to use services transparently in a distributed environment, the utility grids develop a cyber-infrastructure. the parameters of the quality of service such as the allocation-cost and makespan have to be dealt with in order to schedule workflow application tasks in the utility grids. optimization of both target parameters above is a challenge in a distributed environment and may conflict one ano...

 To use services transparently in a distributed environment, the Utility Grids develop a cyber-infrastructure. The parameters of the Quality of Service such as the allocation-cost and makespan have to be dealt with in order to schedule workflow application tasks in the Utility Grids. Optimization of both target parameters above is a challenge in a distributed environment and may conflict one an...

existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. according to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amou...

existed electricity grids deliver produced power to the consumer passing through transmission and distribution grids. According to high losses of these grids in transmission level and inexistence of bilateral interaction for simultaneous information exchange, a concept of smart grids were made by capabilities such as consciously participation of consumers in the smart electricity grids, an amou...

This chapter focuses on the use of Grid technologies to achieve utility computing. An overview of how Grids can support utility computing is first presented through the architecture of Utility Grids. Then, utility-based resource allocation is described in detail at each level of the architecture. Finally, some industrial solutions for utility computing are discussed.

Grid computing aggregates the power of widely distributed resources and provides non-trivial services to the users. Resource management and scheduling play a crucial role in Grid computing environment. It becomes more challenging in Utility Grids, where consumer wants to pay minimum amount and providers want to earn maximum amount. Many existing scheduling approaches are dedicated to either sin...

ABSTRACT: Installation of many distributed generations (DGs) could be detrimental to the power quality of utility grids. Micro grids facilitate effortless installation of DGs in conventional power systems. In recent years, DC microgrid have gained popularity because DC output sources such as photovoltaic systems, fuel cells, and batteries can be interconnected without ac/dc conversion, which co...

Emerging large scale utility computing systems such as Grids promise computing and storage to be provided to end users as a utility. System management services deployed in the middleware are a key to enabling this vision. Utility Grids provide a challenge in terms of scale, dynamism, and heterogeneity of resources and workloads. In this paper, we present a model based architecture for resource ...

data grids support access to widely distributed storage for large numbers of users accessing potentially many files. to enhance access time, replication at nearby sites may be used. data replication, a technique much investigated bydata grid researchers in past years creates multiple replicas offile and places them in conventional locations to shorten fileaccess times. one of the problems in da...

Flow visualization tools based on particle methods continue to be an important utility of ow simulation. Additionally, sparse grids are of increasing interest in numerical simulations. In 13] we presented the advantages of particle tracing on uniform sparse grids. Here we present and compare two diierent approaches to accelerate particle tracing on sparse grids. Furthermore, a new approach is p...