Abstract
Nowadays cloud services are being increasingly used by professionals. A wide variety of cloud services are being introduced every day, and each of which is designed to serve a set of specific purposes. Currently, there is no cloud service specific search engine or a comprehensive directory that is available online. Therefore, cloud service customers mainly select cloud services based on the word of mouth, which is of low accuracy and lacks expressiveness. In this paper, we propose a comprehensive cloud service search engine to enable users to perform personalized search based on certain criteria including their own intention of use, cost and the features provided. Specifically, our cloud service search engine focuses on: (1) extracting and identifying cloud services automatically from the Web; (2) building a unified model to represent the cloud service features; and (3) prototyping a search engine for online cloud services. To this end, we propose a novel Service Detection and Tracking (SDT) model for modeling Cloud services. Then based on the SDT model, a cloud service search engine (CSSE) is implemented for helping effectively discover cloud services, relevant service features and service costs that are provided by the cloud service providers.
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References
Allan, J.: Topic Detection and Tracking: Event-Based Information Organization. The Information Retrieval Series, vol. 12. Springer, New York (2012). https://doi.org/10.1007/978-1-4615-0933-2
Armbrust, M., Fox, A., Griffith, R., Joseph, A.D., Katz, R., Konwinski, A., Lee, G., Patterson, D., Rabkin, A., Stoica, I., et al.: A view of cloud computing. Commun. ACM 53(4), 50–58 (2010)
Dastjerdi, A.V., Tabatabaei, S.G.H., Buyya, R.: An effective architecture for automated appliance management system applying ontology-based cloud discovery. In: Proceedings of 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing (CCGrid 2010), pp. 104–112 (2010)
Kang, J., Sim, K.M.: Cloudle: an ontology-enhanced cloud service search engine. In: Chiu, D.K.W., Bellatreche, L., Sasaki, H., Leung, H., Cheung, S.-C., Hu, H., Shao, J. (eds.) WISE 2010. LNCS, vol. 6724, pp. 416–427. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24396-7_33
Ma, Y.B., Jang, S.H., Lee, J.S.: Ontology-based resource management for cloud computing. In: Nguyen, N.T., Kim, C.-G., Janiak, A. (eds.) ACIIDS 2011. LNCS (LNAI), vol. 6592, pp. 343–352. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20042-7_35
Meshkova, E., Riihijärvi, J., Petrova, M., Mähönen, P.: A survey on resource discovery mechanisms, peer-to-peer and service discovery frameworks. Comput. Netw. 52(11), 2097–2128 (2008)
Noor, T.H., Sheng, Q.Z.: Trust as a service: a framework for trust management in cloud environments. In: Bouguettaya, A., Hauswirth, M., Liu, L. (eds.) WISE 2011. LNCS, vol. 6997, pp. 314–321. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-24434-6_27
Noor, T.H., Sheng, Q.Z., Ngu, A.H., Dustdar, S.: Analysis of web-scale cloud services. IEEE Internet Comput. 18(4), 55–61 (2014)
Pearson, S., Benameur, A.: Privacy, security and trust issues arising from cloud computing. In: Proceedings of IEEE Second International Conference on Cloud Computing Technology and Science (CloudCom 2010), pp. 693–702 (2010)
Ren, K., Wang, C., Wang, Q.: Security challenges for the public cloud. IEEE Internet Comput. 16(1), 69–73 (2012)
Rodríguez-García, M.A., Valencia-García, R., García-Sánchez, F.: Creating a semantically-enhanced cloud services environment through ontology evolution. Future Gener. Comput. Syst. 32, 295–306 (2014)
Rodríguez-García, M.Á., Valencia-García, R., García-Sánchez, F., Samper-Zapater, J.J.: Ontology-based annotation and retrieval of services in the cloud. Knowl.-Based Syst. 56, 15–25 (2014)
Segev, A., Sheng, Q.: Bootstrapping ontologies for web services. IEEE Trans. Serv. Comput. 5(1), 33–44 (2012)
Wei, Y., Blake, M.B.: Service-oriented computing and cloud computing: challenges and opportunities. IEEE Internet Comput. 14(6), 72–75 (2010)
Yoo, H., Hur, C., Kim, S., Kim, Y.: An ontology-based resource selection service on science cloud. In: Ślęzak, D., Kim, T., Yau, S.S., Gervasi, O., Kang, B.-H. (eds.) GDC 2009. CCIS, vol. 63, pp. 221–228. Springer, Heidelberg (2009). https://doi.org/10.1007/978-3-642-10549-4_26
Youseff, L., Butrico, M., Da Silva, D.: Toward a unified ontology of cloud computing. In: Proceedings of 2008 Grid Computing Environments Workshop (GCE 2008), pp. 1–10 (2008)
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Alfazi, A., Sheng, Q.Z., Babar, A., Ruan, W., Qin, Y. (2018). Toward Unified Cloud Service Discovery for Enhanced Service Identification. In: Beheshti, A., Hashmi, M., Dong, H., Zhang, W. (eds) Service Research and Innovation. ASSRI ASSRI 2015 2017. Lecture Notes in Business Information Processing, vol 234. Springer, Cham. https://doi.org/10.1007/978-3-319-76587-7_10
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DOI: https://doi.org/10.1007/978-3-319-76587-7_10
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