Resource Virtualization Model in Cloud Manufacturing

2010 ◽  
Vol 143-144 ◽  
pp. 1250-1253 ◽  
Author(s):  
Lei Wu
Keyword(s):  
Resource Sharing ◽  
Cloud Manufacturing ◽  
Application Layer ◽  
Resource Virtualization ◽  
Service Oriented ◽  
Model Cloud ◽  
Manufacturing Resources ◽  
Support Resource ◽  
Future Work ◽  
Manufacturing Problems

To solve more complex manufacturing problems and perform larger scale collaborative manufacturing, a new service-oriented networked manufacturing model—Cloud Manufacturing is presented. The paper presents a resource virtualization model to support resource sharing in cloud manufacturing environment. It can be decomposed into four layers: manufacturing resources layer, concrete web service layer, logical service layer and application layer. The relationships of every layer are discussed in detail. At last, we make a conclusion and put forward the future work.

Development and Implementation of Cloud Manufacturing: An Evolutionary Perspective

2013 ◽  
Author(s):  
Yongkui Liu ◽  
Lin Zhang ◽  
Fei Tao ◽  
Long Wang
Keyword(s):  
Underlying Mechanism ◽  
Cloud Manufacturing ◽  
Third Party ◽  
Scale Free Network ◽  
Scale Free ◽  
Service Oriented ◽  
Free Network ◽  
Manufacturing Resources ◽  
Intermediate Value ◽  
Future Work

Cloud manufacturing (CMfg) is a new service-oriented networked manufacturing paradigm. In a CMfg system, the operator of CMfg platform provides services for resource providers to publish their idle manufacturing resources and for resource demanders to access the resource pool on-demand. To uncover the underlying mechanism supporting the development and implementation of CMfg, a model of CMfg system is proposed by abstracting the CMfg operator as a third party and modeling the relationships of CMfg users using the scale-free network. We investigate the effect of saturation degree of manufacturing task and find that there exists an intermediate value of the parameter optimally favoring the participation of enterprises in CMfg. We also study the charging issue. The obtained result shows that the CMfg system is robust with respect to resource charge. Finally, we discuss the future work and conclude the paper.

Cloud Manufacturing: An Industry Survey

2016 ◽  
Author(s):  
Tiegang Zang ◽  
Yongkui Liu ◽  
Xun Xu
Keyword(s):  
Resource Sharing ◽  
Manufacturing Industry ◽  
Green Manufacturing ◽  
Cloud Manufacturing ◽  
Industrial Enterprises ◽  
The Status ◽  
Service Oriented ◽  
Model Cloud ◽  
Business Technology ◽  
Technology Trends

The emerging business technology trends such as cloud, Internet of Things, and the new requirements and challenges of future development of manufacturing industry such as green manufacturing and knowledge innovations, have together given rise to a novel cloud-based service-oriented manufacturing business model — cloud manufacturing. Since its inception, cloud manufacturing has attracted much attention of researchers from both academia and industry. As a nascent concept aiming to achieve comprehensive and full resource sharing and e-business collaboration, the success of cloud manufacturing depends heavily on the support and participation of industrial enterprises. However, so far there have been few reports on the status of cloud manufacturing among industrial enterprises. In order to understand the situation of cloud manufacturing in industry, we conducted a survey with respect to its acceptability and application prospect among enterprises located in Jiangsu province, China. This paper presents the results of the survey and some analysis.

Order-Oriented Manufacturing Resource Services Sharing of Building Material and Equipment Enterprise in Cloud Manufacturing

2013 ◽  
Vol 823 ◽  
pp. 565-571 ◽  
Author(s):  
Bai Gang Du ◽  
Shun Sheng Guo ◽  
Yi Bing Li ◽  
Jun Guo
Keyword(s):  
Resource Sharing ◽  
Building Material ◽  
Manufacturing Industry ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Remote Collaboration ◽  
Related Services ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Manufacturing Resources

The cloud manufacturing brings forward a new idea of manufacturing resource sharing with service-oriented. Recent advances in information technology, such as cloud computing, internet of things, make it easier for heterogeneous resources in different regions to remote collaboration in cloud manufacturing. To help improve the success of distributed manufacturing resource sharing for service provider and user in building material and equipment enterprise (BMEE), the order-oriented cloud service library (OCSL) and order-based model for shared manufacturing resources (OMSMR) are proposed after analysing the management features of manufacturing resources in BMEE. The OCSL gives a relationship description between task orders and related services. Moreover, a case study is undertaken to evaluate the proposed model. The model brings into manufacturing industry for manufacturing resource sharing with a number of benefits such as openness, integrity and traceability.

A Cloud Solution for Service Oriented Workshop Management

2021 ◽  
Author(s):  
Xiaobin Li ◽  
Chao Yin
Keyword(s):  
Cloud Service ◽  
Cloud Manufacturing ◽  
Heterogeneous Data ◽  
Heterogeneous Data Integration ◽  
Resource Virtualization ◽  
Service Oriented ◽  
Manufacturing Resource ◽  
Manufacturing Resources ◽  
Water Gas

Abstract Cloud manufacturing is a state-of-art networked manufacturing model with the idea and technologies of cloud computing to transform traditional production-oriented manufacturing into service-oriented manufacturing. This emerging model can make manufacturing resources, in a manner similar to traditional utilities such as water, gas and electricity, available (offered) over the internet as convenient, scalable, on-demand services to enterprises. The aim is to improve the sharing efficiency of manufacturing resources and reduce manufacturing costs in industries. In this paper, the current research of cloud manufacturing is summarized, including relevant theories, technologies and applications. A cloud solution for workshop management is proposed from a service perspective, along with its architecture and business process. The methodologies, including manufacturing resource virtualization and workshop sensor network configuration are developed to support heterogeneous data integration and effective collaboration among services in cloud. A case study is demonstrated and discussed to validate the proposed cloud service system.

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.

Feature-Based Adaptive Manufacturing Equipment Control for Cloud Environments

2016 ◽  
Author(s):  
Göran Adamson ◽  
Lihui Wang ◽  
Magnus Holm ◽  
Philip Moore
Keyword(s):  
Resource Sharing ◽  
Service Management ◽  
Cloud Service ◽  
Cloud Manufacturing ◽  
Manufacturing Equipment ◽  
Control Approach ◽  
Function Block ◽  
Feature Based ◽  
Cloud Environments ◽  
Manufacturing Resources

The ideas of on-demand, scalable and pay-for-usage resource-sharing in Cloud Manufacturing are steadily attracting more interest. For implementing the concept of Manufacturing-as-a-Service in a cloud environment, description models and implementation language for resources and their capabilities are required. A standardized approach for systemized virtualization, servisilisation, retrieval, selection and composition into higher levels of functionality is necessary. For the collaborative sharing and use of networked manufacturing resources there is also a need for a control approach for distributed manufacturing equipment. In this paper, the technological perspective for an adaptive cloud service-based control approach is described, and a supporting information model for its implementation. The control is realized through the use of a network of intelligent and distributable Function Block decision modules, enabling run-time manufacturing activities to be performed according to actual manufacturing conditions. The control system’s integration to the cloud service management functionality is described, as well as a feature-level capability model and the use of ontologies and the Semantic Web.

Research of Resource Virtualization Technology Based on Cloud Manufacturing

2011 ◽  
Vol 201-203 ◽  
pp. 681-684 ◽  
Author(s):  
Chun Quan Li ◽  
Chun Yang Hu ◽  
Yan Wei Wang
Keyword(s):  
Cloud Manufacturing ◽  
Manufacturing Grid ◽  
Primary Research ◽  
Abstract Description ◽  
Resource Virtualization ◽  
Virtualization Technology ◽  
New Type ◽  
Manufacturing Resources ◽  
Further Development ◽  
Important Basis

A method of virtualization technology of manufacturing resources was analyzed and designed in Cloud Manufacturing environment toward the new type of networked manufacturing. Diverse-grained information such as the abstract, description, interface, packages have been put forward on basis of resource virtualization technology of manufacturing grid in order to implement resource virtualization. Virtualization of manufacturing hardware and software resources were mainly analyzed and researched in this paper. The primary research shows that this resource virtualization technology of Cloud Manufacturing can provide an important basis and premise for the further development of Cloud Manufacturing theory.

A Vision of Cloud Manufacturing Service Paradigm for Group Manufacturing Companies: A Tendency of Manufacturing Resources Sharing

2013 ◽  
Vol 834-836 ◽  
pp. 1776-1779
Author(s):  
Jing Tao Zhou
Keyword(s):  
Resource Sharing ◽  
Cloud Manufacturing ◽  
Point Of View ◽  
Enterprise Group ◽  
Centralized Control ◽  
Manufacturing Companies ◽  
Manufacturing Enterprise ◽  
Key Factor ◽  
Manufacturing Resources ◽  
Resources Sharing

Manufacturing enterprise group possesses the greatest wealth of resources and knowledge for sustainable product and business development. These resources and knowledge have gradually become the key factor of core competitiveness and product innovation for manufacturing enterprise group. However, the resources inenterprise group are usually distributed in different subsidiary companies,which means they can’t be centralized used and can’t be made the most use of,constraining the competition and development of enterprise. It bring soutstanding contradiction problems between the demand and resources sharing. By the comparison of different resource sharing and coordination schemas of current advanced manufacturing paradigms, and the analyzing of the resource requirements and tendency of the sharing and centralized control of resources in manufacturing enterprise group from the develop point of view, a new cloud manufacturing service schema vision for manufacturing enterprise group is proposed based onthe Cloud Manufacturing idea to strengthen manufacturing enterprise group’s management and control power, enhance service capabilities of its resources. As same as the cloud manufacturing idea, the schema promises elasticity, flexibility and adaptability through the on-demand provisioning of manufacturing resources as a utility.

scholarly journals The Essence of Cloud Manufacturing

2020 ◽  
Vol 1 (2) ◽  
Author(s):  
Matthew N. O. Sadiku ◽  
Tolulope J. Ashaolu ◽  
Abayomi Ajayi-Majebi ◽  
Sarhan M. Musa
Keyword(s):  
High Performance ◽  
Manufacturing System ◽  
Cloud Manufacturing ◽  
Smart Manufacturing ◽  
Computing Technology ◽  
Knowledge Based ◽  
Service Oriented ◽  
Manufacturing Resources ◽  
Manufacturing Software ◽  
Performance Computing

Cloud manufacturing is a service-oriented, knowledge-based smart manufacturing system. It is integrated with cloud computing technology, Internet of Things, and high-performance computing. Through cloud manufacturing, manufacturing resources (such as manufacturing software tools, manufacturing equipment, and manufacturing capabilities) are “virtualized” and offered as consumable in the same way as electricity, gas, and water. The manufacturing resources are provided to users as services over the Internet (cloud) in a pay-as-you-go manner. This paper presents a brief introduction to cloud manufacturing.

The Cloud Manufacturing System in Factory Automation

2012 ◽  
Vol 271-272 ◽  
pp. 528-532 ◽  
Author(s):  
Hwa Young Jeong ◽  
Bong Hwa Hong
Keyword(s):  
Cloud Computing ◽  
Resource Sharing ◽  
Manufacturing System ◽  
Service Management ◽  
Cloud Manufacturing ◽  
Layer System ◽  
Efficient Operation ◽  
On Demand ◽  
Resource Virtualization ◽  
System Virtualization

Manufacturing system has lots of component such as sensors, motors and robots. For efficient operation of manufacturing system, application technique such as RFID was used. Furthermore, in application area of network, wireless network include WiFi was used too. And recently, cloud computing technology is coming to us. Cloud computing has recently emerged as an integrated infrastructure for resource sharing and computing in distributed environments. Cloud computing provides computers and other devices on demand. Cloud computing continues the trend started with on-demand, strategic outsourcing and targeting real-time delivery of infrastructure and platform services. In this paper, we consider the manufacturing system in cloud computing environment. Our system consists of four layers; manufacturing resources layer, system virtualization layer, service and application layer. In this system architecture, Device control manager use to manage for each system device driver, System virtualization design for system resource virtualization, Manufacturing service management server performs to handling each system service, and Application management server process to provide each service application to system manager, engineer and user.

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