A Novel Ripple-Based Context-Cognizant Service Discovery Method in Autonomous Decentralized Community System

2008 ◽  
Author(s):  
Khalid Mahmood ◽  
Satoshi Niki ◽  
Xiaodong Lu ◽  
Kinji Mori
Keyword(s):  
Service Discovery ◽  
Community System ◽  
Discovery Method

scholarly journals An IOTA-Based Service Discovery Framework for Fog Computing

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 844
Author(s):  
Tsung-Yi Tang ◽  
Li-Yuan Hou ◽  
Tyng-Yeu Liang
Keyword(s):  
Service Discovery ◽  
Fog Computing ◽  
Cost Effective ◽  
Public Access ◽  
Hash Tables ◽  
Network Attacks ◽  
Comprehensive Information ◽  
Data Flows ◽  
Multiple Levels ◽  
Discovery Method

With the rise in fog computing, users are no longer restricted to only accessing resources located in central and distant clouds and can request services from neighboring fog nodes distributed over networks. This can effectively reduce the network latency of service responses and the load of data centers. Furthermore, it can prevent the Internet’s bandwidth from being used up due to massive data flows from end users to clouds. However, fog-computing resources are distributed over multiple levels of networks and are managed by different owners. Consequently, the problem of service discovery becomes quite complicated. For resolving this problem, a decentralized service discovery method is required. Accordingly, this research proposes a service discovery framework based on the distributed ledger technology of IOTA. The proposed framework enables clients to directly search for service nodes through any node in the IOTA Mainnet to achieve the goals of public access and high availability and avoid network attacks to distributed hash tables that are popularly used for service discovery. Moreover, clients can obtain more comprehensive information by visiting known nodes and select a fog node able to provide services with the shortest latency. Our experimental results have shown that the proposed framework is cost-effective for distributed service discovery due to the advantages of IOTA. On the other hand, it can indeed enable clients to obtain higher service quality by automatic node selection.

A Semantic Web Service Discovery Method Based on Ontology

2010 ◽  
Vol 20-23 ◽  
pp. 878-883
Author(s):  
Wen Ya Tian ◽  
Zhu Jun Xu
Keyword(s):  
Web Services ◽  
Semantic Web ◽  
Web Service ◽  
Service Discovery ◽  
Prototype System ◽  
Semantic Web Service ◽  
Web Service Discovery ◽  
Discovery Method ◽  
Semantic Web Service Discovery ◽  
The Web

Many methods have been used such as UDDI and DWS to discovery requested web services. But they are just a kind of simple syntax match based on keywords and have a low ratio and precision. This paper proposes A Semantic Web Service Discovery Method Based on Ontology. It uses tree-form data structure to describe the web services and give all the nodes a weight value by certain strategy, then compute the semantic similarity between the web services requested and the services registered. To validate the feasibility and effectiveness of the algorithm, we construct a self-developed prototype system to show how well it works. The experiments prove that this algorithm has high recall and precision than other methods.

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