NDLI: Composition of Resource-Service Chain for Cloud Manufacturing

Content Provider	IEEE Xplore Digital Library
Author	Haibo Li Chan, K.C.C. Mengxia Liang Xiangyu Luo
Copyright Year	2005
Abstract	In distributed manufacturing systems, manufacturing resource composition is one of the most important problems. This is because efficiency of resource selection and resource utilization can all be improved if it is tackled well. However, most of the existing methods neglect temporal relationship between resources. This leads to an inefficient use of resources, because all resources have to be kept available before a business process is started. A temporal composition of resources is more suitable, as it expresses the scheduling and the flow of servicing to a business process. Therefore, resource services invoked in sequential order are called the resource-service chain (RSC), in view that distributed resources are encapsulated into cloud services in a cloud manufacturing (CMfg) environment. We propose an approach, called RSC composition algorithm (RSCCA) that can better cope with the temporal relationship between the resource services in a business process. Specifically, a two-stage composition method based on the degrees of dependency between resource services in workflow is proposed. To begin, in the build-time stage algorithm, RSCCA resolves initial compositions based on task relatedness and temporal dependencies between resource services, and then calculates the usage frequencies of ICs by mining workflow log at workflow runtime stage. Based on this, RSCCA can compose individual resource services as more than sets, especially as chains, allowing flow directions and dynamics to be considered. RSCCA has been tested with different data sets and the results show that it can be very promising.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	211
Ending Page	219
Page Count	9
File Size	1427514
File Format	PDF
ISSN	15513203
Volume Number	12
Issue Number	1
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2016-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Manufacturing Runtime Cloud computing Data models Quality of service Resource management business process Cloud Manufacturing (CMfg) manufacturing resource composition resource-service chain resource-service chain (RSC) Business process cloud manufacturing (CMfg)
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Information Systems Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing

CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System

Information Flow Control for Secure Cloud Computing

QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups

A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition

Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure

Resource Service Composition and Its Optimal-Selection Based on Particle Swarm Optimization in Manufacturing Grid System

FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System

Fault Tolerance Management in Cloud Computing: A System-Level Perspective

Composition of Resource-Service Chain for Cloud Manufacturing

Similar Documents

IoT-Based Intelligent Perception and Access of Manufacturing Resource Toward Cloud Manufacturing

CCIoT-CMfg: Cloud Computing and Internet of Things-Based Cloud Manufacturing Service System

Information Flow Control for Secure Cloud Computing

QoS-aware service composition for cloud manufacturing based on the optimal construction of synergistic elementary service groups

A hybrid artificial bee colony algorithm for optimal selection of QoS-based cloud manufacturing service composition

Reactive Resource Provisioning Heuristics for Dynamic Dataflows on Cloud Infrastructure

Resource Service Composition and Its Optimal-Selection Based on Particle Swarm Optimization in Manufacturing Grid System

FC-PACO-RM: A Parallel Method for Service Composition Optimal-Selection in Cloud Manufacturing System

Fault Tolerance Management in Cloud Computing: A System-Level Perspective

Composition of Resource-Service Chain for Cloud Manufacturing