NDLI: Multi-Task Scheduling Based on QoS Evaluation in Cloud Manufacturing System

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	Li, Feng Zhang, Lin Laili, Yuanjun
Copyright Year	2017
Abstract	Cloud manufacturing (CMfg) mode provides an effective means to intensely utilize distributed resources and manufacturing capability for personalized production. Increasing personalized customization implies more and more heterogeneous tasks and hence more sorts of requirements for services. As the granularity of tasks vary with changing users and products, the solution (or scheme) of task scheduling should be different. In order to efficiently provide the most suitable solution for each kind of tasks, different scheduling ways should be adopted under different circumstances. In this paper, we study scheduling issues for heterogeneous tasks with variable granularity and present two kinds of optimal scheduling mode based on user-oriented comprehensive evaluation. Then different encoding schemes relied on the genetic algorithm are proposed according to different scheduling strategies.
Sponsorship	Manufacturing Engineering Division
File Format	PDF
ISBN	9780791850749
DOI	10.1115/MSEC2017-2839
Volume Number	Volume 3: Manufacturing Equipment and Systems
Conference Proceedings	ASME 2017 12th International Manufacturing Science and Engineering Conference collocated with the JSME/ASME 2017 6th International Conference on Materials and Processing
Language	English
Publisher Date	2017-06-04
Publisher Place	Los Angeles, California, USA
Access Restriction	Subscribed
Subject Keyword	Encryption Manufacturing Genetic algorithms Manufacturing systems
Content Type	Text
Resource Type	Article

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