enhancing providers’ profit. In: IEEE 3rd International Conference on Cloud Computing, pp. 123–130, Miami, FL, USA (2010)

49.

Gomes, E.R., Vo, Q.B., Kowalczyk, R.: Pure exchange markets for resource sharing in federated clouds. Concurrency Comput. Pract. Exp. 24(9), 977–991 John Wiley and Sons Ltd. Chichester, UK (2012)

50.

Hajidimitriou, Y.A., Georgiou, A.C.: A goal programming model for partner selection decisions in international joint ventures. Eur. J. Oper. Res. 138(3), 649–662 (2002)MATHCrossRef

51.

Hoffa, C., Mehta, G., Freeman, T., Deelman, E., Keahey, K., Berriman, B., Good, J.: On the use of cloud computing for scientific workflows. In: ESCIENCE ’08: Proceedings of the 2008 Fourth IEEE International Conference on eScience, pp. 640–645. IEEE Computer Society, Washington, DC, USA (2008). doi:http://dx.doi.org/10.1109/eScience.2008.167

52.

Huang, B., Gao, C., Chen, L.: Study on partner selection for a virtual enterprise based on vague sets. In: CCIE’10: Proceedings of the 2010 International Conference on Computing, Control and Industrial Engineering, 1, pp. 110–113, Wuhan, China (2010)

53.

Huang, X.G., Wong, Y.S., Wang, J.: A two-stage manufacturing partner selection framework for virtual enterprises. Int. J. Comput. Integr. Manuf. 17(4), 294–304 (2004). http://www.informaworld.com/10.1080/09511920310001654292

54.

IBM: Cloud computing. https://www.ibm.com/developerworks/cloud/. Accessed Sept 2010

55.

Ip, W.H., Huang, M., Yung, K.L., Wang, D.: Genetic algorithm solution for a risk-based partner selection problem in a virtual enterprise. Comput. Oper. Res. 30(2), 213–231 (2003). doi:http://dx.doi.org/10.1016/S0305-0548(01)00092-2

56.

Jarimo, T., Salo, A.: Multicriteria partner selection in virtual organizations with transportation costs and other network interdependencies. Trans. Syst. Man Cybern. C 39(1), 124–129 (2009)CrossRef

57.

Kaya, M.: Mogamod: Multi-objective genetic algorithm for motif discovery. Expert Syst. Appl. 36(2, Part 1), 1039–1047 (2009). DOI: 10.1016/j.eswa.2007.11.008. http://www.sciencedirect.com/science/article/B6V03-4R53W74-M/2/e6cf5fe5acf73b555a60d248f6f59155

58.

Klems, M.: Merrill Lynch Estimates “cloud computing” to be $ 100 Billion Market. http://web2.sys-con.com/node/604936. Accessed 2012

59.

Ko, C.S., Kim, T., Hwang, H.: External partner selection using tabu search heuristics in distributed manufacturing. Int. J. Prod. Res. 39(17), 3959–3974 (2001)MATHCrossRef

60.

Konak, A., Coit, D., Smith, A.: Multi-objective optimization using genetic algorithms: A tutorial. Reliab. Eng. Syst. Saf. 91, 992–1007 (2006)CrossRef

61.

Li, W., Ping, L.: Trust model to enhance security and interoperability of cloud environment. In: CloudCom ’09: Proceedings of the 1st International Conference on Cloud Computing, pp. 69–79. Springer, Berlin (2009). doi:http://dx.doi.org/10.1007/978-3-642-10665-1_7

62.

Lublin, U., Feitelson, D.G.: The workload on parallel supercomputers: modeling the characteristics of rigid jobs. J. Parallel Distr. Comput. 63(11), 1105–1122 (2003). doi:http://dx.doi.org/10.1016/S0743-7315(03)00108-4

63.

Maximilien, E.M., Ranabahu, A., Engehausen, R., Anderson, L.: Ibm altocumulus: a cross-cloud middleware and platform. In: OOPSLA ’09: Proceeding of the 24th ACM SIGPLAN Conference Companion on Object Oriented Programming Systems Languages and Applications, pp. 805–806. ACM, New York (2009). doi:http://doi.acm.org/10.1145/1639950.1640024

64.

McLaughlin, K.: Netsuite back online after cloud apps outage. CRN, http://www.crn.com/news/applications-os/224600702/netsuite-back-online-after-cloud-apps-outage.htm;jsessionid=nUYkEwwMtpscjA+khR-7iw**.ecappj02. Accessed 27 April 2010

65.

Miller, R.: Brief power outage for Amazon data center. Data Center Knowledge. http://www.datacenterknowledge.com/archives/2009/12/10/power-outage-for-amazon-data-center/. Accessed 10 Dec 2009

66.

Nepal, S., Zic, J.: A conflict neighbouring negotiation algorithm for resource services in dynamic collaborations. In: SCC ’08: Proceedings of the 2008 IEEE International Conference on Services Computing, pp. 283–290. IEEE Computer Society, Washington, DC (2008). doi:http://dx.doi.org/10.1109/SCC.2008.18

67.

Nepal, S., Zic, J., Chan, J.: A distributed approach for negotiating resource contributions in dynamic collaboration. In: Proceedings of the Eighth International Conference on Parallel and Distributed Computing, Applications and Technologies, pp. 82–86. IEEE Computer Society, Washington, DC (2007). doi:http://dx.doi.org/10.1109/PDCAT.2007.1

68.

OGF: Open cloud computing interface working group. http://www.occi-wg.org/. Accessed 2012

69.

OpenQRM: The next generation, open-source data-center management platform. http://www.openqrm.com/. Accessed Sept 2010

70.

Paul, I.: Google suffers another service outage. PC World. http://www.pcworld.com/article/165046/google_suffers_another_service_outage.html. Accessed 18 May 2009

71.

Petersen, S.A., Matskin, M.: Agent interaction protocols for the selection of partners for virtual enterprises. In: CEEMAS’03: Proceedings of the 3rd Central and Eastern European conference on Multi-agent systems, pp. 606–615. Springer, Berlin (2003)

72.

Ranjan, R., Buyya, R.: Decentralized overlay for federation of enterprise clouds. Handbook of Research on Scalable Computing Technologies. ISBN: 978-1-60566-661-7, IGI Global (2009)

73.

Raphae, J.: Google says outage caused by traffic routing error. PC World. http://www.pcworld.com/article/164904/google_says_outage_caused_by_traffic_routing_error.html?tk=rel_news. Accessed 15 May 2009

74.

Rochwerger, B., Breitgand, D., Levy, E., Galis, A., Nagin, K., Llorente, I.M., Montero, R., Wolfsthal, Y., Elmroth, E., Cáceres, J., Ben-Yehuda, M., Emmerich, W., Galán, F.: The reservoir model and architecture for open federated cloud computing. IBM J. Res. Dev. 53(4), 535–545 (2009)CrossRef

75.

Saen, R.F.: Suppliers selection in the presence of both cardinal and ordinal data. Eur. J. Oper. Res. 183(2), 741–747 (2007)MATHCrossRef

76.

Salesforce.com: Application development with force.coms cloud computing platform. http://www.salesforce.com/platform/. Accessed Sept 2010

77.

Sarker, R., Liang, K.H., Newton, C.: A new multiobjective evolutionary algorithm. Eur. J. Oper. Res. 140(1), 12–23 (2002)MathSciNetMATHCrossRef

78.

Schofield, J.: Google angles for business users with platform as a service. The Guardian. http://www.guardian.co.uk/technology/2008/apr/17/google.software (2008). Accessed 2012

79.

Shantanu, B.: Design of Iterative Mechanisms for Combinatorial Auctions and Exchanges. Ph.D Thesis, Computer Science and Automation Indian Institute of Science Bangalore (2004)

80.

Sobolewski, M., Kolonay, R.M., Sobolewski, M., Kolonay, R.M.: Federated grid computing with interactive service-oriented programming. Int. J. Concurrent Eng. Res. Appl. 14, 55–66 (2006)CrossRef

81.

Sotomayor, B., Montero, R.S., Llorente, I.M., Foster, I.: Resource leasing and the art of suspending virtual machines. In: 11th IEEE International Conference on High Performance Computing and Communications, pp. 59–68, Seoul, South Korea (2009)

82.

Stanley, M.: Technology trends. http://www.morganstanley.com. Accessed June 2008

83.

Sun: Sun Microsystems’ open cloud platform. http://www.oracle.com/us/sun/index.html. Accessed Sept 2010

84.

Suznjevic, M., Matijasevic, M., Dobrijevic, O.: Action specific massive multiplayer online role playing games traffic analysis: case study of world of warcraft. In: NetGames’08: Proceedings of the 7th ACM SIGCOMM Workshop on Network and System Support for Games, pp. 106–107. ACM, New York, USA (2008)

85.

Suzuki, K., Yokoo, M.: Secure generalized vickrey auction using homomorphic encryption. In: Financial Cryptography. Lecture Notes in Computer Science, vol. 2742, pp. 239–249. Springer, Berlin (2003)

86.

Tubanos, A.: Flexiscale suffers 18-hour outage. http://www.thewhir.com/web-hosting-news/103108_FlexiScale_Suffers_18_Hour_Outage. Accessed 31 Oct 2008

87.

Van Hoesel, S., Muller, R.: Optimization in electronic markets: examples in combinatorial auctions. Netnomics 3(1), 23–33 (2001)CrossRef

88.

Varvello, M., Voelker, G.M.: Second Life: a social network of humans and bots. In: Nosdav’2010, 20th International Workshop on Network and Operating Systems Support for Digital Audio and Video, 2–4 June 2010, Amsterdam, The Netherlands (2010). doi:10.1145/1806565.1806570

89.

Vickrey, W.: Counterspeculation, auctions, and competitive sealed tenders. J. Finance 16, 8–37 (1961)CrossRef

90.

Wang, Z.J., Xu, X.F., Zhan, D.C.: Genetic algorithms for collaboration cost optimization-oriented partner selection in virtual enterprises. Int. J. Prod. Res. 47(4), 859–881 (2009)CrossRef

91.

Williams, A.: Top 5 cloud outages of the past two years: Lessons Learned. http://www.readwriteweb.com/cloud/2010/02/top-5-cloud-outages-of-the-pas.php. Accessed Feb 2010

92.

Wu, N., Su, P.: Selection of partners in virtual enterprise paradigm. Robot. Comput. Integr. Manuf. 21(2), 119–131 (2005). DOI: 10.1016/j.rcim.2004.05.006. http://www.sciencedirect.com/science/article/B6V4P-4D4D1GP-2/2/ef5b5f277e3dc17aadba73be632c2771

93.

Yang, T., Hung, C.C.: Multiple-attribute decision making methods for plant layout design problem. Robot. Comput. Integr. Manuf. 23(1), 126–137 (2007). doi:http://dx.doi.org/10.1016/j.rcim.2005.12.002

94.

Ye, F., Li, Y.N.: Group multi-attribute decision model to partner selection in the formation of virtual enterprise under incomplete information. Expert Syst. Appl. 36(5), 9350–9357 (2009). doi:http://dx.doi.org/10.1016/j.eswa.2009.01.015

95.

Yeh, W.C., Chuang, M.C.: Using multi-objective genetic algorithm for partner selection in green supply chain problems. Expert. Syst. Appl. 38(4), 4244–4253 (2011)CrossRef

96.

Yen, G., Lu, H.: Dynamic multiobjective evolutionary algorithm: adaptive cell-based rank and density estimation. IEEE Trans. Evol. Comput. 7(3), 253–274 (2003)CrossRef

97.

Yeo, C.S., Venugopal, S., Chu, X., Buyya, R.: Autonomic metered pricing for a utility computing service. Future Generat. Comput. Syst. 26(8), 1368–1380 (2010). doi:http://dx.doi.org/10.1016/j.future.2009.05.024

98.

Yokoo, M., Suzuki, K.: Secure multi-agent dynamic programming based on homomorphic encryption and its application to combinatorial auctions. In: AAMAS ’02: Proceedings of the first international joint conference on Autonomous agents and multiagent systems, pp. 112–119. ACM, New York (2002). doi:http://doi.acm.org/10.1145/544741.544770

99.

Youseff, L., Butrico, M., Da Silva, D.: Toward a unified ontology of cloud computing. In: Grid Computing Environments Workshop, 2008. GCE ’08, pp. 1–10 (2008). doi:10.1109/GCE.2008.4738443. http://dx.doi.org/10.1109/GCE.2008.4738443

100.

Zeng, Z., Li, Y., Li, S., Zhu, W.: A new algorithm for partner selection in virtual enterprise. In: PDCAT ’05: Proceedings of the Sixth International Conference on Parallel and Distributed Computing Applications and Technologies, pp. 884–886. IEEE Computer Society, Washington, DC (2005). doi:http://dx.doi.org/10.1109/PDCAT.2005.22

101.

Zhong, Y., Jian, L., Zijun, W.: An integrated optimization algorithm of GA and ACA-based approaches for modeling virtual enterprise partner selection. SIGMIS Database 40(2), 37–56 (2009)CrossRef

102.

Zitzler, E., Laumanns, M., Thiele, L.: SPEA2: Improving the strength pareto evolutionary algorithm for multiobjective optimization. In: Evolutionary Methods for Design Optimization and Control with Applications to Industrial Problems, pp. 95–100. International Center for Numerical Methods in Engineering, Athens, Greece (2001)

103.

Zizler, E., Thiele, L.: Multiobjective evolutionary algorithms: a comparative case study and the strength Pareto approach. IEEE Trans. Evol. Comput. 3(4), 257–271 (1999)CrossRef

Title: Multi-objective Optimization Model and Algorithms for Partner Selection
Authors: Mohammad Mehedi Hassan
Eui-Nam Huh
Publisher: Springer New York
Book: Dynamic Cloud Collaboration Platform
Print ISBN: 978-1-4614-5145-7

Electronic ISBN: 978-1-4614-5146-4

Copyright Year: 2013
DOI: https://doi.org/10.1007/978-1-4614-5146-4_4

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