Titlebook: Life Cycle Investing and Occupational Old-Age Provision in Switzerland; Florian Zainhofer Book 2008 Gabler Verlag | Springer Fachmedien Wi

Trabeculoplasty

time. This allows to react on changing characteristics of the waiting jobs. In this paper we present enhancements to the decision process of the self-tuning . scheduler and evaluate their impact on the performance: (i) While doing a self-tuning step a performance metric is needed for ranking the sc

BANAL

stem at the University of Texas, the extensive data facilities at SDSC, and the physics experiments at ORNL. As research efforts become more extensive in scope, the co-scheduling of multiple resources becomes an essential part of scientific progress. This can be at odds with the traditional manageme

sinoatrial-node

n. Because these machines are typically “space-shared,” each job must wait in a queue until sufficient processor resources become available to service it. In production computing settings, the queuing delay (experienced by users as the time between when the job is submitted and when it begins execut

Rct393

erent users of the system. For example, the user who so far consumed small amount of CPU time gets higher priority and vice versa. The problem with such a solution is that it does not reflect other consumed resources like RAM, HDD storage capacity or GPU cores. Clearly, different users may have high

Armory

ient load balancing challenging. In an environment where jobs are submitted regularly into a grid which is already executing several jobs, it becomes important to provide low job turn-around times and high throughput for the users. Typically, the grids employ a First Come First Serve (FCFS) method o

PRO

quantities of streaming data, . is a large-scale, distributed stream processing system designed to handle complex applications. The problem of scheduling in distributed, stream-based systems is quite unlike that in more traditional systems. And the requirements for ., in particular, are more string

receptors

As shown in our earlier work, spreading out applications over as many nodes as possible or letting different applications with potentially complementary characteristics (semi time) share each node by allocating different cores to them may provide better performance. In the latter case, groups of jo

perjury

expdient

monochromatic

en Downey, Eitan Frachtenberg, Wolfgang Gentzsch, Allan Gottlieb, Moe Jette, Richard Lagerstrom, Virginia Lo, Reagan Moore, Bill Nitzberg, Mark Squillante, and John Towns, for an excellent job. Thanks are also due to the authors for their submissions, presentations, and final revisions for this volu