Cloud Logistics Path Optimization Based on Ant Colony Algorithm

2014 ◽  
Vol 722 ◽  
pp. 442-445
Author(s):  
Zhi Gao Chen
Keyword(s):  
Ant Colony Algorithm ◽  
Cloud Manufacturing ◽  
Ant Algorithm ◽  
Composite Service ◽  
Execution Path ◽  
Logistics Mode ◽  
Manufacturing Service Composition ◽  
Manufacturing Resources ◽  
Manufacturing Mode ◽  
Made In

Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. Cloud manufacturing mode connect all sorts of manufacturing resources and capability together and form standard manufacturing services which customers can obtain according to their demand at any time. Logistics mode should coincide with manufacturing mode for the certain correlation between logistics and manufacturing process,so the production and development of cloud manufacturing mode had the logistics mode reformed. In this paper we present a cloud manufacturing service composition method considering execution reliability based on ant algorithm, to optimize the use of composite service execution path to save the costs.

Research of Cloud Manufacturing Execution Path Optimization Based on Adaptive Ant Colony Algorithm on Hadoop Platform

2014 ◽  
Vol 628 ◽  
pp. 417-420 ◽  
Author(s):  
Zhi Gao Chen
Keyword(s):  
Ant Colony Algorithm ◽  
Critical Path ◽  
Cloud Manufacturing ◽  
Experimental Result ◽  
Composite Service ◽  
Execution Path ◽  
Manufacturing Service Composition ◽  
Hadoop Platform ◽  
Manufacturing Resources ◽  
Computational Resources

Cloud Manufacturing is developed in the cloud computing, which is based on the idea of "Made in service" recently. As execution of manufacturing resources is more complicated than computational resources the service combination execution reliability becomes a mandatory considering problem in cloud manufacturing. In this paper we present a cloud manufacturing service composition method considering execution reliability based on adaptive ant algorithm, which in hadoop environment to optimize the use of composite service execution path to save the costs. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.

Study on Ant Colony Algorithm about Resource Search and Optimization in Cloud Manufacturing

2014 ◽  
Vol 602-605 ◽  
pp. 3152-3155 ◽  
Author(s):  
Zhi Gao Chen
Keyword(s):  
Ant Colony Algorithm ◽  
Critical Path ◽  
Cloud Manufacturing ◽  
Experimental Result ◽  
Composite Service ◽  
Resource Search ◽  
Management Technology ◽  
Manufacturing Testing ◽  
Key Issues ◽  
Manufacturing Mode

These years, a new networked manufacturing mode named cloud manufacturing is arising. Cloud manufacturing comprehensively uses various information technology, manufacturing technology and management technology, through virtualization and servitization of manufacturing hardware and software resources. CloudM is to provide user with on-demand, always-ready, high-quality and low-consumption service, which is available from product design, manufacturing, testing, simulation and maintenance and other manufacturing lifecycle process. Service composition is one of the key issues in implementing CloudM system. In this paper, an adaptive ant algorithms have been proposed, which In hadoop environment to optimize the use of composite service execution path. As the experimental result shown, this method can effectively avoid the congestion of data on the critical path.

Study on the Multi-Granularity Virtualization of Manufacturing Resources

2013 ◽  
Author(s):  
Chunsheng Hu ◽  
Chengdong Xu ◽  
Xiaobo Cao ◽  
Pengfei Zhang
Keyword(s):  
Large Scale ◽  
Cloud Manufacturing ◽  
Virtual Manufacturing ◽  
Networked Manufacturing ◽  
Manufacturing Resources ◽  
Manufacturing Mode

As a new kind of networked manufacturing mode, Cloud Manufacturing needs to construct a large-scale virtual manufacturing resources pool firstly. For a reasonable and effective construction of the virtual manufacturing resources pool, the point of multi-granularity virtualization is proposed. Firstly, by analyzing the process of resources virtualization, the meanings of manufacturing resources, virtualization modeling and virtualization accessing are stated, and the relationships between them are illustrated; secondly, by analyzing the compositionality of resources, two resources categories are deduced; thirdly, the granularity factor, which have serious impacts on the resources-virtualization, resources-matching and resources-scheduling, are discussed; finally, a multi-granularity virtualization method of manufacturing resources is proposed.

Modeling and Matching Technology of Manufacturing Resources Based on Semantic

2012 ◽  
Vol 586 ◽  
pp. 288-294 ◽  
Author(s):  
Bo Gao ◽  
Yan Yan ◽  
Fa Ping Zhang
Keyword(s):  
Semantic Similarity ◽  
Cloud Manufacturing ◽  
Modeling Method ◽  
Matching Problems ◽  
Mapping Rules ◽  
Capacity Evaluation ◽  
Manufacturing Resources ◽  
Manufacturing Mode ◽  
Manufacturing Feature

To solve manufacturing resources heterogeneous description and matching problems on cloud manufacturing mode，manufacturing resources modeling and matching technology based on semantic was proposed. The modeling method based on manufacturing feature for manufacturing resources by ontology semantic was presented. Manufacturing resources based on manufacturing feature were encapsulated as manufacturing capacity which can be catch with manufacturing feature of product by semantic similarity. Mapping rules were structured between feature of manufacturing capacity and manufacturing feature of products. Manufacturing capacity evaluation of enterprise was achieved. An application prototype with manufacturing resources modeling and matching based on manufacturing feature was developed.

Multi-Tenant Access Control Model for Cloud Manufacturing

2017 ◽  
Author(s):  
Qianwen Chen ◽  
Zude Zhou ◽  
Xiaomei Zhang ◽  
Xuemei Jiang
Keyword(s):  
Access Control ◽  
Cloud Manufacturing ◽  
Control Model ◽  
Utilization Efficiency ◽  
Access Control Model ◽  
On Demand ◽  
Manufacturing Resources ◽  
Manufacturing Platform ◽  
Manufacturing Mode ◽  
Demand Service

Cloud manufacturing is a new service-oriented networked manufacturing mode based on the concept of “Manufacture as a Service” and achieves the sharing of manufacturing resources and manufacturing capacity. Multi-tenancy technology can improve utilization efficiency of manufacturing resources and ensure information security among tenants, enabling users to share the cloud manufacturing resources better. To execute this new mode, isolation access and on-demand services are indispensable. However, the traditional access control model cannot satisfy the demands of multi-tenant environment on cloud manufacturing platform. To solve the demands in such an environment, a model named Multi-Tenant Access Control Model for Cloud Manufacturing (CM-MTAC) is proposed. Based on cloud manufacturing architecture, we build a hierarchical cloud manufacturing access control architecture combining multi-tenancy. Considering the demands under this condition, the elements of cloud manufacturing access control model and the relationships between them are redefined by extending the ABAC model. Then multi-tenancy authorization framework is proposed and XACML language is used to describe the policy to provide our model with on-demand service, isolation access and inter-tenant collaboration. Finally, we develop this model into the cloud manufacturing monitoring platform. Results show that our model, compared with traditional models, has a better performance of on-demand service, isolation access and inter-tenant cooperation under the environment of cloud manufacturing.

Research on Mass Manufacturing Resource Sensory Data Management Based on Hadoop

2016 ◽  
Vol 693 ◽  
pp. 1880-1885 ◽  
Author(s):  
Kai Kai Su ◽  
Wen Sheng Xu ◽  
Jian Yong Li
Keyword(s):  
Distributed Storage ◽  
Cloud Manufacturing ◽  
Distributed File System ◽  
Service Platform ◽  
Sensory Data ◽  
Computing Model ◽  
Hadoop Distributed File System ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Management Method

Aiming at the management issue of mass sensory data from the manufacturing resources in cloud manufacturing, a management method for mass sensory data based on Hadoop is proposed. Firstly, characteristics of sensory data in cloud manufacturing are analyzed, meanings and advantages of Internet of Things and cloud computing are elaborated. Then the structure of the cloud manufacturing service platform is proposed based on Hadoop, the information model of manufacturing resources in cloud manufacturing is defined, and the data cloud in the cloud manufacturing service platform is designed. The distributed storage of mass sensory data is implemented and a universal distributed computing model of mass sensory data is established based on the characteristics of Hadoop Distributed File System (HDFS).

An OSGi-Based Adaptation Access of Machine Tools in the Cloud Manufacturing Environment

2021 ◽  
Author(s):  
Xiaobin Li ◽  
Chao Yin
Keyword(s):  
Information Acquisition ◽  
Machine Tools ◽  
Universal Access ◽  
Cloud Manufacturing ◽  
Manufacturing Environment ◽  
Access Method ◽  
Manufacturing Enterprises ◽  
Cloud Application ◽  
Key Enabling Technologies ◽  
Manufacturing Mode

Abstract Machine tools (MTs) are the core manufacturing resources for discrete manufacturing enterprises. In the cloud manufacturing environment, MTs are massive, heterogeneous, widely dispersed and highly autonomous, which makes it difficult for cloud manufacturing mode to be deeply applied to support the networked collaboration operation among manufacturing enterprises. Realizing universal access and cloud application of various MTs is an essential prerequisite to solve the above problem. In this paper, an OSGi-based adaptation access method of MTs is proposed. First, the MTs information description model in the cloud manufacturing environment is built. Then, an OSGi-based adaptation access framework of MTs is constructed, and key enabling technologies, including machine tool information acquisition and processing, Bundle and Subsystem construction, are studied. Finally, an application case is conducted to verify the effectiveness and feasibility of the proposed method.

Cloud Manufacturing Resource Management Based on Metadata

2015 ◽  
Author(s):  
Chun Zhao ◽  
Lin Zhang ◽  
Xuesong Zhang ◽  
Liang Zhang
Keyword(s):  
Resource Management ◽  
Cloud Manufacturing ◽  
State Monitoring ◽  
Knowledge Resources ◽  
Centralized Management ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Resource Data ◽  
Manufacturing Platform ◽  
Management Approaches

Centralized management and sharing of manufacturing resources is one of the important functions of cloud manufacturing platform. There are many kinds of manufacturing resources, centralized management, optimized scheduling, quick searching for various manufacturing resources become important issues in a cloud manufacturing platform. This paper presents a resource management model based on metadata to realize the access and unified management of the hardware resources, software resources and knowledge resources. Two management approaches respectively for static and dynamic resource data are introduced to realize resource state monitoring and real-time information collecting. On this basis, the relationship between static and dynamic data is determined and service-oriented of resources is realized.

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