An Ontology Based Matchmaking Technique for Cloud Service Discovery and Selection Using Aneka PaaS

2020 ◽  
pp. 183-194
Author(s):  
Manoranjan Parhi ◽  
Bhupendra Kumar Gupta ◽  
Binod Kumar Pattanayak
Keyword(s):  
Service Discovery ◽  
Cloud Service ◽  
Service Discovery And Selection ◽  
Cloud Service Discovery

A multi-agent-based framework for cloud service discovery and selection using ontology

2017 ◽  
Vol 12 (2) ◽  
pp. 137-154 ◽  
Author(s):  
Manoranjan Parhi ◽  
Binod Kumar Pattanayak ◽  
Manas Ranjan Patra
Keyword(s):  
Service Discovery ◽  
Cloud Service ◽  
Agent Based ◽  
Multi Agent ◽  
Service Discovery And Selection ◽  
Cloud Service Discovery

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.

FC4CD: a new SOA-based Focused Crawler for Cloud service Discovery

Computing ◽  
2018 ◽  
Vol 100 (10) ◽  
pp. 1081-1107 ◽  
Author(s):  
Khouloud Boukadi ◽  
Mouna Rekik ◽  
Molka Rekik ◽  
Hanêne Ben-Abdallah
Keyword(s):  
Service Discovery ◽  
Cloud Service ◽  
Cloud Service Discovery

Service Discovery Architecture Applied in Cloud Computing Environments

2012 ◽  
Vol 241-244 ◽  
pp. 3177-3183
Author(s):  
Jie Zhang ◽  
Li Wen He ◽  
Fei Yi Huang ◽  
Bin Liu
Keyword(s):  
Mathematical Modeling ◽  
Cloud Computing ◽  
Service Discovery ◽  
Main Idea ◽  
Cloud Service ◽  
Cloud Services ◽  
Computing Environments ◽  
Performance Analyses ◽  
Theoretical Analyses ◽  
Cloud Service Discovery

This paper proposed a service discovery architecture (SDA) that can be applied in cloud computing environments. This architecture supports common service discovery capabilities to achieve cloud service discovery function in cloud computing environments. The main idea is that, cloud services can be divided into different cloud service domains (CSD) according to the characteristics of the functions of cloud services, each CSD has a sub-service directory, and there is also a root service directory above all sub-service directories. Setting of two-level service directories can achieve the most suitable massive cloud services quickly. Finally, through mathematical modeling, theoretical analyses, and numerical simulations, the performance analyses of the architecture are studied. The results show the validity and advantages of the SDA.

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