Titlebook: Job Scheduling Strategies for Parallel Processing; 11th International W Dror Feitelson,Eitan Frachtenberg,Uwe Schwiegelsho Conference proce

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書目名稱Job Scheduling Strategies for Parallel Processing讀者反饋學(xué)科排名

認(rèn)為

Workload Analysis of a Cluster in a Grid Environment,h an environment the problems of fair resource sharing and best usage arise. In this paper, the analysis of the LPC cluster usage (Laboratoire de Physique Corpusculaire, Clermont-Ferrand, France) in the EGEE Grid environment is done, and from the results a model for job arrival is proposed.

HAWK

,ScoPred–Scalable User-Directed Performance Prediction Using Complexity Modeling and Historical Datauling techniques such as adaptive resource allocation, and toward the expansion of scheduling to grids, make runtime predictions even more important. We present a technique of employing both a user’s knowledge of his/her parallel application and historical application-run data, synthesizing them to

技術(shù)

infatuation

愛(ài)國(guó)者

monopoly

Co-scheduling with User-Settable Reservations,nagement and scheduling decisions for these resources is similar to making travel arrangements: guesses are made and then remade or confirmed depending on the availability of resources. This “Travel Agent Method” serves as the basis for a production scheduler and metascheduler suitable for making tr

notice

Scheduling Moldable BSP Tasks,cs of BSP tasks, which can use fewer processors than the original required, but with a particular cost model. We discuss the problem of scheduling a batch of BSP tasks on a fixed number of computers. The objective is to minimize the completion time of the last task (.). We show that the problem is d

Oration

楓樹(shù)

Wave Scheduler: Scheduling for Faster Turnaround Time in Peer-Based Desktop Grid Systems,n of harvesting idle cycles under a peer-to-peer model. The problem we address in this paper is the development of scheduling strategies to achieve faster turnaround time in an open peer-based desktop grid system. The challenges for this problem are two-fold: How does the scheduler quickly discover