Selection of optimal cloud services based on quality of service ontology

Selection of optimal cloud services based on quality of service ontology

Zhenglan Xie Hankun Yin 

Chongqing Institute of Engineering, Chongqing 400056, China

Corresponding Author Email: 
zlxie@cqie.edu.cn
Page: 
127-141
|
DOI: 
https://doi.org/10.3166/ISI.23.6.127-141
Received: 
|
Accepted: 
|
Published: 
31 December 2018
| Citation

OPEN ACCESS

Abstract: 

The provision of personalized services according to users’ actual needs and preferences is a research hotspot in the era of cloud services. In light of the problem, this paper explores the construction of quality of service (QoS) ontology and the optimization of cloud services in the cloud manufacturing environment. Specifically, the QoS attribute features of cloud services were analyzed before setting up the QoS ontology of cloud services. On this basis, an optimal cloud service selection model was established based on QoS ontology, and solved through analytic hierarchy process (AHP). Finally, the validity and applicability of the method were verified by an example. The research results shed new light on the selection of optimal cloud services based on QoS ontology.

Keywords: 

analytic hierarchy process (AHP), cloud services, optimization model, QoS ontology

1. Introduction
2. Optimal selection of cloud services based on QoS ontology
3. Application verification
4. Conclusions
Acknowledgement

This paper is supported by Fund project: humanities and social sciences research project of chongqing education committee (16SKGH221); Chongqing "three special action plans" characteristic specialty construction project ([2016] 50).

  References

Cai T., Liu W. N., Liu B. (2014). A new method of cloud manufacturing service optimal-selection based on intuitionistic fuzzy set. China Mechanical Engineering, Vol. 3, pp. 352-356, 421. https://doi.org/10.3969/j.issn.1004-132X.2014.03.014

Chakraborty S. (2017). Computer cyber security analysis as well as results. Review of Computer Engineering Studies, Vol. 4, No. 1, pp. 36-40. https://doi.org/10.18280/rces.040107

Chen F. Z., Dou R. L., Li M. Q. (2015). A flexible QoS-aware eweb service composition method by multi-objective optimization in cloud manufacturing Original. Computers & Industrial Engineering Vol. 12, pp. 11-18.

Fang D. R., Liu X. D., Romdhani I., Jamshidi P., Pahl C. (2016). An agility-oriented and fuzziness-embedded semantic model for collaborative cloud service search, retrieval and recommendation. Future Generation Computer Systems, Vol. 3, pp. 11-26. https://doi.org/10.1016/j.future.2015.09.025

Goswami J., Paul M. (2017). Symmetric key cryptography using digital circuit based on one right shift. Review of Computer Engineering Studies, Vol. 4, No. 2, pp. 57-61. https://doi.org/10.18280/rces.040203

Gu J. N. (2011). Research for personalized Web service selection mechanism based on multi-layer QoS ontology. Chongqing University.

Ismail A., Saad M., Abbas R. (2018). Cyber security in internet of things. Review of Computer Engineering Studies, Vol. 5, No. 1, pp. 17-22. https://doi.org/10.18280/rces.050104

Kurdi H., Al-Anazi A., Campbell C., Faries A. A. (2015). A combinatorial optimization algorithm for multiple cloud service composition. Computers & Electrical Engineering, Vol. 2, pp. 107-113. https://doi.org/10.1016/j.compeleceng.2014.11.002

Li B. H., Zhang L., Ren L., Chai X., Tao F., Wang Y., Yin C., Huang P., Zhao X., Zhou Z. (2012). Typical characteristics, technologies and applications of cloud manufacturing. Computer Integrated Manufacturing Systems, Vol. 18, No.7, pp. 1345-1356.

Liu G. Q., Zhu Z. L., Liu Y. (2009). A method for QoS measurement of web service based on service using information. Journal of Northeastern University, Vol. 10, pp. 1398-1401. https://doi.org/10.1360/972009-1549

Liu W. N., Liu B., Sun L. H. (2013). Multi-Task oriented service composition in cloud manufacturing. Computer Integrated Manufacturing Systems, Vol. 1, pp. 199-209. https://doi.org/10.13196/j.cims.2013.01.201.liuwn.021

Liu W. N., Ma G., Liu B. (2013). Study on hierarchical service composition in cloud manufacturing. China Mechanical Engineering Vol. 10, pp. 1349-1356, 2013. https://doi.org/10.3969/j.issn.1004-132X.2013.10.015

Liu Z. Z., Chu D. H., Song C. (2016). Social learning optimization (SLO) algorithm paradigm and its application in QoS-aware cloud service composition. Information Sciences, Vol. 1, pp. 315-333. https://doi.org/10.1016/j.ins.2015.08.004

Mao C. Y., Chen J. F., Towey D., Chen J., Xie X. (2015). Search-based QoS ranking prediction for web services in cloud environments. Future Generation Computer Systems, Vol. 9, pp. 111-126. https://doi.org/10.13196/j.cims201410027

Paul S., Dasgupta P., Kr N. P., Chaudhuri A. (2017). Secured image encryption scheme based on DNA encoding and chaotic map. Review of Computer Engineering Studies, Vol. 4, No. 2, pp. 70-75. https://doi.org/10.18280/rces.040206

Reddy V. S., Rao T. V., Govardhan A. (2017). Data mining techniques for data streams mining. Review of Computer Engineering Studies, Vol. 4, No. 1, pp. 31-35. https://doi.org/10.18280/rces.040106

Saha S., Biswas K. (2017). A comparative study of Fiber Bragg Grating based tilt sensors, Review of Computer Engineering Studies, Vol. 4, No. 1, pp. 41-46. https://doi.org/10.18280/rces.040108

Sen M., Sasmita S. C. (2017). Security and privacy issues for cloud computing and its challenges. Review of Computer Engineering Studies, Vol. 4, No. 2, pp. 62-66. https://doi.org/10.18280/rces.040204

Xiao H. G., Cai C. Z. (2009). Comparison study of normalization of feature vector. Computer Engineering and Applications, Vol. 22, pp. 117-119. https://doi.org/10.3778/j.issn.1002-8331.2009.22.038

Xue X., Liu Z. Z., Huang B. Q. (2014). Enterprise service composition method for cluster supply chain. Computer Integrated Manufacturing Systems Vol. 10, pp. 2599-2608.

Yin C., Xia Z., Li W. (2012). Semantic matching technique of cloud mabufacturing service based on OWL-S. Computer Integrated Manufacturing Systems, Vol. 7, pp. 1494-1502.

Yin C., Zhang Y., Zhong T. (2012). Optimization model of cloud manufacturing services resource combination for new product. Computer Integrated Manufacturing Systems, Vol. 7, pp. 1368-1378.