Grids can be classified as computational grids, access grids and data grids. Computational grids address applications that deal with complex and time intensive computational problems, usually on relatively small datasets. Access grids focus on group-to-group communication. Whereas data grids address the needs of applications that deal with the evaluation and mining of large amounts of data in t...

Nuclear power plants (NPPs) have recently undergone rapid development in China. To improve the performance of both NPPs and grids during adverse conditions, a precise understanding of the coordination between NPPs and grids is required. Therefore, a new mathematical model with reasonable accuracy and reduced computational complexity is developed. This model is applicable to the short, mid, and ...

Article history: Received 2 May 2017 Received in revised form 6 June 2017 Accepted 12 June 2017 Available online 17 June 2017 Editor: A. Ringwald

Cascadic multigrid algorithms have been shown by a number of researchers (e.g., Bornemann, Deuflhard, Shaidurov, Shi, and many others) to be useful in a number of application areas. Cascadic multigrid differs from traditional one way multigrid methods by over solving the problem on coarse grids in order to reduce the required work on the finest grids. Since there is a geometric growth in the nu...

Grids in their current form of deployment and implementation have not been as successful as hoped in engendering distributed applications. Among other reasons, the level of detail that needs to be controlled for the successful development and deployment of applications remains too high. We argue that there is a need for higher levels of abstractions for current Grids. By introducing the relevan...

Thanks to vast improvements in wide-area network performance and powerful yet low-cost computers, Grid computing has emerged as a promising attractive computing paradigm. Computational Grids aim to aggregate the power of heterogeneous, geographically distributed, multiple-domain-spanning computational resources to provide high performance or high-throughput computing. To achieve the promising p...