ABSTRACT. Data Grid is an infrastructure that manages huge amount of data files and provides intensive computational resources across geographically distributed collaboration. To increase resource availability and to ease resource sharing in such environment, there is a need for replication services. Data replication is one of the methods used to improve the performance of data access in distri...

Grid computing is fast emerging as the solution to the problems posed by the massive computational and data handling requirements of many current international scientific projects. Simulation of the Grid environment is important to evaluate the impact of potential data handling strategies before being deployed on the Grid. In this paper, we look at the effects of various job scheduling and data...

To provide performant access to data from high energy physics experiments such as the Large Hadron Collider (LHC), controlled replication of files among grid sites is required. Dynamic replication in response to jobs may also be useful, and has been investigated using the grid simulator OptorSim. In this paper, results from simulation of the LHC Computing Grid in 2008, in a physics analysis sce...

This paper reinvestigates the impact of social networking site use by employees on job performance by conducting a methodological replication of Moqbel, Nevo, and Kock (2013) using samples (N=139) from Pakistan. In both studies, social networking site use has significant effects on organizational commitment and job satisfaction, and job satisfaction also has a significant impact on job performa...

OBJECTIVES This study adds a multilevel perspective to the well-researched individual-level relationship between job resources and work engagement. In addition, we explored whether individual job resources cluster within work groups because of a shared psychosocial environment and investigated whether a resource-rich psychosocial work group environment is beneficial for employee engagement over...

In recent years, grid computing has emerged as one of the main computational platforms to perform many extremely difficult and/or time-consuming tasks. The amount of data generated every second is in fact sometimes much more than what can be processed even by dedicated grids. This makes the design of optimum solutions to efficiently balance and deploy existing systems one of the main objectives...

As the number of nodes in high-performance computing environments keeps increasing, faults are becoming common place causing losses in intermediate results of HPC jobs. Furthermore, storage systems providing job input data have been shown to consistently rank as the primary source of system failures leading to data unavailability and job resubmissions. This chapter presents transparent techniqu...

The data grid technology, which uses the scale of the Internet to solve storage limitation for the huge amount of data, has become one of the hot research topics. Recently, data replication strategies have been widely employed in distributed environment to copy frequently accessed data in suitable sites. The primary purposes are shortening distance of file transmission and achieving files from ...