Abstract
Cloud computing is considered the new paradigm in computing that would make computing a utility. Once the cloud computing becomes available widespread, many service providers would market their services at different qualities and prices. When this happens, the customers would be required to select the right service provider who could meet their anticipated quality. A trust management system would identify the quality of service providers and help customers to choose the right provider. Designing a trust management system is a difficult task, as it requires the consideration of several attributes both local and external to the system. In this paper, the authors propose that the Bees Algorithm that was used to solve issues in diverse fields could be successfully adapted to address the trust issue in the cloud computing system. The authors justify their proposition based on the comparative study carried out on cloud computing and the bees environments.
Access provided by Autonomous University of Puebla. Download to read the full chapter text
Chapter PDF
Similar content being viewed by others
References
Buyya, R., Chee, S.Y., Venugopal, S., Broberg, J., Brandic, I.: Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality for Delivering Computing as the 5th Utility. Future Generation Computer Systems 26(6), 599–616 (2009)
Zaman, S., Grosu, D.: Combinatorial Auction-based Allocation of Virtual Machine Instances in Clouds. In: 2nd IEEE International Conference on Cloud Computing Technology and Science (CloudCom), pp. 127–134. IEEE Press, New York (2010)
Firdhous, M., Ghazali, O., Hassan, S.: A Trust Computing Mechanism for Cloud Computing with Multilevel Thresholding. In: 6th International Conference on Industrial and Information Systems (ICIIS), pp. 457–461. IEEE Press, New York (2011)
Buyya, R., Pandey, S., Vecchiola, C.: Cloudbus Toolkit for Market-Oriented Cloud Computing. In: Jaatun, M.G., Zhao, G., Rong, C. (eds.) CloudCom 2009. LNCS, vol. 5931, pp. 24–44. Springer, Heidelberg (2009)
Prodan, R., Ostermann, S.: A Survey and Taxonomy of Infrastructure as a Service and Web Hosting Cloud Providers. In: 10th IEEE/ACM International Conference on Grid Computing, pp. 17–25. IEEE Press, New York (2009)
Aljazzaf, Z.M., Perry, M., Capretz, M.A.M.: Online Trust: Definition and Principles. In: 5th International Multi-Conference on Computing in the Global Information Technology (ICCGI), pp. 163–168. IEEE Press, New York (2010)
Firdhous, M., Ghazali, O., Hassan, S.: Trust Management in Cloud Computing A Critical Review. International Journal on Advances in ICT for Emerging Regions (ICTer) 4(2), 24–36 (2011)
Khan, K.M., Malluhi, Q.: Establishing Trust in Cloud Computing. IT Professional 12(5), 20–27 (2010)
Song, Z., Molina, J., Strong, C.: Trusted Anonymous Execution: A Model to RaiseTrust in Cloud. In: 9th International Conference on Grid and Cooperative Computing (GCC), pp. 133–138. IEEE Press, New York (2010)
Sato, H., Kanai, A., Tanimoto, S.: A Cloud Trust Model in a Security Aware Cloud. In: 10th IEEE/IPSJ International Symposium on Applications and the Internet (SAINT), pp. 121–124. IEEE Press, New York (2010)
Wang, T.F., Ye, B.S., Li, Y.W., Yang, Y.: Family Gene based Cloud Trust Model. In: International Conference on Educational and Network Technology (ICENT), pp. 540–544. IEEE Press, New York (2010)
Shen, Z., Li, L., Yan, F., Wu, X.: Cloud Computing System Based on TrustedComputing Platform. In: International Conference on Intelligent Computation Technology and Automation (ICICTA), pp. 942–945. IEEE Press, New York (2010)
Firdhous, M., Ghazali, O., Hassan, S.: A Trust Computing Mechanism for Cloud Computing. In: 4th ITU-T Kaleidoscope Academic Conference: The Fully Networked Human? Innovations for Future Networks and Services. IEEE Press, New York (2011)
Wilson, E.O.: Sociobiology: The New Synthesis. Harvard University Press, Boston (2000)
Lazaryan, D.S., Sotnikova, E.M., Evtushenko, N.S.: Standardization of Bee Brood Homogenate Composition. Pharmaceutical Chemistry Journal 37(11), 614–616 (2003)
Needham, A.W.: The E-Book on Honey Bees (2010), http://www.beginningbeekeeping.com/TheE-BookOnHoneyBees.pdf
Pham, D.T., Ghanbarzadeh, A., Ko, E., Otri, S., Rahim, S., Zaidi, M.: The Bees Algorithm A Novel Tool for Complex Optimisation Problems. In: Pham, D.T., Eldukhri, E.E., Soroka, A.J. (eds.) Proccedings of the 2nd I*PROMS Virtual International Conference, pp. 454–459. Elsevier, London (2006)
Mahmuddin, M.: Optimisation using Bees Algorithm on Unlabelled Data Problems. PhD Thesis, Cardiff University, Wales, UK (2008)
Pham, D.T., Afify, A., Koc, E.: Manufacturing Cell Formation using the Bees Algorithm. In: I*PROMS 2007 Innovative Production Machines and Systems Virtual Conference (2007)
Pham, D.T., Soroka, A.J., Ghanbarzadeh, A., Koc, E., Otri, S., Packianather, M.: Optimising Neural Networks for Identification of Wood Defects using the Bees Algorithm. In: IEEE International Conference on Industrial Informatics. IEEE Press, New York (2006)
Marinakis, Y., Marinaki, M.: A Hybrid Honey Bees Mating Optimization Algorithm for the Probabilistic Travelling Salesman Problem. In: 11th IEEE Congress on Evolutionary Computation (CEC 2009). IEEE Press, New York (2009)
Haddad, O.B., Afshar, A., Marino, M.A.: Honey-Bees Mating Optimization (HBMO) Algorithm: A New Heuristic Approach for Water Resources Optimization. Water Resources Management 20(5), 661–680 (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2012 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Firdhous, M., Ghazali, O., Hassan, S. (2012). Applying Bees Algorithm for Trust Management in Cloud Computing. In: Hart, E., Timmis, J., Mitchell, P., Nakamo, T., Dabiri, F. (eds) Bio-Inspired Models of Networks, Information, and Computing Systems. BIONETICS 2011. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 103. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32711-7_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-32711-7_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-32710-0
Online ISBN: 978-3-642-32711-7
eBook Packages: Computer ScienceComputer Science (R0)