Advertisement

Cloud service selection using cloud service brokers: approaches and challenges

  • Meysam Vakili
  • Neda Jahangiri
  • Mohsen Sharifi
Review Article
  • 16 Downloads

Abstract

Cloud computing users are faced with a wide variety of services to choose from. Consequently, a number of cloud service brokers (CSBs) have emerged to help users in their service selection process. This paper reviews the recent approaches that have been introduced and used for cloud service brokerage and discusses their challenges accordingly. We propose a set of attributes for a CSB to be considered effective. Different CSBs’ approaches are classified as either single service or multiple service models. The CSBs are then assessed, analyzed, and compared with respect to the proposed set of attributes. Based on our studies, CSBs with multiple service models that support more of the proposed effective CSB attributes have wider application in cloud computing environments.

Keywords

cloud service broker (CSB) cloud service selection cloud computing quality of service (QoS) 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Supplementary material

11704_2017_6124_MOESM1_ESM.ppt (303 kb)
Cloud service selection using cloud service brokers: approaches and challenges

References

  1. 1.
    Mell P, Grance P. The NIST Definition of Cloud Computing. NIST Special Publication 800–146, 2011Google Scholar
  2. 2.
    Wadhwa B, Jaitly A, Hasija N, Suri B. Cloud service brokers: addressing the new cloud phenomenon. In: Rajsingh E B, Bhojan A, Peter J D, eds. Informatics and Communication Technologies for Societal Development, Springer International Publishing, 2015, 29–40Google Scholar
  3. 3.
    Badidi E. A cloud service broker for SLA-based SaaS provisioning. In: Proceedings of International Conference on Information Society. 2013, 61–66Google Scholar
  4. 4.
    Shin Y R, Huh E N. Optimization for reasonable service price in broker based cloud service environment. In: Proceedings of the 4th International Conference on Innovative Computing Technology. 2014, 115–119Google Scholar
  5. 5.
    Buyya R, Ranjan R, Calheiros R N. InterCloud: utility-oriented federation of Cloud computing environments for scaling of application services. In: Proceedings of the 10th International Conference on Algorithms and Architectures for Parallel Processing. 2010, 13–31CrossRefGoogle Scholar
  6. 6.
    Ferrer A J, Hernández F, Tordsson J, Elmroth E, Ali-Eldin A, Zsigri C, Sirvent R, Guitart J, Badia R M, Djemame K, Ziegler W. OPTIMIS: a holistic approach to cloud service provisioning. Future Generation Computer Systems, 2012, 28(1), 66–77CrossRefGoogle Scholar
  7. 7.
    Simarro J L L, Moreno-Vozmediano R, Montero R S, Llorente I M. Dynamic placement of virtual machines for cost optimization in multicloud environments. In: Proceedings of International Conference on High Performance Computing and Simulation. 2011, 1–7Google Scholar
  8. 8.
    Liu F, Tong J, Mao J, Bohn R, Messina J, Badger L, Leaf D. NIST Cloud Computing Reference Architecture. NIST Special Publication 500, 2011Google Scholar
  9. 9.
    Grozev N, Buyya R. Inter-cloud architectures and application brokering: taxonomy and survey. Software: Practice and Experience, 2014, 44(3): 369–390Google Scholar
  10. 10.
    Sanchez F D, Al Zahr S, Gagnaire M, Laisne J P, Marshall I J. CompatibleOne: bringing cloud as a commodity. In: Proceedings of IEEE International Conference on Cloud Engineering. 2014, 397–402Google Scholar
  11. 11.
    Bhattacharya A, Choudhury S. Service insurance: a new approach in cloud brokerage. In: Chaki R, Saeed K, Choudhury S, et al, eds. Applied Computation and Security Systems. Springer International Publishing, 2015, 39–52Google Scholar
  12. 12.
    Song H, Bae C S, Lee J W, Youn C H. Utility adaptive service brokering mechanism for personal cloud service. In: Proceedings of Military Communications Conference, 2011, 1622–1627Google Scholar
  13. 13.
    Somasundaram T S, Govindarajan K, Rajagopalan M, Rao S M. A broker based architecture for adaptive load balancing and elastic resource provisioning and deprovisioning in multi-tenant based cloud environments. In: Proceedings of International Conference on Advances in Computing. 2012, 561–573Google Scholar
  14. 14.
    Ngan L D, Kanagasabai R. Owl-s based semantic cloud service broker. In: Proceedings of the 19th IEEE International Conference on Web Services. 2012, 560–567Google Scholar
  15. 15.
    Whaiduzzaman M, Haque M N, Rejaul Karim Chowdhury M, Gani A. A study on strategic provisioning of cloud computing services. The Scientific World Journal, 2014, 1–16Google Scholar
  16. 16.
    Sun L, Dong H, Hussain F K, Hussain O K, Chang E. Cloud service selection: state-of-the-art and future research directions. Journal of Network and Computer Applications, 2014, 45: 134–150CrossRefGoogle Scholar
  17. 17.
    Subha M, Banu MU. A survey on QoS ranking in cloud computing. International Journal of Emerging Technology and Advanced Engineering, 2014, 4(2): 482–488Google Scholar
  18. 18.
    Jula A, Sundararajan E, Othman Z. Cloud computing service composition: a systematic literature review. Expert Systems with Applications, 2014, 41(8): 3809–3824CrossRefGoogle Scholar
  19. 19.
    Chao K M, Anane R, Chen J H, Gatward R. Negotiating agents in a market-oriented grid. In: Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid. 2002, 436CrossRefGoogle Scholar
  20. 20.
    Kertész A, Kecskemeti G, Brandic I. An interoperable and selfadaptive approach for SLA-based service virtualization in heterogeneous Cloud environments. Future Generation Computer Systems, 2014, 32: 54–68CrossRefGoogle Scholar
  21. 21.
    Achar R, Thilagam P S. A broker based approach for cloud provider selection. In: Proceedings of International Conference on Advances in Computing, Communications and Informatics. 2014, 1252–1257Google Scholar
  22. 22.
    Schaffer H E. X as a service, cloud computing, and the need for good judgment. IT professional, 2009, 11(5): 4–5CrossRefGoogle Scholar
  23. 23.
    Ray B K, Khatua S, Roy S. Negotiation based service brokering using game theory. In: Proceedings of Applications and Innovations in Mobile Computing Conference. 2014, 1–8Google Scholar
  24. 24.
    Simarro J L L, Aniceto I S, Moreno-Vozmediano R, Montero R S, Llorente I M. A cloud broker architecture for multi-cloud environments. In: Proceedings of Large Scale Network-Centric Distributed Systems Conference. 2013, 359–376CrossRefGoogle Scholar
  25. 25.
    Brock M, Goscinski A. Enhancing Cloud Computing Environments using a Cluster as a Service. New York: Wiley Press, 2011CrossRefGoogle Scholar
  26. 26.
    Parhi M, Pattanayak B K, Patra M R. A multi-agent-based framework for cloud service description and discovery using ontology. In: Jain L C, Patnaik S, Ichalkaranje N, eds. Intelligent Computing, Communication and Devices, Springer International Publishing, 2015, 337–348CrossRefGoogle Scholar
  27. 27.
    Lee Y T, Wu C S. A quality-based semantic service broker using reachability indexes. In: Proceedings of IEEE World Forum on Internet of Things. 2014, 277–282Google Scholar
  28. 28.
    Anastasi G F, Carlini E, Coppola M, Dazzi P. QBROKAGE: a genetic approach for QoS cloud brokering. In: Proceedings of the 7th IEEE International Conference on Cloud Computing. 2014, 304–311Google Scholar
  29. 29.
    Pawluk P, Simmons B, Smit M, Litoiu M, Mankovski S. Introducing STRATOS: a cloud broker service. In: Proceedings of the 5th IEEE International Conference Cloud Computing. 2012, 891–898Google Scholar
  30. 30.
    Amato A, DiMartino B, Venticinque S. A Distributed Cloud Brokering Service. Informatica, 2015, 26(1): 1–15CrossRefGoogle Scholar
  31. 31.
    Haresh M, Kalady S, Govindan V. Agent based dynamic resource allocation on federated clouds. In: Proceedings of IEEE Conference on Recent Advances in Intelligent Computational Systems. 2011, 111–114Google Scholar
  32. 32.
    Li X, Ma H, Zhou F, Yao W. T-Broker: a trust-aware service brokering scheme for multiple cloud collaborative services. IEEE Transactions on Information Forensics and Security, 2015, 10(7): 1402–1415CrossRefGoogle Scholar
  33. 33.
    Sundareswaran S, Squicciarini A, Lin D. A brokerage-based approach for cloud service selection. In: Proceedings of the 5th IEEE International Conference on Cloud Computing. 2012, 558–565Google Scholar
  34. 34.
    Lim E, Thiran P. Communication of technical QoS among cloud brokers. In: Proceedings of IEEE International Conference on Cloud Engineering. 2014, 403–409Google Scholar
  35. 35.
    Garg S K, Versteeg S, Buyya R. SMICloud: A framework for comparing and ranking cloud services. In: Proceedings of the 4th IEEE International Conference on Utility and Cloud Computing. 2011, 210–218Google Scholar
  36. 36.
    Tordsson J, Montero R S, Moreno-Vozmediano R, Llorente I M. Cloud brokering mechanisms for optimized placement of virtual machines across multiple providers. Future Generation Computer Systems, 2012, 28(2): 358–367CrossRefGoogle Scholar
  37. 37.
    Anastasi G F, Carlini E, Coppola M, Dazzi P. Smart cloud federation simulations with CloudSim. In: Proceedings of the 1st ACM Workshop on Optimization Techniques for Resource Management in Clouds. 2013, 9–16Google Scholar
  38. 38.
    Ye Z, Zhou X, Bouguettaya A. Genetic algorithm based QoS-aware service compositions in cloud computing. In: Proceedings of the 16th International Conference on Database systems for advanced applications. 2011, 321–334CrossRefGoogle Scholar
  39. 39.
    Li X, Yang Y. Trusted data acquisition mechanism for cloud resource scheduling based on distributed agents. China Communication, 2011, 8(6): 108–116Google Scholar
  40. 40.
    Smit M, Pawluk P, Simmons B, Litoiu M. A web service for cloud metadata. In: Proceedings of the 8th IEEE World Congress Services. 2012, 361–368Google Scholar
  41. 41.
    Shoham Y, Leyton-Brown K. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge: Cambridge University Press, 2008CrossRefMATHGoogle Scholar
  42. 42.
    Li X, Zhou F. PG-TRUST: a self-adaptive and scalable trust computing model for large-scale peer-to-peer grid computing. International Journal of Software Engineering and Knowledge Engineering, 2011, 21(5): 667–692CrossRefGoogle Scholar
  43. 43.
    Yoon K P, Hwang C L. Multiple attribute decision making: an introduction. Sage Publications, 1995CrossRefGoogle Scholar
  44. 44.
    Siegel J, Perdue J. Cloud services measures for global use: the service measurement index (SMI). In: Proceedings of SRII Global Conference. 2012, 411–415Google Scholar
  45. 45.
    Saaty T L. How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 1990, 48(1): 9–26CrossRefMATHGoogle Scholar
  46. 46.
    Kalepu S, Krishnaswamy S, Loke SW. Verity: a QoS metric for selecting Web services and providers. In: Proceedings of the 4th Conference on Web Information Systems Engineering Workshops. 2003, 131–139Google Scholar
  47. 47.
    AlZain M, Pardede E, Soh B, Thom J. Cloud computing security: from single to multi-clouds. In: Proceedings of the 45th International Conference on System Science. 2012, 5490–5499Google Scholar
  48. 48.
    Vukolić M. The Byzantine empire in the intercloud. ACM SIGACT News, 2010, 41(3): 105–111CrossRefGoogle Scholar
  49. 49.
    Alhamad M, Dillon T, Chang E. Conceptual SLA framework for cloud computing. In: Proceedings of the 4th IEEE International Conference on Digital Ecosystems and Technologies. 2010, 606–610CrossRefGoogle Scholar
  50. 50.
    Sotomayor B, Montero R S, Llorente I M, Foster I. Virtual infrastructure management in private and hybrid clouds. IEEE Internet Computing, 2009, 13(5): 14–22CrossRefGoogle Scholar
  51. 51.
    Aslam M A, Auer S, Shen J, Herrmann M. Expressing business process models as OWL-S ontologies. In: Proceedings of Business Process Management Workshops. 2006, 400–415CrossRefGoogle Scholar
  52. 52.
    Gonzalez-Castillo J, Trastour D, Bartolini C. Description logics for matchmaking of services. In: Proceedings of Workshop on Applications of Description Logics. 2002Google Scholar
  53. 53.
    Ngan L D, Tsai Flora S, Keong C C, Kanagasabai R. Towards a common benchmark framework for cloud brokers. In: Proceedings of the 18th IEEE International Conference on Parallel and Distributed Systems. 2012, 750–754Google Scholar
  54. 54.
    Neapolitan R, Naimipour K. Foundations of algorithms. Swdbury, Mass: Jones & Bartlett Publishers, 2010MATHGoogle Scholar
  55. 55.
    Karim R, Ding C, Miri A. An end-to-end QoS mapping approach for cloud service selection. In: Proceedings of the 9th IEEE World Congress on Services. 2013, 341–348Google Scholar
  56. 56.
    Komninos N, Junejo A K. (2015, December). Privacy preserving attribute based encryption for multiple cloud collaborative environment. In: Proceedings of the 8th IEEE/ACM International Conference on Utility and Cloud Computing. 2015, 595–600Google Scholar
  57. 57.
    Juan-Verdejo A, Zschaler S, Surajbali B, Baars H, Kemper H G. In-CLOUDer: a formalized decision support modelling approach to migrate applications to cloud environments. In: Proceedings of the 40th EUROMICRO Conference on Software Engineering and Advanced Applications. 2014, 467–474Google Scholar
  58. 58.
    Grozev N, Buyya R. Multi-cloud provisioning and load distribution for three-tier applications. ACM Transactions on Autonomous and Adaptive Systems, 2014, 9(3): 13CrossRefGoogle Scholar
  59. 59.
    Simarro J L L, Moreno-Vozmediano R, Montero R S, Llorente I M. Scheduling strategies for optimal service deployment across multiple clouds. Future Generation Computer Systems, 2013, 29(6): 1431–1441CrossRefGoogle Scholar
  60. 60.
    Amato A, Di Martino B, Venticinque S. Evaluation and brokering of service level agreements for negotiation of cloud infrastructures. In: Proceedings of International Conference Internet Technology and Secured Transactions. 2012, 144–149Google Scholar
  61. 61.
    Afify Y M, Moawad I F, Badr N L, Tolba M. Cloud services discovery and selection: survey and new semantic-based system. In: Hassanien A E, Kim T H, Kacprzyk J, et al. eds. Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations, Springer International Publishing, 2014. 449–477Google Scholar
  62. 62.
    Afify Y M, Moawad I F, Badr N L, Tolba M. A semantic-based software-as-a-service (SaaS) discovery and selection system. In: Proceedings of the 8th International Conference on Computer Engineering & Systems. 2013, 57–63Google Scholar

Copyright information

© Higher Education Press and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Department of Computer EngineeringUniversity of Science and CultureTehranIran
  2. 2.School of Computer EngineeringIran University of Science and TechnologyTehranIran

Personalised recommendations