An open source batch-queuing and workload management system. Grid Engine is typically used on a compute farm or compute cluster and is responsible for accepting, scheduling, dispatching, and managing the remote execution of large numbers of standalone, parallel or interactive user jobs. It also manages and schedules the allocation of distributed resources such as processors, memory, disk space, and software licenses.
Published in Chapter:
Porting Applications to Grids
Wolfgang Gentzsch (EU Project DEISA and Board of Directors of the Open Grid Forum, Germany)
Copyright: © 2010
|Pages: 27
DOI: 10.4018/978-1-60566-661-7.ch004
Abstract
Aim of this chapter is to guide developers and users through the most important stages of implementing software applications on Grid infrastructures, and to discuss important challenges and potential solutions. Those challenges come from the underlying grid infrastructure, like security, resource management, and information services; the application data, data management, and the structure, volume, and location of the data; and the application architecture, monolithic or workflow, serial or parallel. As a case study, the author presents the DEISA Distributed European Infrastructure for Supercomputing Applications and describes its DEISA Extreme Computing Initiative DECI for porting and running scientific grand challenge applications. The chapter concludes with an outlook on Compute Clouds, and suggests ten rules of building a sustainable grid as a prerequisite for long-term sustainability of the grid applications.