scholarly journals Blockchain-based cloud manufacturing platforms: A novel idea for service composition in XaaS paradigm

2021 ◽  
Vol 7 ◽  
pp. e743
Author(s):  
Seyyed-Alireza Radmanesh ◽  
Alireza Haji ◽  
Omid Fatahi Valilai
Keyword(s):  
Service Composition ◽  
Manufacturing Systems ◽  
Large Scale ◽  
Manufacturing System ◽  
Service Oriented Architecture ◽  
Time Synchronization ◽  
Main Idea ◽  
Cloud Manufacturing ◽  
Blockchain Technology ◽  
Service Oriented

Cloud manufacturing is a new globalized manufacturing framework which has improved the performance of manufacturing systems. The service-oriented architecture as the main idea behind this framework means that all resources and capabilities are considered as services. The agents interact by way of service exchanging, which has been a part of service composition research topics. Service allocations to demanders in a cloud manufacturing system have a dynamic behavior. However, the current research studies on cloud-based service composition are mainly based on centralized global optimization models. Therefore, a distributed deployment and real-time synchronization platform, which enables the globalized collaboration in service composition, is required. This paper proposes a method of using blockchain to solve these issues. Each service composition is considered as a transaction in the blockchain concept. A block includes a set of service compositions and its validity is confirmed by a predefined consensus mechanism. In the suggested platform, the mining role in blockchain is interpreted as an endeavor for proposing the proper service composition in the manufacturing paradigm. The proposed platform has interesting capabilities as it can increase the response time using the blockchain technology and improve the overall optimality of supply-demand matching in cloud manufacturing. The efficiency of the proposed model was evaluated by investigating a service allocation problem in a cloud manufacturing system in four large scale problems. Each problem is examined in four centralized modes, two, three and four solvers in blockchain-based model. The simulation results indicate the high quality of the proposed solution. The proposed solution will lead to at least 15.14% and a maximum of 34.8 percent reduction in costs and 20 to 68.4 percent at the solving time of the problem. It is also observed that with increasing the number of solvers (especially in problems with larger dimensions) the solution speed increases sharply (more than 68% improvement in some problems), which indicates the positive effect of distribution on reducing the problem-solving time.

Issues on the Compatibility of Web Service Contracts

2013 ◽  
pp. 154-188 ◽  
Author(s):  
Surya Nepal ◽  
John Zic
Keyword(s):  
Web Service ◽  
Service Composition ◽  
Large Scale ◽  
Service Oriented Architecture ◽  
Distributed Applications ◽  
Compatibility Conditions ◽  
Service Contract ◽  
Service Contracts ◽  
Service Oriented ◽  
Application Developers

In the Service Oriented Architecture (SOA) model, a service is characterized by its exchange of asynchronous messages, and a service contract is a desirable composition of a variety of messages. Though this model is simple, implementing large-scale, cross-organizational distributed applications may be difficult to achieve in general, as there is no guarantee that service composition will be possible because of incompatibilities of Web service contracts. We categorize compatibility issues in Web service contracts into two broad categories: (a) between contracts of different services (which we define as a composability problem), and (b) a service contract and its implementation (which we define as a conformance problem). This chapter examines and addresses these problems, first by identifying and specifying contract compatibility conditions, and second, through the use of compatibility checking tools that enable application developers to perform checks at design time.

scholarly journals A Smart Cloud-Based System for the WEEE Recovery/Recycling

2014 ◽  
Author(s):  
Xi Vincent Wang ◽  
Brenda N. Lopez N. ◽  
Lihui Wang ◽  
Jinhui Li ◽  
Winifred Ijomah
Keyword(s):  
Manufacturing Systems ◽  
Service Oriented Architecture ◽  
Intelligent System ◽  
Hazardous Materials ◽  
Cloud Manufacturing ◽  
Data Management System ◽  
Manufacturing Processes ◽  
Component Level ◽  
Recovery System ◽  
Service Oriented

Waste Electrical and Electronic Equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus it is necessary to develop a distributed and intelligent system to support WEEE recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture that integrates various resources over the network. Cloud Manufacturing systems are proposed world-wide to support operational manufacturing processes. In this research, Cloud Manufacturing is further extended to the WEEE recovery and recycling context. A Cloud-based WEEE Recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.

scholarly journals A Smart Cloud-Based System for the WEEE Recovery/Recycling

2015 ◽  
Vol 137 (6) ◽  
Author(s):  
Xi Vincent Wang ◽  
Brenda N. Lopez N ◽  
Winifred Ijomah ◽  
Lihui Wang ◽  
Jinhui Li
Keyword(s):  
Manufacturing Systems ◽  
Service Oriented Architecture ◽  
Intelligent System ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
Electronic Equipment ◽  
Data Management System ◽  
Component Level ◽  
Recovery System ◽  
Service Oriented

Waste electrical and electronic equipment (WEEE) is both valuable and harmful since it contains a large number of profitable and hazardous materials and elements at the same time. At component level, many parts of the discarded equipment are still functional and recoverable. Thus, it is necessary to develop a distributed and intelligent system to support WEEE component recovery and recycling. In recent years, the Cloud concept has gained increasing popularity since it provides a service-oriented architecture (SOA) that integrates various resources over the network. Cloud manufacturing systems are proposed worldwide to support operational manufacturing processes. In this research, Cloud manufacturing is further extended to the WEEE recovery and recycling context. The Cloud services are applied in WEEE recovery and recycling processes by tracking and management services. These services include all the stakeholders from the beginning to the end of life of the electric and electronic equipment. A Cloud-based WEEE recovery system is developed to provide modularized recovery services on the Cloud. A data management system is developed as well, which maintains the knowledge throughout the product lifecycle. A product tracking mechanism is also proposed with the help of the Quick Respond code method.

Cloud Manufacturing in Support of Sustainability

2014 ◽  
Author(s):  
Xi Vincent Wang ◽  
Xun Xu
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing Industry ◽  
Service Oriented Architecture ◽  
Sustainable Manufacturing ◽  
Strong Support ◽  
Cloud Manufacturing ◽  
Intelligent Manufacturing ◽  
New Paradigm ◽  
Service Oriented ◽  
Manufacturing Network

In a modern manufacturing business, collaborations not only exist among its own departments, but also among business partners. Cloud Manufacturing can assist this type of collaborations. As a new paradigm of manufacturing network, Cloud Manufacturing combines Cloud Computing with networked manufacturing under service-oriented architecture. It is set to fundamentally change how products are designed, manufactured, shipped and maintained. Besides the support to collaborative and intelligent manufacturing processes, it is also possible to realize sustainability in the Cloud Manufacturing paradigm. In this paper, recent Cloud Manufacturing approaches are discussed from the sustainable manufacturing perspective. The major difference between Cloud Manufacturing and web-based manufacturing systems are specifically discussed. Cloud-based methods are analyzed to support reasonable and logic strategies. It is believed that Cloud Manufacturing can provide a strong support to the manufacturing industry, in particular for sustainability.

DYNAMIC REST SERVICES ORCHESTRATION USING THE KNOWLEDGE BASE

2019 ◽  
Author(s):  
Kostyantyn Kharchenko
Keyword(s):  
Knowledge Base ◽  
Service Oriented Architecture ◽  
Main Idea ◽  
The Real ◽  
Server Side ◽  
Service Oriented ◽  
Services Orchestration ◽  
Client Side ◽  
Abstract Operation ◽  
Microservice Architecture

The approach to organizing the automated calculations’ execution process using the web services (in particular, REST-services) is reviewed. The given solution will simplify the procedure of introduction of the new functionality in applied systems built according to the service-oriented architecture and microservice architecture principles. The main idea of the proposed solution is in maximum division of the server-side logic development and the client-side logic, when clients are used to set the abstract computation goals without any dependencies to existing applied services. It is proposed to rely on the centralized scheme to organize the computations (named as orchestration) and to put to the knowledge base the set of rules used to build (in multiple steps) the concrete computational scenario from the abstract goal. It is proposed to include the computing task’s execution subsystem to the software architecture of the applied system. This subsystem is composed of the service which is processing the incoming requests for execution, the service registry and the orchestration service. The clients send requests to the execution subsystem without any references to the real-world services to be called. The service registry searches the knowledge base for the corresponding input request template, then the abstract operation description search for the request template is performed. Each abstract operation may already have its implementation in the form of workflow composed of invocations of the real applied services’ operations. In case of absence of the corresponding workflow in the database, this workflow implementation could be synthesized dynamically according to the input and output data and the functionality description of the abstract operation and registered applied services. The workflows are executed by the orchestrator service. Thus, adding some new functions to the client side can be possible without any changes at the server side. And vice versa, adding new services can impact the execution of the calculations without updating the clients.

Interoperability in Cloud Manufacturing and Practice on Private Cloud Structure for SMEs

2017 ◽  
Author(s):  
Xi Vincent Wang ◽  
Lihui Wang
Keyword(s):  
Manufacturing Systems ◽  
Manufacturing System ◽  
Research Work ◽  
Cloud Manufacturing ◽  
Cloud Services ◽  
Security Requirements ◽  
Research Trend ◽  
Safety Regulations ◽  
Multiple Challenges ◽  
New Research

In recent years, Cloud manufacturing has become a new research trend in manufacturing systems leading to the next generation of production paradigm. However, the interoperability issue still requires more research due to the heterogeneous environment caused by multiple Cloud services and applications developed in different platforms and languages. Therefore, this research aims to combat the interoperability issue in Cloud Manufacturing System. During implementation, the industrial users, especially Small- and Medium-sized Enterprises (SMEs), are normally short of budget for hardware and software investment due to financial stresses, but they are facing multiple challenges required by customers at the same time including security requirements, safety regulations. Therefore in this research work, the proposed Cloud manufacturing system is specifically tailored for SMEs.

scholarly journals Introduction to Containerization

2020 ◽  
Vol 6 (12) ◽  
pp. 294-300
Author(s):  
Raghav Goel and Dr. Bhoomi Gupta
Keyword(s):  
Large Scale ◽  
Software Engineer ◽  
Service Oriented Architecture ◽  
Use Case ◽  
Production Environment ◽  
Code Base ◽  
Enterprise Applications ◽  
Service Oriented ◽  
Multiple Services ◽  
Local Machine

Are you a software engineer/developer/coder or maybe even a tech enthusiast who is thinking of agility, parallel development and reducing cost. In the early twentieth century, we witnessed the rise of Service Oriented Architecture (SOA), which is a software architecture pattern that allows us to construct large-scale enterprise applications that require us to integrate multiple services, each of which is made over different platforms and languages through a common communication mechanism, where we write code and multiple services talk to each other’s for a business use case, but sometimes we end up with one big monolithic code base whose maintenance becomes difficult. Nowadays clients are using cloud and paying for on-demand services without effectively utilizing resources. These problems invite micro-services. In this paper, I am going to discuss how one should use scale application in a production environment and local machine

Rapid Development of Adaptable Situation-Aware Service-based Systems

2010 ◽  
pp. 104-139 ◽  
Author(s):  
S.S. Yau ◽  
S. Mukhopadhyay ◽  
H. Davulcu ◽  
D. Huang ◽  
R. Bharadwaj ◽  
...  
Keyword(s):  
Distributed Control ◽  
Homeland Security ◽  
Situation Awareness ◽  
Service Composition ◽  
Large Scale ◽  
Rapid Development ◽  
Control Flow ◽  
Agent Platform ◽  
Service Oriented ◽  
Adaptive Workflows

Service-based systems have many applications, such as collaborative research and development, e-business, health care, military applications and homeland security. In these systems, it is necessary to provide users the capability of composing appropriate services into workflows offering higher-level functionality based on declaratively specified goals. In a large-scale and dynamic service-oriented computing environment, it is desirable that the service composition is automated and situation-aware so that robust and adaptive workflows can be generated. However, existing languages for web services are not expressive enough to model services with situation awareness (SAW) and side effects. This chapter presents an approach to rapid development of adaptable situation-aware service-based systems. This approach is based on the a-logic and a-calculus, and a declarative model for SAW. This approach consists of four major components: (1) analyzing SAW requirements using our declarative model for SAW, (2) translating the model representation to a-logic specifications and specifying a control flow graph in a-logic as the goal for situation-aware service composition., (3) automated synthesis of a-calculus terms that define situation-aware workflow agents for situation-aware service composition, and (4) compilation of a-calculus terms to executable components on an agent platform. An example of applying our framework in developing a distributed control system for intelligently and reliably managing a power grid is given.

A Novel Physics Inspired Approach for Web Service Composition

2014 ◽  
Vol 11 (2) ◽  
pp. 67-84 ◽  
Author(s):  
Tanveer Ahmed ◽  
Abhishek Srivastava
Keyword(s):  
Web Services ◽  
Web Service ◽  
Service Composition ◽  
Service Oriented Architecture ◽  
Service Providers ◽  
Web Service Composition ◽  
Heterogeneous Services ◽  
Service Oriented ◽  
Service Consumer ◽  
Selection Of

Service oriented architecture has revolutionized the way a traditional business process is executed. The success of this architecture is Indue to the composition of multiple heterogeneous services at runtime. Web service composition is a mechanism where several web services are combined at runtime to build a complex application for a user. It is one of the most sought after processes in the context of semantic web. But, composition of web services at runtime is a difficult task owing to the availability of multiple service providers offering the same functionality. The process if exasperated by due conflicting preferences of a service consumer. In this paper, the authors address the issue of selecting a service based on Quality of Service (QoS) attributes. They utilize concepts customized from physics to create an environment that facilitates the selection of a best service from the set of similar services. The technique not only facilitates the selection of the service with the best QoS attributes, but distributes the load among expeditiously. Here in this paper, the authors concentrate on minimizing and equitably balancing the waiting time for a user. They conduct in silico experiments on multiple workflows to demonstrate the efficacy of the proposed technique to balance load efficiently among similar service offerings.

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