In many domains, the previous decade was characterized by increasing data volumes and
growing complexity of data analyses, creating new demands for batch processing on …

Load balancing is the process of redistributing the work load among nodes of the distributed
system to improve both resource utilization and job response time while also avoiding a …

We present a technique for deriving predictions for the run times of parallel applications from
the run times of “similar” applications that have executed in the past. The novel aspect of our …

In this paper a method for estimating task execution times is presented, in order to facilitate
dynamic scheduling in a heterogeneous metacomputing environment. Execution time is …

Scheduling algorithms that use application and system knowledge have been shown to be
more effective at scheduling parallel jobs on a multiprocessor than algorithms that do not …

Software systems are known to suffer from outages due to transient errors. Recently, the
phenomenon of" software aging", in which the state of the software system degrades with …

Statistics of a parallel workload on a 128-node iPSC/860 located at NASA Ames are
presented. It is shown that while the number of sequential jobs dominates the number of …

We present statistical techniques for predicting the queue times experienced by jobs
submitted to a space-sharing parallel machine with first-come-first-served (FCFS) …

In this paper we describe the design and implementation of a system called the Network
Weather Service (NWS) that takes periodic measurements of deliverable resource …

This paper describes and evaluates the application of three local learning algorithms-
nearest-neighbor, weighted-average, and locally-weighted polynomial regression-for the …