Curbera, F., Duftler, M., Khalaf, R., Nagy, W., Mukhi, N., & Weerawarana, S., “Unraveling the Web Services Web: an Introduction to SOAP, WSDL, and UDDI”,
IEEE Internet Computing, Vol. 6, No. 2, (2002), 86-93. DOI:
10.1109/4236.991449
Guinard, D., Trifa, V., Karnouskos, S., Spiess, P., & Savio, D., “Interacting with the SOA-based Internet of Things: Discovery, Query, Selection, and on-demand Provisioning of Web Services”,
IEEE Transactions on Services Computing, Vol. 3, No. 3, (2010), 223-235. DOI:
10.1109/TSC.2010.3
Du, Y., Hu, H., Song, W., Ding, J., & Lü, J., “Efficient Computing Composite Service Skyline with QoS Correlations”, In 2015 IEEE International Conference on Services Computing, (2015), 41-48. DOI:
10.1109/SCC.2015.16
Gabrel, V., Manouvrier, M., & Murat, C., “Web Services Composition: Complexity and Models”,
Discrete AppliedMathematics, Vol. 196, (2015), 100-114. DOI:
10.1016/j.dam.2014.10.020
Cui, L., Kumara, S., & Lee, D., “Scenario Analysis of Web Service Composition based on Multi- Criteria Mathematical Goal Programming”,
Service Science, Vol. 3, No. 4, (2011), 280-303. DOI:
10.1287/serv.3.4.280
Bypour, H., Farhadi, M., & Mortazavi, R., “An Efficient Secret Sharing-based Storage System for Cloud-based Internet of Things”,
International Journal of Engineering, Vol. 32, No. 8, (2019), 1117-1125. DOI:
10.5829/ije.2019.32.08b.07
Jeyanthi, N., Shabeeb, H., Durai, M. S., & Thandeeswaran, R., “Reputation based Service for Cloud User Environment”,
International Journal of Engineering, Transactions B: Applications, Vol.27, No. 8, (2014), 1179-1184. DOI:
10.5829/idosi.ije.2014.27.08b.03
Jula, A., Sundararajan, E., & Othman, Z., “Cloud Computing Service Composition: A Systematic Literature Review”,
Expert Systems with Applications, Vol. 41, No. 8, (2014), 3809-3824. DOI:
10.1016/j.eswa.2013.12.017
Microsoft Communication & Media Industries, "Multi-Cloud Service Delivery end-to-end Management," Ref.architecture, 2013. https://cloudblogs.microsoft.c om/industry-blog/industry/uncategorized/multi-cloud- service-delivery-and-end-to-end-management-reference- architecture/
Venkat, M., 2016. Enterprise cloud strategy: Governance IBM.
https://www.ibm.com/blogs
/cloud-computing/2016/11/03/enterprise-governance-multi-cloud/
Yu, Q., & Bouguettaya, A., “Efficient Service Skyline Computation for Composite Service Selection”,
IEEE Transactions on Knowledge and Data Engineering, Vol. 5, No. 4, (2013), 776-789. DOI:
10.1109/TKDE.2011.268
Belkasmi, D., Hadjali, A., & Azzoune, H., “On Fuzzy Approaches for Enlarging Skyline Query Results”,
Applied Soft Computing, Vol. 74, (2019), 51-65. DOI:
10.1016/j.asoc.2018.10.013
Elmi, S., & Min, J. K., “Spatial Skyline Queries over Incomplete Data for Smart Cities”,
Journal of Systems Architecture, Vol. 90, (2018), 1-14. DOI:
10.1016/j.sysarc.2018.08.005
Lim, J., Li, H., Bok, K., & Yoo, J., “A Continuous Reverse Skyline Query Processing Method in Moving Objects Environments”,
Data & Knowledge Engineering, Vol. 104, (2016), 45-58. DOI:
10.1016/j.datak.2015.05.003
Yang, Z., Li, K., Zhou, X., Mei, J., & Gao, Y., “Top k Probabilistic Skyline Queries on Uncertain Data”,
Neurocomputing, Vol. 317, (2018), 1-14. DOI:
10.1016/j.neucom.2018.03.052
Zou, G., Chen, Y., Yang, Y., Huang, R., & Xu,Y., “AI Planning and Combinatorial Optimization for Web Service Composition in Cloud Computing”, In Proccedding of the International Conference on Cloud Computing and Virtualization, (2010), 1-8. DOI:
10.5176/978-981-08-5837-7_166
Gutierrez-Garcia, J. O., & Sim, K. M., “Agent-based Cloud Service Composition”,
Applied Intelligence, Vol. 38, No. 3, (2013), 436-464. DOI:
10.1007/s10489-012-0380-x
Jatoth, C., Gangadharan, G.R., & Buyya, R., “Optimal Fitness Aware Cloud Service Composition using an Adaptive Genotypes Evolution based Genetic Algorithm”,
Future Generation Computer Systems, Vol. 94, (2019), 185-198. DOI:
10.1016/j.future.2018.11.022
Jatoth, C., Gangadharan, G. R., & Fiore, U., “Optimal Fitness Aware Cloud Service Composition using Modified Invasive Weed Optimization”,
Swarm and Evolutionary Computation, Vol. 44, (2019), 1073-1091. DOI:
10.1016/j.swevo.2018.11.001
Gavvala, S. K., Jatoth, C., Gangadharan, G. R., & Buyya, R., “QoS-Aware Cloud Service Composition using Eagle Strategy”,
Future Generation Computer Systems, Vol. 90, (2019), 273-290. DOI:
10.1016/j.future.2018.07.062
Yu, Q., Chen, L., & Li, B., “Ant Colony Optimization Applied to Web Service Compositions in Cloud Computing”,
Computers & Electrical Engineering, Vol. 41, (2015), 18-27. DOI:
10.1016/j.compeleceng.2014.12.004
Kurdi, H., Al-Anazi, A., Campbell, C., & Al Faries, A., “A Combinatorial Optimization Algorithm for Multiple Cloud Service Composition”,
Computers & Electrical Engineering, Vol. 42, (2015), 107-113. DOI:
10.1016/j.compeleceng.2014.11.002
Mezni, H., & Sellami, M., “Multi-Cloud Service Composition using Formal Concept Analysis”,
Journal of Systems and Software, Vol. 134, (2017), 138-152. DOI:
10.1016/j.jss.2017.08.016
Mezni, H., & Abdeljaoued, T., “A Cloud Services Recommendation System based on Fuzzy Formal Concept Analysis”,
Data & Knowledge Engineering, Vol. 116, (2018), 100-123. DOI:
10.1016/j.datak.2018.05.008
Wu, J., Chen, L., & Liang, T., “Selecting Dynamic Skyline Services for QoS-based Service Composition”,
Applied Mathematics & Information Sciences, Vol. 8, No. 5, (2014), 2579. DOI: DOI:
10.1145/1772690.1772693
Zhang, F., Hwang, K., Khan, S., & Malluhi, Q., “Skyline Discovery and Composition of Inter-Cloud Mashup Services”,
IEEE Transactions on Services Computing, Vol. 9, No. 1, (2016), 72-83. DOI:
10.1109/TSC.2015.2449302
Zhang, J., Jiang, X., Ku, W. S., & Qin, X., “Efficient Parallel Skyline Evaluation using Mapreduce”,
IEEE Transactions on Parallel and Distributed Systems, Vol. 27, No. 7, (2016), 1996-2009. DOI:
10.1109/TPDS.2015.2472016
Liu, Y., Yang, R., & Zhang, S., “Service Selection Method based on Skyline in Cloud Environment”,
International Journal of Performability Engineering, Vol. 13, No. 7, (2017). DOI:
10.23940/ijpe.17.07.p5.10391047
Moradi, M., & Emadi, S., “Reducing the Calculations of Quality-Aware Web Services Composition Based on Parallel Skyline Service”,
International Journal of Advanced Computer Science and Applications, Vol. 7, No. 7, (2016). DOI:
10.14569/IJACSA.2016.070744
Borzsony, S., Kossmann, D., & Stocker, K., “The skyline Operator”, In Proceedings 17th IEEE International Conference on Data Engineering, (2001), 421- 430. DOI:
10.1109/ICDE.2001.914855
Papadias, D., Tao, Y., Fu, G., & Seeger, B., “Progressive skyline Computation in Database Systems”,
ACM Transactions on Database Systems, Vol. 30, No. 1, (2005), 41-82. DOI:
10.1145/1061318.1061320
Wang, Y., Song, Y., & Liang, M., “A Skyline-based Efficient Web Service Selection Method Supporting Frequent Requests”, In 2016 IEEE 20th International Conference on Computer Supported Cooperative Work in Design (CSCWD), (2016), 328-333. DOI:
10.1109/CSCWD.2016.7566009
Fariss, M., Asaidi, H., & Bellouki, M., “Comparative Study of Skyline Algorithms for Selecting Web Services based on QoS”, Procedia Computer Science 127, (2018), 408-415. DOI:
10.1016/j.procs.2018.01.138
Alrifai, M., Skoutas, D., & Risse, T., “Selecting Skyline Services for QoS-based Web Service Composition”, In Proceedings of the 19th International Conference on World Wide Web, (2010), 11-20. DOI:
10.1145/1772690.1772693
Benouaret, K., Benslimane, D., & Hadjali, A., “Ws-Sky: An Efficient and Flexible Framework for QoS-aware Web Service Selection”, In IEEE Ninth International Conference on Services Computing, (2012), 146-153. DOI:
10.1109/SCC.2012.83
Fekih, H., Mtibaa, S., & Bouamama, S., “Local-Consistency Web Services Composition Approach based on Harmony Search”, Procedia Computer Science 112, (2017), 1102-1111. DOI:
10.1016/j.procs.2017.08.135