We discuss middleware requirements for remote monitoring and control applications. These requirements reflect our experiences with the RBMO Project (remote building monitoring and operations) of commercial buildings HVAC systems (heating, ventilating, and air conditioning) and our participation in standards efforts related to control of large electric utility grids. Similar requirements exist f...

This paper concerns with the future development of a parallel program package for 3D viscous gas flow simulation presented in [1]. One of the restrictions of this package was its orientation on use of only structured non-uniform meshes. This restriction may be rather taxing when high accuracy resolution of the solution particularities in small regions is needed. Using of regular non-uniform mes...

Growing energy needs forces governments to look for alternative resources and ways of better energy grid management and load balancing. As a major initiative, many countries including the UK, the USA and China have already started deploying smart grids. One of the biggest advantages of smart grids compared to traditional energy grids is the ability to remotely read fine-granular measurements fr...

Important developments -the data deluge, Cloud computing, multicore architectures and growing importance of lightweight clients (tablets and smartphones) -are changing the Cyberinfrastructure (eInfrastructure) supporting eResearch. Many of the detailed features of Grids seem unlikely to survive with clouds replacing many aspects of compute grids. On the other hand, supercomputers and clusters s...

The Grid Computing (grid) refers to technologies that allow consumers to obtain computing on demand, analogous in form and utility to electrical grid [1]. Grids and related application technologies are enabling scientists and engineers to build more and more complex applications for managing and processing large data sets, and for executing scientific experiments on distributed heterogeneous re...

Utilities are challenged to improve efficiency and operations as they update their aging network assets and implement more complex smart grids. An integrated design and asset management workflow can help utilities improve efficiency, enhance asset selection and accounting, and improve data quality as a foundation for better safety, reliability, and compliance. This paper explores one approach t...

Resource allocation has a direct and profound impact on the performance of resource-limited smart grids with diversified services that need to be timely processed. In this paper, we investigate joint communication, computing, caching resource problem distinct delay requirement in grids. This paper aims optimize long-term system utility based reward loss function. Considering unknown dynamic env...

The present paper investigates the advantages of a new class of composite grid structures over conventional grids. Thus far, a known grid structure such as orthogrid or isogrid has been used as an orthotropic layer with at most in-plane anisotropy. The present laminated grid is composed of various numbers of thin composite grid layers. The stiffness of the structure can be adjusted by choosing ...

In the mid 1990s, the grid computing community promised the ”compute power grid,” a utility computing infrastructure for scientists and engineers. Since then, a variety of grids have been built world-wide—for academic purposes, for specific application domains, for general production work. Understanding the workloads of grids is important for the design and tuning of future grid resource manage...

Most of the fault wave localization methods are based on analysis line current transformed by transformers and limited to high voltage grids. Fault in medium grids is still being developed. This paper presents a new real-time algorithm for identification travelling waves distribution grid using signal short-time matrix pencil method. To obtain secondary side waveforms at substation, model resis...