Diverse task scheduling for individualized requirements in cloud manufacturing

Cloud manufacturing (CMfg) has emerged as a new manufacturing paradigm that provides ubiquitous, on-demand manufacturing services to customers through network and CMfg platforms. In CMfg system, task scheduling as an important means of finding suitable services for specific manufacturing tasks plays a key role in enhancing the system performance. Customers’ requirements in CMfg are highly individualized, which leads to diverse manufacturing tasks in terms of execution flows and users’ preferences. We focus on diverse manufacturing tasks and aim to address their scheduling issue in CMfg. First of all, a mathematical model of task scheduling is built based on analysis of the scheduling process in CMfg. To solve this scheduling problem, we propose a scheduling method aiming for diverse tasks, which enables each service demander to obtain desired manufacturing services. The candidate service sets are generated according to subtask directed graphs. An improved genetic algorithm is applied to searching for optimal task scheduling solutions. The effectiveness of the scheduling method proposed is verified by a case study with individualized customers’ requirements. The results indicate that the proposed task scheduling method is able to achieve better performance than some usual algorithms such as simulated annealing and pattern search.     

Cloud manufacturing: from concept to practice

The concept of cloud manufacturing is emerging as a new promising manufacturing paradigm, as well as a business model, which is reshaping the service-oriented, highly collaborative, knowledge-intensive and eco-efficient manufacturing industry. However, the basic concepts about cloud manufacturing are still in discussion. Both academia and industry will need to have a commonly accepted definition of cloud manufacturing, as well as further guidance and recommendations on how to develop and implement cloud manufacturing. In this paper, we review some of the research work and clarify some fundamental terminologies in this field. Further, we developed a cloud manufacturing systems which may serve as an application example. From a systematic and practical perspective, the key requirements of cloud manufacturing platforms are investigated, and then we propose a cloud manufacturing platform prototype, MfgCloud. Finally, a public cloud manufacturing system for small- and medium-sized enterprises (SME) is presented. This paper presents a new perspective for cloud manufacturing, as well as a cloud-to-ground solution. The integrated solution proposed in this paper, including the terminology, MfgCloud, and applications, can push forward this new paradigm from concept to practice.     

Service load balancing,task scheduling and transportation optimisation in cloud manufacturing by applying queuing system

Recently, there is a great deal of attention in Cloud Manufacturing (CMfg) as a new service-oriented manufacturing paradigm. To integrate the activities and services through a CMfg, both Service Load balancing and Transportation Optimisation (SLTO) are two major issues to ease the success of CMfg. Based on this motivation, this study presents a new queuing network for parallel scheduling of multiple processes and orders from customers to be supplied. Another main contribution of this paper is a new heuristic algorithm based on the process time of the tasks of the orders (LBPT) to solve the proposed problem. To formulate it, a novel multi-objective mathematical model as a Mixed Integer Linear Programming (MILP) is developed. Accordingly, this study employs the multi-choice multi-objective goal programming with a utility function to model the introduced SLTO problem. To better solve the problem, a Particle Swarm Optimisation (PSO) algorithm is developed to tackle this optimisation problem. Finally, a comparative study with different analyses through four scenarios demonstrates that there are some improvements on the sum of process and transportation costs by 6.1%, the sum of process and transportation times by 10.6%, and the service load disparity by 48.6% relative to the benchmark scenario.     

Research on manufacturing grid resource service optimal-selection and composition framework

In order to address the resource service optimal-selection (RSOS) and composition problem in manufacturing grid (MGrid) system and provide high-quality service to users, an MGrid RSOS and composition framework (MGrid-RSOSCF) is investigated in this study. The process of RSOS and composition is divided into the following five steps in MGrid-RSOSCF: (1) decomposing the submitted manufacturing task into several subtasks (i.e. single resource service requested task) if the submitted task is a multiple resource service requested task; (2) searching out the qualified resource service for each decomposed subtask and generating the corresponding candidate resource service set; (3) retrieving, evaluating and comparing the quality of service (QoS) for each candidate resource service, and provide data for service optimal-selection and composition –if the submitted task is a single resource service requested task; (4) evaluating synthetically the overall quality of each candidate resource service and ranking them, and selecting the optimal one for the task – if the submitted manufacturing task is an multiple resource service requested task; (5) selecting one candidate resource service from each candidate resource service set and constructing a new composite resource service according to the submitted task requirements, and collecting all the possible resource service composite execution paths (RSCEP) and selecting the optimal paths to execute the task. The proposed MGrid-RSOSCF consists of five layers and each layer provides the corresponding necessary services and algorithms to address one problem mentioned above. The five layers are: (1) T-layer, responsible for MGrid task decomposition; (2) S-layer, responsible for resource service match and search; (3) Q-layer, responsible for QoS processing; (4) O-layer, responsible for evaluating and ranking the candidate resource service and (5) C-layer is responsible for resource service composition and optimal-selection. The case study and comparison of performances of the algorithms demonstrate that the proposed methods are sound on success rate and executing efficiency.     

A PageRank-based reputation model for personalised manufacturing service recommendation

The number of manufacturing services for cross-enterprise business collaborations is increasing rapidly because of the explosive growth of Web service technologies. This trend demands intelligent and robust models to address information overload in order to enable efficient discovery of manufacturing services. In this paper, we present a personalised manufacturing service recommendation approach, which combines a PageRank-based reputation model and a collaborative filtering technique in a unified framework for recommending the right manufacturing services to an active service user for supply chain deployment. The novel aspect of this research is adapting the PageRank algorithm to a network of service-oriented multi-echelon supply chain in order to determine both user reputation and service reputation. In addition, it explores the use of these methods in alleviating data sparsity and cold start problems that hinder traditional collaborative filtering techniques. A case study is conducted to validate the practicality and effectiveness of the proposed approach in recommending the right manufacturing services to active service users.     

Robust and stable multi-task manufacturing scheduling with uncertainties using a two-stage extended genetic algorithm

ABSTRACT

In cloud manufacturing (CMfg), unexpected uncertainties can occur in real-world manufacturing processes that could make the predetermined schedule infeasible. A new multi-objective proactive method is proposed in this situation to evaluate the proactive schedule. A novel two-stage extended genetic algorithm (2S-EGA) is proposed to generate proactive schedules that consider service interruptions. The experimental results confirmed that the obtained proactive schedule produces great performance when applied to multi-task scheduling problems with service interruptions. Furthermore, the results also showed that the proactive schedule obtained by the proposed approach is more robust and stable than other baseline algorithms taken from the literature.     

云计算环境下的图书馆建设与服务创新

本文首先介绍云计算技术在云基础设施、SaaS、云存储等方面提升了图书馆建设与服务能力,分析了云计算技术在图书馆资源建设与服务中的应用,并探讨了云计算环境下的全面的用户交互、准确的智能性资源检索、一体化的综合信息等图书馆服务模式的创新。     

高校校园网云服务平台建设研究

本文分析了高校教学信息化环境中存在的问题,提出了云计算应用于高校校园网信息化建设的设计方案。该方案旨在建立一套适用于高校的云服务平台,提供形式多样的服务,包括虚拟机服务、信息推送、自助服务定制、安全管理等,为高校校园网应用引入云计算提供了可行思路。     

An agent-based peer-to-peer architecture for semantic discovery of manufacturing services across virtual enterprises

With the development of virtual enterprise (VE) paradigm, the usage of serviceoriented architecture (SOA) is increasingly being considered for facilitating the integration and utilisation of distributed manufacturing resources. However, due to the heterogeneous nature among VEs, the dynamic nature of a VE and the autonomous nature of each VE member, the lack of both sophisticated coordination mechanism in the popular centralised infrastructure and semantic expressivity in the existing SOA standards make the current centralised, syntactic service discovery method undesirable. This motivates the proposed agent-based peer-to-peer (P2P) architecture for semantic discovery of manufacturing services across VEs. Multi-agent technology provides autonomous and flexible problemsolving capabilities in dynamic and adaptive VE environments. Peer-to-peer overlay provides highly scalable coupling across decentralised VEs, each of which exhibiting as a peer composed of multiple agents dealing with manufacturing services. The proposed architecture utilises a novel, efficient, two-stage search strategy – semantic peer discovery and semantic service discovery – to handle the complex searches of manufacturing services across VEs through fast peer filtering. The operation and experimental evaluation of the prototype system are presented to validate the implementation of the proposed approach.     

面向云的视频会议系统设计与实现

随着人们生活水平的提高,人们对视频会议的要求也越来越高,无论是清晰度还是实时性都有较多要求。与视频会议相关的技术有很多,例如云计算,NGImeetings Cluster框架结构等,云计算在视频系统当中具有很大的作用,可以对系统进行测试,NGImeetings Cluster系统结合云计算的优势可以使NGImeetings Cluster服务框架更加灵活,大大提高系统的服务性能。     

云理念下大型船企内部资源整合思路

基于云理念,文章提出了大型船企内部资源整合思路。文章首先分析了大型船企内部资源的典型特征,继而提出船企内部制造云与内部需求云的概念。通过构建云企业,促使最佳的服务资源与最契合的服务需求相结合,从而达到从整体上提升企业竞争力的目的。     

Applications integration in a hybrid cloud computing environment: modelling and platform

With the development of application services providers and cloud computing, more and more small- and medium-sized business enterprises use software services and even infrastructure services provided by professional information service companies to replace all or part of their information systems (ISs). These information service companies provide applications, such as data storage, computing processes, document sharing and even management information system services as public resources to support the business process management of their customers. However, no cloud computing service vendor can satisfy the full functional IS requirements of an enterprise. As a result, enterprises often have to simultaneously use systems distributed in different clouds and their intra enterprise ISs. Thus, this article presents a framework to integrate applications deployed in public clouds and intra ISs. A run-time platform is developed and a cross-computing environment process modelling technique is also developed to improve the feasibility of ISs under hybrid cloud computing environments.     

高校图书馆数字阅读环境下的云服务模式研究

在社会发展新阶段,数字阅读逐步成为今后人类社会阅读的重要发展趋势。论文对目前高校图书馆数字资源发展建设中存有的问题进行分析,并分析图书馆发展中云计算应用的有利因素,分析数字图书馆云服务平台基本架构与具体应用方式,探析数字阅读环境中的图书馆云服务模式,从而通过云服务模式构建为图书馆发展提供低成本、可拓展、动态化数据分配与集成解决方案。     

云计算与信息安全

信息安全是当前计算机科学的一个研究热点;云计算是一个新的技术,给信息安全提供了挑战和机遇。介绍了云计算的基本概念、云计算的安全问题,通过云计算用户以及云计算服务提供商两方面分析了云计算中确保信息安全的方法。     

云计算环境下,专业高校图书馆面临的挑战和机遇

云计算作为一种以数据为中心的新型网络计算方式,已经深刻地影响到了互联网的运作和服务模式;而做专业高等院校的图书馆,面对这种IT新技术的强烈冲击,必然受到了更为严峻的挑战和考验。如今,云计算已经逐渐使图书馆的文献信息服务,进入了一个崭新的发展阶段;应用云计算的模式,从根本上改变图书馆文献信息资料获取、保存的方式和服务理念。文章探讨了专业高校图书馆在云计算的研究和开发的热潮中,应该如何抓住机遇,做好准备,积极应对新技术带来的新挑战。     

Integration of hybrid wireless networks in cloud services oriented enterprise information systems

This article presents a hybrid wireless network integration scheme in cloud services-based enterprise information systems (EISs). With the emerging hybrid wireless networks and cloud computing technologies, it is necessary to develop a scheme that can seamlessly integrate these new technologies into existing EISs. By combining the hybrid wireless networks and computing in EIS, a new framework is proposed, which includes frontend layer, middle layer and backend layers connected to IP EISs. Based on a collaborative architecture, cloud services management framework and process diagram are presented. As a key feature, the proposed approach integrates access control functionalities within the hybrid framework that provide users with filtered views on available cloud services based on cloud service access requirements and user security credentials. In future work, we will implement the proposed framework over SwanMesh platform by integrating the UPnP standard into an enterprise information system.     

Advanced manufacturing systems: supply–demand matching of manufacturing resource based on complex networks and Internet of Things

ABSTRACT

After investigation on the existing advanced manufacturing systems (AMSs), it is found that supply–demand matching of manufacturing resource is one of the common issues to be addressed in all AMSs, and methods for addressing this issue have evolved from P2P (peer-to-peer)-based, to information centre-based, and to platform (or system)-based matching, and are moving towards socialisation and service-based solutions. In order to adapt to this trend, a new method for manufacturing resource supply–demand matching based on complex networks and Internet of Things (IoT) is proposed, and a four-layered architecture for implementing this method is designed. In this method, IoT technology is employed to realise the intelligent perception and accessing of various manufacturing resources and capabilities (MR&C), which enables logical aggregation of various distributed MR&C in the form of services. Then complex networks model and theory are used to realise the efficient manufacturing service management, optimal-allocation, and supply–demand matching. In this article, the specific key technologies for implementing the method are presented, including key technologies for manufacturing service generation and aggregation, manufacturing demand/task management, supply–demand matching of MR&C in the form of services, and value/utility adding based on manufacturing service network (MSN), manufacturing task network (MTN) and manufacturing enterprises collaborative network (ECN).     

基于生态学的云设计关键技术构建

以制造云为基础,从生态学视角阐述了云设计资源管理运行原理,并提出了基于生态学的设计云构建层次模型,并对设计云构建过程中所涉及的云设计资源分类、云设计资源生态系统构建主要关键技术做了探讨,以期为网络化资源管理提供借鉴。     

物流园区云物流服务平台的构建研究

为提高物流园区的工作效率和服务水平,引入了以云计算为基础的云物流。文中介绍了云计算及云物流的概念,根据物流园区作业流程,构建了一种基于云服务的物流园区服务系统模型,并在此基础上给出了云物流服务平台的技术构架,最后以案例分析说明了云物流的构建和应用。     

浅析“云安全”在图书馆网络信息服务中的应用

本文试从云计算、云安全具有较高的数据存储能力和云安全的基本模型、风险和安全,以及能为图书馆提供一个随时随地更新资源的网络信息服务平台出发,浅析"云安全"在图书馆网络信息服务中的应用问题,从而降低读者用户的信息获取成本,提高了图书馆信息资源的利用率,确保图书馆网络信息服务的安全。