Agent-based manufacturing service discovery method for cloud manufacturing

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.

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A Novel Web Service Discovery Method Combining Semantic Interface Similarity and Context Similarity

IOP Conference Series Earth and Environmental Science ◽

10.1088/1755-1315/693/1/012006 ◽

2021 ◽

Vol 693 (1) ◽

pp. 012006

Author(s):

Chenghua Lu

Keyword(s):

Web Service ◽

Service Discovery ◽

Web Service Discovery ◽

Context Similarity ◽

Discovery Method

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Cooperation Emergence of Manufacturing Services in Cloud Manufacturing With Agent-Based Modeling and Simulating

IEEE Access ◽

10.1109/access.2021.3055587 ◽

2021 ◽

Vol 9 ◽

pp. 24658-24668

Author(s):

Ping Lou ◽

Jiwei Hu ◽

Cui Zhu ◽

Junwei Yan ◽

Liping Yuan

Keyword(s):

Cloud Manufacturing ◽

Agent Based Modeling ◽

Agent Based

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Implicit Culture Framework for Behavior Transfer

Handbook of Research on Culturally-Aware Information Technology ◽

10.4018/978-1-61520-883-8.ch010 ◽

2011 ◽

pp. 213-241

Author(s):

Aliaksandr Birukou ◽

Enrico Blanzieri ◽

Paolo Giorgini

Keyword(s):

Best Practices ◽

Web 2.0 ◽

Web Service ◽

Service Discovery ◽

Community Members ◽

Community Culture ◽

Agent Based ◽

Web Service Discovery ◽

Domain Independent

People belong to different communities: business communities, Web 2.0 communities, just to name a few. In this chapter the authors show that experience acquired by people in communities constitute community culture. The authors introduce the problem of culture transfer between or within communities and propose a domain-independent approach for transferring community culture. First, the authors formalize the notion of culture, which includes behavior, knowledge, artifacts, best practices, etc. Second, using this formalism, the authors propose the Implicit Culture Framework, which is an agent-based framework for transferring behavior between community members or between communities. Finally, the authors present and evaluate a system for web service discovery developed using the Implicit Culture Framework.

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