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Soft Computing
Published in: Soft Computing 24/2018

21-08-2017 | Methodologies and Application

CSA-WSC: cuckoo search algorithm for web service composition in cloud environments

Authors: Mostafa Ghobaei-Arani, Ali Asghar Rahmanian, Mohammad Sadegh Aslanpour, Seyed Ebrahim Dashti

Published in: Soft Computing | Issue 24/2018

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Abstract

In recent years, service-based applications are deemed to be one of the new solutions to build an enterprise application system. In order to answer the most demanding needs or adaptations to the needs of changed services quickly, service composition is currently used to exploit the multi-service capabilities in the Information Technology organizations. While web services, which have been independently developed, may not always be compatible with each other, the selection of optimal services and composition of these services are seen as a challenging issue. In this paper, we present cuckoo search algorithm for web service composition problem which is called ‘CSA-WSC’ that provides web service composition to improve the quality of service (QoS) in the distributed cloud environment. The experimental results indicate that the CSA-WSC compared to genetic search skyline network (GS-S-Net) and genetic particle swarm optimization algorithm (GAPSO-WSC) reduces the costs by 7% and responding time by 6%, as two major reasons for the reduction of improvement of the quality of service. It also increases provider availability up to 7.25% and the reliability to 5.5%, as the two important QoS criteria for improving the quality of service.
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Literature
Bauer E, Adams R (2012) Reliability and availability of cloud computing. Wiley, HobokenCrossRef
Buyya R, Broberg J, Goscinski AM (2010) Cloud computing: principles and paradigms, vol 87. Wiley, Hoboken
Calheiros RN, Ranjan R, Beloglazov A, De Rose CA, Buyya R (2011) CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms. Softw Pract Exp 41(1):23–50CrossRef
Chen F, Dou R, Li M, Wu H (2016) A flexible QoS-aware Web service composition method by multi-objective optimization in cloud manufacturing. Comput Ind Eng 99:423–431CrossRef
Faruk MN, Prasad GLV, Divya G (2016) A genetic PSO algorithm with QoS-aware cluster cloud service composition. In: Thampi MS, Bandyopadhyay S, Krishnan S, Li K-C, Mosin S, Ma M (eds) Advances in signal processing and intelligent recognition systems. Springer, Cham, pp 395–405CrossRef
Fouladgar N, Lotfi S (2016) A novel approach for optimization in dynamic environments based on modified cuckoo search algorithm. Soft Comput 20(7):2889–2903CrossRef
Ghobaei-Arani M, Shamsi M (2015) An extended approach for efficient data storage in cloud computing environment. Int J Comput Netw Inf Secur 7(8):30
Ghobaei-Arani M, Jabbehdari S, Pourmina MA (2016) An autonomic approach for resource provisioning of cloud services. Cluster Comput 19(3):1017–1036CrossRef
Gholami A, Ghobaei-Arani M (2015) A trust model based on quality of service in cloud computing environment. Int J Database Theor Appl 8(5):161–170CrossRef
Huo Y, Zhuang Y, Gu J, Ni S, Xue Y (2015) Discrete gbest-guided artificial bee colony algorithm for cloud service composition. Appl Intell 42(4):661–678CrossRef
Jula A, Sundararajan E, Othman Z (2014) Cloud computing service composition: a systematic literature review. Expert Syst Appl 41(8):3809–3824CrossRef
Karimi MB, Isazadeh A, Rahmani AM (2016) QoS-aware service composition in cloud computing using data mining techniques and genetic algorithm. J Supercomput 73(4):1387–1415CrossRef
Klein A, Ishikawa F, Honiden S (2014) SanGA: a self-adaptive network-aware approach to service composition. IEEE Trans Serv Comput 7(3):452–464CrossRef
Koren I, Krishna CM (2010) Fault-tolerant systems. Morgan Kaufmann, BurlingtonMATH
Kurdi H, Al-Anazi A, Campbell C, Al Faries A (2015) A combinatorial optimization algorithm for multiple cloud service composition. Comput Electric Eng 42:107–113CrossRef
Lartigau J, Xu X, Nie L, Zhan D (2015) Cloud manufacturing service composition based on QoS with geo-perspective transportation using an improved Artificial Bee Colony optimization algorithm. Int J Prod Res 53(14):4380–4404CrossRef
Liu B, Zhang Z (2016) QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups. Int J Adv Manuf Technol 88(9–12):2757–2771
Piprani B, Sheppard D, Barbir A (2013) Comparative analysis of SOA and cloud computing architectures using fact based modeling. In: Demey YT, Panetto H (eds) On the move to meaningful internet systems: OTM 2013 Workshops. Springer, Berlin, Heidelberg, pp 524–533CrossRef
Portchelvi V, Venkatesan VP, Shanmugasundaram G (2012) Achieving web services composition-a survey. Softw Eng 2(5):195–202
Rajabioun R (2011) Cuckoo optimization algorithm. Appl. Soft Comput 11(8):5508–5518CrossRef
Seghir F, Khababa A (2016) A hybrid approach using genetic and fruit fly optimization algorithms for QoS-aware cloud service composition. J Intell Manuf. doi:10.​1007/​s10845-016-1215-0
Simon B, Goldschmidt B, Kondorosi K (2013) A metamodel for the web services standards. J Grid Comput 11(4):735–752CrossRef
Wang S, Sun Q, Zou H, Yang F (2013) Particle swarm optimization with skyline operator for fast cloud-based web service composition. Mobile Netw Appl 18(1):116–121CrossRef
Wang D, Yang Y, Mi Z (2015) A genetic-based approach to web service composition in geo-distributed cloud environment. Comput Electric Eng 43:129–141CrossRef
Wang GG, Deb S, Gandomi AH, Zhang Z, Alavi AH (2016a) Chaotic cuckoo search. Soft Comput 20(9):3349–3362CrossRef
Wang H, Wang W, Sun H, Cui Z, Rahnamayan S, Zeng S (2016b) A new cuckoo search algorithm with hybrid strategies for flow shop scheduling problems. Soft Comput 18(1):116–121
Yu Q, Chen L, Li B (2015) Ant colony optimization applied to web service compositions in cloud computing. Comput Electric Eng 41:18–27CrossRef
Zhao X, Shen L, Peng X, Zhao W (2015) Toward SLA-constrained service composition: an approach based on a fuzzy linguistic preference model and an evolutionary algorithm. Inf Sci 316:370–396CrossRef
Zhou J, Yao X (2016) A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition. Int J Adv Manuf Technol 88(9–12):3371–3387
Metadata
Title
CSA-WSC: cuckoo search algorithm for web service composition in cloud environments
Authors
Mostafa Ghobaei-Arani
Ali Asghar Rahmanian
Mohammad Sadegh Aslanpour
Seyed Ebrahim Dashti
Publication date
21-08-2017
Publisher
Springer Berlin Heidelberg
Published in
Soft Computing / Issue 24/2018
Print ISSN: 1432-7643
Electronic ISSN: 1433-7479
DOI
https://doi.org/10.1007/s00500-017-2783-4

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