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Xuesong Zhang

Researcher at Jilin University

Publications -  7
Citations -  815

Xuesong Zhang is an academic researcher from Jilin University. The author has contributed to research in topics: Cloud manufacturing & Cloud computing. The author has an hindex of 5, co-authored 6 publications receiving 683 citations. Previous affiliations of Xuesong Zhang include Beihang University.

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Cloud manufacturing: a new manufacturing paradigm

TL;DR: The concept of CMfg, including its architecture, typical characteristics and the key technologies for implementing aCMfg service platform, is discussed and three core components for constructing a CMfg system, i.e. CMfg resources, manufacturing cloud service and manufacturing cloud are studied.
Proceedings ArticleDOI

Massive sensor data management framework in Cloud manufacturing based on Hadoop

TL;DR: This paper analyzes the requirement of massive sensor data management in Cloud Manufacturing and the defects of traditional RDBMS, and presents a framework supporting parallel storage and processing ofmassive sensor data in Cloud manufacturing systems based on Hadoop.
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A multi-agent architecture for scheduling in platform-based smart manufacturing systems

TL;DR: A multi- agent architecture for scheduling in PSMSs is proposed, which consists of a platform-level scheduling multi-agent system (MAS) and an enterprise-level Scheduling MAS (MAS), and a case study is conducted to demonstrate the effectiveness of this architecture and model.
Journal ArticleDOI

Service agent networks in cloud manufacturing : Modeling and evaluation based on set-pair analysis

TL;DR: The service agent in the simulation platform can drive the manufacturing service to form a self-organization network, in order to conduct transactions and cooperation spontaneously, and the service network ofservice agent and the collaboration network of service agent are formed.
Proceedings ArticleDOI

X Language: An Integrated Intelligent Modeling and Simulation Language for Complex Products

TL;DR: X language as mentioned in this paper is an intelligent modeling and simulation language, which supports the description of system-layer structure and physical behavior, as well as modeling of complex agent models, and it supports the simulation of continuous, discrete event and agent models.