In this paper the problem of making predictions of incoming tasks response times in a cluster node is focused. These predictions have a significant effect in areas such as dynamic load balancing, scalability analysis or parallel systems modelling. This paper presents two new response time prediction models. The first one is a mixed model based on two widely used models, CPU availability and Round Robin models. The second one, called Response Time Prediction (RTP) model, is a completely new model based on a detailed study of different kinds of tasks and their CPU time consuming. The predictive power of these models is evaluated by running a large set of tests and the predictions obtained with the RTP model exhibit an error of less than 2 % in all these experiments. © Springer-Verlag Berlin Heidelberg 2004.
CITATION STYLE
Beltrán, M., & Bosque, J. L. (2004). Predicting the response time of a new task on a beowulf cluster. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3019, 145–152. https://doi.org/10.1007/978-3-540-24669-5_19
Mendeley helps you to discover research relevant for your work.