This paper investigates scheduling loosely coupled task-bundles in highly heterogeneous distributed systems. Two allocation quality metrics are used in pay-per-service distributed ...
Abstract. In this paper, we address job scheduling in Distributed Computing Infrastructures, that is a loosely coupled network of autonomous acting High Performance Computing syste...
—The application and research area of Multimedia Content Analysis (MMCA) considers all aspects of the automated extraction of new knowledge from large multimedia data streams and...
R. Yang, Robert D. van der Mei, D. Roubos, Frank J...
Scheduling tasks on large-scale computational grids is difficult due to the heterogeneous computational capabilities of the resources, node unavailability and unreliable network ...
In this work, we present a robust sensor fusion system for exploratory data collection, exploiting the spatial redundancy in sensor networks. Unlike prior work, our system design c...