Cloudle: A Multi-criteria Cloud Service Search Engine

2010 ◽  
Author(s):  
Jaeyong Kang ◽  
Kwang Mong Sim
Keyword(s):  
Search Engine ◽  
Cloud Service

An ontology enhanced cloud service generic search engine

2015 ◽  
Vol 4 (2) ◽  
pp. 105 ◽  
Author(s):  
V. Sashikanth Nagireddy ◽  
Shakti Mishra
Keyword(s):  
Search Engine ◽  
Cloud Service

On the Use of Similarity or Query Languages in Cloud Discovery Based on Ontology

2017 ◽  
Vol 8 (3) ◽  
pp. 60-78 ◽  
Author(s):  
Rawand Guerfel ◽  
Zohra Sbaï ◽  
Rahma Ben Ayed
Keyword(s):  
Cloud Computing ◽  
Search Engine ◽  
Service Discovery ◽  
Cloud Service ◽  
Query Languages ◽  
Cloud Service Discovery ◽  
Required Service

Cloud computing is increasingly used so that the number of providers offering services is rapidly increasing. Thus, a need to organize these services and to express relations between them arises. To answer this need, ontologies are used. To query these services, the authors use query languages, such as SPARQL, that return two types of results: either a list of required services, or an empty list. However, the second result is not desired. In fact, if the required service is not available, users want to be offered by a list of similar ones instead of the empty list. It is in this sense that the similarity, which provides more results ranked according to their utilities, is used. This paper first presents the Cloud ontology on which the authors' work is based. It then defines and compares between two Cloud service discovery methods which are: the discovery based on query languages and the discovery based on similarity. To show the efficiency of the search based on similarity, the authors propose a search engine that allows the users to query services using a simple to use interface.

scholarly journals Comparing K-means, K-medoids and ISODATA Clustering Algorithms for a Cloud Service Search Engine

2019 ◽  
Vol 8 (3) ◽  
pp. 4978-4982
Keyword(s):  
Cloud Computing ◽  
Search Engine ◽  
Web Sites ◽  
Service Providers ◽  
Clustering Algorithms ◽  
Cloud Service ◽  
History Of Computing ◽  
The Past ◽  
Cloud Service Providers ◽  
History Of

The evolution of cloud computing over the past few years is potentially one of the major advances in the history of computing. Cloud computing theoretically provides all computing needs as services. Accordingly, a large number of cloud service providers exist and the number is constantly increasing. This presents a significant problem for a user to find a relevant service provider, and calls for developing a specialized search engine to help users select suitable services matching their needs. Towards this goal, we developed a search engine that crawls the web sites of various service providers, extracts service attributes from their JavaScript Object Notation (JSON) files and normalizes the attributes in a service table. Those attributes are clustered using one of three different algorithms (K-means, K-medoids, and ISODATA). The requirements of a given user are then matched against the centroids of the various clusters to help obtain the closest match. In this paper, we compared the three algorithms with respect to time and accuracy. The ISODATA algorithm exhibited the best performance.

Dynamic Search Engine Platform for Cloud Service Level Agreements Using Semantic Annotation

2018 ◽  
Vol 14 (3) ◽  
pp. 70-98 ◽  
Author(s):  
K. Saravanan ◽  
A. Radhakrishnan
Keyword(s):  
Search Engine ◽  
Semantic Annotation ◽  
Cloud Service ◽  
Service Level ◽  
Search Process ◽  
Service Level Agreements ◽  
Proposed Model ◽  
Dynamic Search ◽  
Cloud Applications ◽  
Similar Search

This article describes how cloud applications are negotiated, deployed, monitored, evaluated and terminated through the service level agreements (SLA). The service definition & their objectives, performance measures, pricing, roles of the involved parties are stated as part of the SLA. Searching for SLA templates from the provider's place is considered as a cumbersome process for the consumer. Also, it is not guaranteed that retrieved SLAs always match with the consumer requirements. Hence, semantic search engine platforms for cloud SLA using a novel architecture are introduced here. SLA agreements are crawled from the web and annotation is performed in the agreement terms using SLA ontologies to fasten and improve the accuracy of the search process. In the proposed architecture, 3 ontologies are developed for SaaS, PaaS and IaaS as well as 140 SLA documents are gathered. Results revealed that the search efficacy is almost 90% in finding the desired SLA for the consumer to ease negotiation. Moreover, the performance is compared with similar search engine GoNTogle, and it was observed that proposed model produced good results.

scholarly journals Cascading Guided Search Cloud Service Search Engine

2013 ◽  
Vol 10 (9) ◽  
pp. 1977-1982
Author(s):  
Ms Thamilvaani Arvaree ◽  
Dr. Rodziah Atan
Keyword(s):  
Cloud Computing ◽  
Search Engine ◽  
Service Provider ◽  
Service Providers ◽  
Cloud Service ◽  
Paradigm Shifts ◽  
Computing Services ◽  
It Organization ◽  
Cloud Computing Services ◽  
The Right

Cloud computing is one contemporary technology in which the research community has recently embarked. This paradigm shifts the location of the infrastructure to the network to reduce the costs associated with the management of hardware and software resources. Developers with innovative ideas for new Internet services no longer require the large capital outlays in hardware to deploy their service or the human expense to operate it. Organization adopts cloud computing services through service provider via Internet. In recent years, numbers of cloud service providers are increase.  However, there is no study that focuses on search engine and web portal for cloud computing for users who want to find cloud service. At the same time, “vendor lock in” issues and the lack of common cloud standards delayed the interoperability across these providers. Thus, lead the cloud customer to face challenges and problems in selecting the right service provider who meets their needs. This research focus on meeting the user requeriment in cloud environment whereby, user requirements reflect to search query that entered by the end users and how these search queries are exactly matched with accurate cloud service. Therefore, end of the research cloud service search engine was developed as a proposed tool for meeting the user requirements. 

Who owns a personal home page?

2003 ◽  
Vol 62 (2) ◽  
pp. 121-129 ◽  
Author(s):  
Astrid Schütz ◽  
Franz Machilek
Keyword(s):  
Search Engine ◽  
Home Page ◽  
Sampling Strategies ◽  
Home Pages ◽  
Personal Home Pages ◽  
Age And Sex

Research on personal home pages is still rare. Many studies to date are exploratory, and the problem of drawing a sample that reflects the variety of existing home pages has not yet been solved. The present paper discusses sampling strategies and suggests a strategy based on the results retrieved by a search engine. This approach is used to draw a sample of 229 personal home pages that portray private identities. Findings on age and sex of the owners and elements characterizing the sites are reported.

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