MGrid System Research Articles

Koncepcja systemu MGrid do wspomagania, projektowania i sterowania pracą wielonośnikowych mikrosieci energetycznych

The idea of the MGrid system for multicarrier energy microgrid designing and control is presented in the article. The first part of the work contains reasons for undertaking the problem of complex optimisation of utilising various energy forms on the operation area of a typical microgid. The planned system functionality and architecture is also presented. Conclusions concerning expected advantages as a consequence of using the proposed system are discussed.

A hybrid chaotic quantum evolutionary algorithm for resource combinatorial optimization in manufacturing grid system

Resource composition in manufacturing grid (MGrid) system is one of the recent critical issues of MGrid researches. Especially, resource combinatorial optimization (RCO) becomes more challenging when multiple optimal criteria are considered in MGrid system. Based on the quantum evolution theory, we propose a hybrid chaotic quantum evolutionary algorithm (CQEA) for RCO problems. We also propose a novel resource encoding method for CQEA, which is dynamic and flexible. The experimental results show that the proposed CQEA is effective, efficient, and scalable for the RCO problem in MGrid system.

Resource service optimal-selection based on intuitionistic fuzzy set and non-functionality QoS in manufacturing grid system

In manufacturing grid (MGrid) system, according to functional requirements of a task, there exist a lot of resource services which have similar functional characteristics. Multiple resource services with similar functional characteristics raise the concern over resource service optimal-selection (RSOS). It is important to select the optimal resource service according to their non-functionality characteristics or quality of service (QoS). However, QoS attributes are not easy to measure due to their complexity and involvement of ill-structured information. In this study, user’s feeling is taken into account in RSOS in an MGrid system. The non-functionality QoS evaluation of resource services is based on users’ feeling and transaction experiences using intuitionistic fuzzy set (IFS). Furthermore, the dynamics of non-functionality QoS is considered, and a time-decay function is introduced into non-functionality QoS evaluation. A new method is proposed for RSOS based on IFS and non-functionality QoS, and the procedures are presented in detail. A practice case study is used to illustrate the proposed method and procedure. The performance and advantage of the proposed method are discussed.

Research on co-reservation in the manufacturing grid system

According to the features of manufacturing grid (MGrid) resources, some resources should be reserved jointly to schedulers before executing a complex MGrid task. We define it as a co-reservation. In order to support co-reservation, we design a framework, a workflow, and a series of application programming interfaces of co-reservation in the MGrid system. The processing of co-reservation requests may be expensive due to a number of cell reservations, the complex relationships, and the large number of eligible resources in the MGrid system. In this paper, the processing of co-reservation requests is transferred to the subgraph isomorphism problem and an improved algorithm is introduced to solve it efficiently. Finally, we implement a prototype of co-reservation in the magnetic bearing resource and service sharing platform under MGrid. The experiment results show that the improved algorithm is effective to co-reservation.

Application and modeling of resource service trust-QoS evaluation in manufacturing grid system

Resource scheduling is the bottleneck in MGrid; the current research on resource scheduling strategy is mainly based on resource performance-QoS (quality of service), but the factor of trust-QoS is ignored, which will result in unreasonable and unpractical scheduling results. In order to enhance the validity and success rate of resource scheduling in a manufacturing grid (MGrid) system, provide high credible resource service abilities and results to the user, the concept of resource service trust-QoS is presented; trust-QoS was introduced into MGrid resource service scheduling and the important roles it plays emphasized. The trust problems existing in the resource service transaction between resource service demanders (RSD) and resource service providers (RSP) are put forward. The trust-QoS relationship model which is capable of capturing a comprehensive range of trust relationships which exist in the MGrid system is put forward. Then a two-layer resource service trust-QoS evaluation model is put forward, including an intra-domain trust-QoS evaluation model and an inter-domain trust-QoS evaluation model. The quantitative evaluating algorithms of trust-QoS degree value are proposed and described in detail, as well as the value of real-time and dynamic updating algorithms of trust-QoS degree. Finally, an application prototype, namely MBRSPP-MGrid, is developed. The experimental results of the case study show that the proposed models and algorithms are effective and useful.

Study of failure detection and recovery in manufacturing grid resource service scheduling

A Manufacturing Grid (MGrid) system is different from a conventional distributed computing system due to its focus on larger-scale, distributed and heterogeneous manufacturing resource and service sharing, including equipment resources, application system resources, material resources, technical resources, public service resources, etc., where remote resource service scheduling (e.g., remote accessing, information communication) has a large influence on the MGrid quality of service (QoS). The probability of failure is higher in MGrid resource service scheduling and failures affect task execution and the quality of service of the MGrid fatally. Therefore, this paper focuses on failures in the MGrid resource service scheduling process. The potential failures that can occur during MGrid resource service scheduling are investigated. Thirteen failures are first defined in detail and are classified into four categories: (a) virtual-link-related failures, (b) resource-service-related failures, (c) task-related failures, and (d) application-related failures. A failure management system of the MGrid system is presented associated with its architecture. Corresponding detection mechanisms and methods for each defined failure are presented in detail, as well as the corresponding failure recovery methods. The implementation and simulation results indicate that our approaches are sound for promoting a successful scheduling rate and shortening the total execution time of the MGrid resource service.

Modelling and application of optimal-selection evaluation for manufacturing grid resource

Manufacturing grid (MGrid) is a new resource sharing platform. To reduce the decision-making time of selecting appropriate resources for special clients and to improve the quality of service (QoS) in MGrid, the evaluation indices library is established, which includes the general evaluation indices, the special evaluation indices and the individual evaluation indices. The notion of agent-based resource optimal selection evaluation is proposed in the MGrid and the architecture model and the particular algorithm are presented. The experimental results show that the model and the algorithm are feasible and effective for solving the problem of resource optimal selection in the MGrid system.

Study on Manufacturing Grid and its executing platform

Advanced manufacturing technologies and modes, grid technologies, information technologies and advanced management technologies were integrated to solve the resource sharing and collaborative operation in current manufacturing process. A new manufacturing mode namely Manufacturing Grid (MGrid) was presented. After the grid and its applications were summarised, the concept of MGrid was discussed firstly, and the related works about MGrid as well. Then the differences between MGrid and networked manufacturing and computational grid, the structure and main functions of MGrid system, were put forward. The executing platform of MGrid and its main workflow were presented thirdly. An application prototype, namely MBRSSP-MGrid, was developed to show the workflow of MGrid system.