Smart grid is a new vision of the conventional power to integrate green and renewable technologies. (SG) has become hot research topic with development technologies, such as IoT, edge computing, artificial intelligence, big data, 5G, so on. The efficiency SG will be increased by smart embedded devices that have intelligent decision-making ability. Various types sensors data sources collect high...

Grid computing is a form of distributed computing that involves coordinating and sharing computational power, data storage and network resources across dynamic and geographically dispersed organizations. Scheduling onto the Grid is NP-complete, so there is no best scheduling algorithm for all grid computing systems. An alternative is to select an appropriate scheduling algorithm to use in a giv...

Ian Foster’s What is The Grid ? paper gives the generally accepted definition of Grid and Grid computing. While sound, it does not precisely define the involved concepts, which may lead to misunderstandings. We propose a tentative set of definitions for Grid, Grid computing and related concepts such as Virtual Organization, Grid resource sharing architectures and policies. Several design parame...

The goal of the European Data Grid Project is the development of a novel environment to support globally distributed scientific exploration involving multi-PetaByte datasets. The project will devise and develop middleware solutions and testbeds capable of scaling to handle many PetaBytes of distributed data, tens of thousands of resources (processors, disks, etc.), and thousands of simultaneous...

Computational grids that couple geographically distributed resources are becoming the de-facto computing platform for solving large-scale problems in science, engineering, and commerce. Software to enable grid computing has been primarily written for Unix-class operating systems, thus severely limiting the ability to effectively utilize the computing resources of the vast majority of desktop co...

Grid Computing refers to the development of high performance computing environment or virtual super computing environment by utilizing available computing resources in a LAN, WAN and Internet. This new emerging research field offers enormous opportunities for e-Science applications such as astrophysics, bioinformatics, aerospace modeling, cancer research etc. Grid involves coordinating and shar...

With the introduction of Napster in 1999, 18-year-old Shawn Fanning showed the world the power of peer-to-peer (P2P) computing. Even though Napster did not survive, P2P continued to live on and flourish. While the focus has been on the personal use of P2P computing, businesses have started to find ways to take advantage of the P2P model in their organizations. P2P proponents forecast that busin...

Virtual machines offer a lot of advantage such as easy configuration and management and can simplify the development and the deployment of Grid infrastructures. Various virtualization implementations despite have similar functions often provide different management and access interfaces. The heterogeneous virtualization technologies bring challenges for employing virtual machine as computing re...

In recent years, Grid computing has emerged as a promising alternative to increase the capacity of processing and storage, through integration and sharing of multi-institutional resources. MAG (Mobile Agents for Grid Computing Environments)is a research project that explores the mobile agent paradigm as a way to overcome the design and implementation challenges of developing a Grid middleware. ...

Grid computing is believed to be ultimate solution for meeting the increasing computation needs of organizations. At present the major focus is on load balancing in Grid computing in order to improve the performance of grid. However, the user running an application on a remote machine in the grid-computing network requires assurance about privacy and integrity of his data. Similarly the local h...