A reputation-based peer-to-peer architecture for semantic service discovery in distributed manufacturing environments

Abstract

The rapidly increasing volume of today's global manufacturing resources is demanding new approaches for resource location or discovery in distributed manufacturing environments. This article presents an ontology-based service-oriented peer-to-peer architecture for semantic discovery of manufacturing services across virtual enterprises in distributed manufacturing environments. Each enterprise exhibits as a peer that publishes sharable manufacturing services through its private service registry. The peers sharing similar ontological interests through ontological directory are clustered together, and the most reputed peer is elected as the super peer through multicriteria decision making among related trust parameters. All super peers form a reputed distributed hash table-based structured peer-to-peer overlay, and the leaf peers are communicated with and controlled by respective super peers. Then, a manufacturing service request can be first routed to the suitable super peer through structured indexing and further to its leaf peer through client/server communication, thus supporting efficient service discovery. The case study of the prototype system is presented to validate the applicability of the proposed approach for industrial application.

A time-aware hyperlink-induced topic search-based reputation evaluation method for optimal manufacturing service recommendation in distributed peer-to-peer networks

“…With the intense growth of global manufacturing services, a lack of flexibility, scalability, and effectiveness in traditional service discovery architecture have made the distributed manufacturing service discovery process undesirable. 10 We have taken full advantage of the P2P framework to facilitate manufacturing service discovery in a manner that is more scalable and efficient than in previous works, including the use of a self-organized P2P approach, 2 a reputation-based P2P architecture, 3 and an agent-based P2P architecture. 4 Manufacturing service discovery can be divided into four main categories, leveraging the P2P architecture: structured, unstructured, super-peer, and hybrid.…”

“…The reputation values of the enterprises are calculated through using a MCDMM method which has considered five trust parameters to evaluate reputation value of each enterprise for manufacturing service recommendation in P2P networks. 3 However, the MCDMM method has ignored the influence of the global and dynamic of reputation values in distributed P2P networks. The weights of the price, response time, lead time, and reputation value are allocated as 0.3, 0.2, 0.2, and 0.3, respectively. (3) The arrangements of third model are the same as second model, including the four attributes and their corresponding weights.…”

“…Fan et al 11 have proposed a novel trust method that considers both recommending resource service behaviors and recommended behaviors to compute eigenvectors of trust ratings for enterprises in P2P file-sharing networks. Our previous works [2][3][4] have presented three unique service-oriented P2P architectures for the efficient and effective semantic discovery of manufacturing services in heterogeneous and distributed environments. In our reputation-based P2P architecture, 3 we designed five related trust parameters and a multi-criteria decision-making mathematical (MCDMM) method for discovering required manufacturing services.…”

“…In our previous works, we have adopted peer-to-peer (P2P) architecture to overcome the conventional difficulties of ineffective and stiff manufacturing service discovery, including a self-organized P2P framework, 2 a reputation-based P2P architecture, 3 and an agent-based P2P architecture. 4 We have presented enterprises as peers that can not only offer manufacturing services for sharing through their private service registries, but can also consume manufacturing services provided by other peers in distributed manufacturing environments.…”

Cloud manufacturing: Strategic vision and state-of-the-art

“…Cai et al [56] present a prototype semantic web system called ManuHub that facilitates efficient, accurate and automatic retrieval of the required manufacturing services derived from the semantic matchmaking of manufacturing service capabilities. Zhang et al [57] present an ontology-based service oriented peerto-peer architecture support effective and efficient manufacturing service discovery. A reputation based trust model for decision making is used to quantify the reputation of peers.…”