Abstract
Piranha is a execution model for Linda4 developed at Yale(1) to reclaim idle cycles from networked workstations for use in executing parallel programs. Piranha has proven to be an effective system for harnessing large amounts of computing power. Most Piranha research to this point has concentrated on efficiently executing a single application at a time. In this paper we evaluate strategies for scheduling multiple Piranha applications. We examine methods for predicting idle periods and the effectiveness of scheduling strategies that make use of these predictions. We present a prototype scheduler for the Piranha system implemented using the process trellis software architecture for networks of workstations.
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