Abstract
Cloud computing is a major trend in Information Technology (IT), which has witnessed high adaption rate for cloud solutions. Software-as-a-Service (SaaS) providers compete to address nearly every business and IT application needs. Heterogeneous cloud service advertisements make it difficult for potential users to discover the required service offers. To overcome this problem, the cloud service registry is fundamental for both the cloud users and providers. It provides detailed information about SaaS offers from different providers in one place, which increases the services reachability. In this paper, we focus on the business perspective of the SaaS services, which has not received eligible consideration by existing literature. We propose a semantic-based system for unified SaaS service advertisements. We introduce a template for the service registration, a guided registration model, and a registration system. Moreover, we present a semantic similarity model for services metadata matchmaking. Prototypical implementation and evaluation proved the proposed system effectiveness.
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References
Noor, T.H., et al.: A Crawler Engine For Cloud Services Discovery on the World Wide Web. In: 20th IEEE International Conference on Web Services (ICWS), pp. 443–450. IEEE Press, USA (2013)
Garg, S.K., et al.: A Framework For Ranking of Cloud Computing Services. J. Future Generation Computer Systems 29(4), 1012–1023 (2013)
Chen, F., Bai, X., Liu, B.: Efficient Service Discovery for Cloud Computing Environments. In: Shen, G., Huang, X. (eds.) CSIE 2011, Part II. CCIS, vol. 153, pp. 443–448. Springer, Heidelberg (2011)
ODCA. Open Data Center AllianceSM Usage: SERVICE CATALOG. Open Data Center Usage Models. Open Data Center Alliance, Inc., http://www.opendatacenteralliane.org/ourwork/usagemodels
Spillner, J., Schill, A.: A Versatile and Scalable Everything-as-a-Service Registry and Discovery. In: 3rd International Conference on Cloud Computing and Services Science (CLOSER), Germany, pp. 175–183 (2013)
Cloudbook. The Cloud Computing & SaaS Information Resource, http://www.cloudbook.net/directories/product-services/cloud-computing-directory?category=Applications
SaaS Directory, http://www.saasdirectory.com/
OpenCrowd Project, http://cloudtaxonomy.opencrowd.com/taxonomy/
SaaS Lounge, http://www.saaslounge.com/saas-directory/
Cloud Showplace, http://www.cloudshowplace.com/application/
GetApp, http://www.getapp.com/
ReasySaaSGo, http://www.readysaasgo.com/
Afify, Y.M., Moawad, I.F., Badr, N., Tolba, M.F.: A Semantic-based Software-as-a-Service (SaaS) Discovery and Selection System. In: 8th IEEE International Conference on Computer Engineering & Systems (ICCES 2013), pp. 57–63. IEEE Press, Egypt (2013)
Afify, Y.M., Moawad, I.F., Badr, N.L., Tolba, M.F.: Cloud Services Discovery and Selection: Survey and New Semantic-Based System. In: Hassanien, A.E., Kim, T.-H., Kacprzyk, J., Awad, A.I. (eds.) Bio-inspiring Cyber Security and Cloud Services: Trends and Innovations. ISRL, vol. 70, pp. 449–477. Springer, Heidelberg (2014), doi:10.1007/978-3-662-43616-5_17
UDDI Technical White Paper (2001), http://www.uddi.org/pubs/lru_UDDI_Technical_Paper
Bernstein, D., Vij, D.: Using Semantic Web Ontology for Intercloud Directories and Exchanges. In: 11th International Conference on Internet Computing, ICOMP 2010, Las Vegas, pp. 18–24 (2010)
Tahamtan, A., Beheshti, S.A., et al.: Cloud Repository and Discovery Framework Based on a Unified Business and Cloud Service Ontology. In: 8th IEEE World Congress on Services, pp. 203–210. IEEE Press, USA (2012)
Mindruta, C., Fortis, T.-F.: A Semantic Registry for Cloud Services. In: 27th International Conference on Advanced Information Networking and Applications Workshops (WAINA), pp. 1247–1252. IEEE Press, Spain (2013)
Membrane SOA Registry, http://www.membrane-soa.org/soa-registry/
Steinmetz, N., Lausen, H., Brunner, M.: Web Service Search on Large Scale. In: Baresi, L., Chi, C.-H., Suzuki, J. (eds.) ICSOC-ServiceWave 2009. LNCS, vol. 5900, pp. 437–444. Springer, Heidelberg (2009)
AbuJarour, M.: A Proactive Service Registry with Enriched Service Descriptions. In: 5th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering, Germany, pp. 191–200 (2011)
Web Ontology Language (OWL), http://www.w3.org/TR/owl-features/
Salton, G.: Introduction to Modern Information Retrieval. McGraw-Hill Computer Science Series. McGraw-Hill Companies (1983)
Fellbaum, C.: WordNet: An Electronic Lexical Database. MIT Press (1999)
Dong, H., Hussain, F.K., Chang, E.: A Service Search Engine for the Industrial Digital Ecosystems. IEEE Transactions on Industrial Electronics 58(6), 2183–2196 (2011)
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Afify, Y.M., Moawad, I.F., Badr, N.L., Tolba, M.F. (2014). Concept Recommendation System for Cloud Services Advertisement. In: Hassanien, A.E., Tolba, M.F., Taher Azar, A. (eds) Advanced Machine Learning Technologies and Applications. AMLTA 2014. Communications in Computer and Information Science, vol 488. Springer, Cham. https://doi.org/10.1007/978-3-319-13461-1_7
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DOI: https://doi.org/10.1007/978-3-319-13461-1_7
Publisher Name: Springer, Cham
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