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As the future development trend of advanced manufacturing technologies, manufacturing grid (MG) is attracting more and more interests, and massive results have been achieved. However, as current existing service MG platforms are based on different standards and specifications, access to manufacturing resources of these platforms remains incompatible. To enhance the adaptability of MG with different standards, a uniform manufacturing resource service adapter for MG called uniform service adapter (UA) is suggested. Firstly, existing service access mechanisms of current MG are analyzed briefly. Then the frameworks of UA, which are composed of three parts, namely the service adapter, the data management adapter, and the binding adapter, is presented. Next, each part of UA is realized in detail. Lastly, a simple test scene of UA is provided. The UA introduced in the paper can accommodate the dynamics, complexity, and heterogeneity of the situation, providing a uniform interface for the upper applications to overcome the incompatibility of the services with different standards.

Computational steering refers to the real-time interaction of a scientist with their running simulation code. Despite the many benefits associated with computational steering, its uptake to date has been limited. In this paper we discuss the reasons for this and how the computational steering library and associated tools developed as part of the RealityGrid project aim to tackle them. We describe the functionality of the steering library and the use of Grid services in constructing a generic, dynamic architecture for discovering, steering and connecting visualization software to running simulations. The use of on-line visualization for providing feedback to the scientist is described, including the ways in which it may be enhanced through tools such as Chromium and Access Grid. Finally, we illustrate the flexibility of our approach by describing the functionality that has been added to various simulation codes as part of the RealityGrid project.

From the perspective of resource sharing, grid computing is a system ranging from small kind of network system for home using to large-scale network computing systems even to the Internet. The management of resources in the grid environment becomes very complex as these resources are distributed geographically, heterogeneous in nature, and each having their own resource management policies and different access as well as cost models. In this paper, we bring forward an efficient resources management model and task scheduling algorithm in grid computing. The simulation results show that the proposed algorithm achieves resource load balancing, and can be applied to the optimization of task scheduling successfully.

Grid computing is a new type of network computing platform emerged after the World Wide Web, which objective is to provide a kind of infrastructure that shares all kinds of information for user． This paper brings forward a Grid-P2P model based on Peer-to-Peer computing, and designs a peer-to-peer genetic scheduling algorithm. The simulation results show that this model increased validity and accuracy of grid computing. It can be applied to the optimization of task scheduling successfully.

We describe the service architecture of the successful TeraGyroid experiment. In particular we discuss the use of the open Grid service infrastructure (OGSI) to build the services used during the experiment and illustrate the problems we encountered.

In recent years, Grid Computing has attracted the attention of the technical community with the evolution of on‐demand and autonomic computing; the business community is also starting to consider its potential merits at this juncture. For any kind of new technology corporate and business decision‐makers typically seek answers a set of questions, including “Are there firm standards to support the technology and its widespread deployment?” Because Grid Computing is a process of coordinated resource sharing and problem‐solving in dynamically‐established, multi‐institutional virtual organizations, and/or in a computing utility environment, standards are crucial to commercial success. The Grid Computing paradigm based on open standards can also be utilized to define a “portable” form of outsourcing (call it “open source outsourcing”) where service providers can be painlessly replaced “at will”. Evolving Grid Computing Standards, include the OGSI (Open Grid Services Infrastructure) and the OGSA (Open Grid Services Architecture), which are based on Web Services (WS). This chapter looks at OGSI (Chapter 5 looks at OGSA). A Grid Service is defined as a special Web Service. A detailed description of the application of the WS apparatus to Grid Computing is provided in this chapter.

Mass adoption of battery electric vehicles (BEVs) and their associated charging requirements introduce new electricity demand, which needs to be managed to minimise electricity grid upgrades. Management of BEV charging requires coordination and communication between various mobility and energy entities. Communication protocols provide a set of rules and guidelines to facilitate the communication and data exchange between two or more entities to ensure successful charging demand management and electricity grid integration of BEVs. A key challenge is that companies are currently developing and implementing several proprietary protocols to manage BEV charging, which could risk losing or vastly under-utilising BEV charging demand flexibility, and consequently hindering proper grid integration. This work presents the status quo on communication protocols and standards for vehicle grid integration and it is targeted for industries and governments. The objectives of the work are to review current protocols, present some of the advantages of open protocols, identify challenges and additional efforts required to develop, implement, and standardise these protocols to ensure that charging infrastructure for electric vehicles is synergistic with the operation of the electricity system.

Increasing penetrations of interoperable distributed energy resources (DER) in the electric power system are expanding the power system attack surface. Maloperation or malicious control of DER equipment can now cause substantial disturbances to grid operations. Fortunately, many options exist to defend and limit adversary impact on these newly-created DER communication networks, which typically traverse the public internet. However, implementing these security features will increase communication latency, thereby adversely impacting real-time DER grid support service effectiveness. In this work, a collection of software tools called SCEPTRE was used to create a co-simulation environment where SunSpec-compliant photovoltaic inverters were deployed as virtual machines and interconnected to simulated communication network equipment. Network segmentation, encryption, and moving target defence security features were deployed on the control network to evaluate their influence on cybersecurity metrics and power system performance. The results indicated that adding these security features did not impact DER-based grid control systems but improved the cybersecurity posture of the network when implemented appropriately.

Effective planning, management, and optimization of electrical distribution networks are essential components of modern smart city development and energy sustainability. This study presents a geospatial decision-support system for the low and medium voltage (LV/MV) network of Elektrokrajina d.o.o., the main electricity distributor in Republika Srpska. Model of the system is built upon the extended INSPIRE Utility Network – Electricity model. It leverages a 2D/3D WebGIS platform (ELMAP) to visualize, analyze, and manage electrical infrastructure using open-source technologies such as PostgreSQL/PostGIS, pgRouting, Geoserver and Mapbox. The integration of real-time and semi-structured data from sensors and enterprise systems (e.g., SAP, MDM) is enabled via service-oriented architecture and parallelized query execution. Particular attention is given to addressing topological inconsistencies in legacy data, reconstructing network topology, and linking meter positions to buildings using GPS and OSM data. Custom algorithms were developed for voltage-level tracking, meter reading route optimization, and network loss analysis, including indicators such as SAIFI, SAIDI, and peak loads. The platform enables spatial identification of critical infrastructure points and supports strategic decisions regarding transformer zoning, network upgrades, and demand management. This research highlights the importance of structured 3D geospatial data and demonstrates how scalable, open-source WebGIS systems can support the energy sector in meeting smart grid and sustainability goals.

Scaling up renewable energy, such as wind and solar, goes hand-in-hand with the expansion of transmission infrastructure. The richest solar and wind renewable energy sites are often located far away from consumption centers or existing transmission networks. Unlike fossil fuel-based power sources, renewable energy sources are greatly site-constrained and, for this reason, transmission networks need to be expanded to reach the renewable energy sites. Delivering transmission is a challenge, given the dispersion and granularity of renewable sources. Tapping a few hundred megawatts of renewable energy sources, such as wind and solar power, will likely require delivering transmission to several sites. Furthermore, transmission is also required to smooth out the variability of new renewable sources in a large geographical area. For these reasons, countries' renewable energy scale-up efforts are being challenged by the need for timely and efficient delivery of transmission networks. The objective of this report is to present emerging lessons and recommendations on approaches to efficiently and effectively expand transmission networks for renewable energy scale-up. The report focuses on the planning and regulatory aspects of transmission expansion that are relevant to transmission utilities and electricity regulators.