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.
Article PDF
Similar content being viewed by others
Explore related subjects
Discover the latest articles, news and stories from top researchers in related subjects.Avoid common mistakes on your manuscript.
References
Mell P, Grance P. The NIST Definition of Cloud Computing. NIST Special Publication 800–146, 2011
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, 29–40
Badidi E. A cloud service broker for SLA-based SaaS provisioning. In: Proceedings of International Conference on Information Society. 2013, 61–66
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, 115–119
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, 13–31
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), 66–77
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, 1–7
Liu F, Tong J, Mao J, Bohn R, Messina J, Badger L, Leaf D. NIST Cloud Computing Reference Architecture. NIST Special Publication 500, 2011
Grozev N, Buyya R. Inter-cloud architectures and application brokering: taxonomy and survey. Software: Practice and Experience, 2014, 44(3): 369–390
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, 397–402
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, 39–52
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, 1622–1627
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, 561–573
Ngan L D, Kanagasabai R. Owl-s based semantic cloud service broker. In: Proceedings of the 19th IEEE International Conference on Web Services. 2012, 560–567
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, 1–16
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: 134–150
Subha M, Banu MU. A survey on QoS ranking in cloud computing. International Journal of Emerging Technology and Advanced Engineering, 2014, 4(2): 482–488
Jula A, Sundararajan E, Othman Z. Cloud computing service composition: a systematic literature review. Expert Systems with Applications, 2014, 41(8): 3809–3824
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, 436
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: 54–68
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, 1252–1257
Schaffer H E. X as a service, cloud computing, and the need for good judgment. IT professional, 2009, 11(5): 4–5
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, 1–8
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, 359–376
Brock M, Goscinski A. Enhancing Cloud Computing Environments using a Cluster as a Service. New York: Wiley Press, 2011
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, 337–348
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, 277–282
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, 304–311
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, 891–898
Amato A, DiMartino B, Venticinque S. A Distributed Cloud Brokering Service. Informatica, 2015, 26(1): 1–15
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, 111–114
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): 1402–1415
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, 558–565
Lim E, Thiran P. Communication of technical QoS among cloud brokers. In: Proceedings of IEEE International Conference on Cloud Engineering. 2014, 403–409
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, 210–218
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): 358–367
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, 9–16
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, 321–334
Li X, Yang Y. Trusted data acquisition mechanism for cloud resource scheduling based on distributed agents. China Communication, 2011, 8(6): 108–116
Smit M, Pawluk P, Simmons B, Litoiu M. A web service for cloud metadata. In: Proceedings of the 8th IEEE World Congress Services. 2012, 361–368
Shoham Y, Leyton-Brown K. Multiagent Systems: Algorithmic, Game-Theoretic, and Logical Foundations. Cambridge: Cambridge University Press, 2008
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): 667–692
Yoon K P, Hwang C L. Multiple attribute decision making: an introduction. Sage Publications, 1995
Siegel J, Perdue J. Cloud services measures for global use: the service measurement index (SMI). In: Proceedings of SRII Global Conference. 2012, 411–415
Saaty T L. How to make a decision: the analytic hierarchy process. European Journal of Operational Research, 1990, 48(1): 9–26
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, 131–139
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, 5490–5499
Vukolić M. The Byzantine empire in the intercloud. ACM SIGACT News, 2010, 41(3): 105–111
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, 606–610
Sotomayor B, Montero R S, Llorente I M, Foster I. Virtual infrastructure management in private and hybrid clouds. IEEE Internet Computing, 2009, 13(5): 14–22
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, 400–415
Gonzalez-Castillo J, Trastour D, Bartolini C. Description logics for matchmaking of services. In: Proceedings of Workshop on Applications of Description Logics. 2002
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, 750–754
Neapolitan R, Naimipour K. Foundations of algorithms. Swdbury, Mass: Jones & Bartlett Publishers, 2010
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, 341–348
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, 595–600
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, 467–474
Grozev N, Buyya R. Multi-cloud provisioning and load distribution for three-tier applications. ACM Transactions on Autonomous and Adaptive Systems, 2014, 9(3): 13
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): 1431–1441
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, 144–149
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. 449–477
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, 57–63
Author information
Authors and Affiliations
Corresponding author
Additional information
Meysam Vakili received his BS degree in software engineering from University of Fasa, Fars, Iran in 2011, and MS degree in software engineering from University of Science and Culture, Tehran, Iran in 2014. His research interests include distributed systems, Internet of Things, cloud computing, and complex event processing.
Neda Jahangiri received her BS degree in software engineering in 2012, and MS degree in software engineering from University of Science and Culture, Tehran, Iran in 2015. Her research interests include cloud computing and databases.
Mohsen Sharifi is a professor of System Software Engineering at the School of Computer Engineering at Iran University of Science and Technology, Iran. He directs a distributed systems research group and laboratory. His main interest is in the development of distributed systems, solutions, and applications, particularly for use in various fields of science. The development of a true distributed operating system is on top of his wish list. He received his BS, MS, and PhD degrees in computer science from the University of Manchester, UK.
Electronic supplementary material
Rights and permissions
About this article
Cite this article
Vakili, M., Jahangiri, N. & Sharifi, M. Cloud service selection using cloud service brokers: approaches and challenges. Front. Comput. Sci. 13, 599–617 (2019). https://doi.org/10.1007/s11704-017-6124-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11704-017-6124-7