Abstract

We recently proposed [5] an energy consumption model for analyzing and profiling energy usage that addresses resource utilization, data movement, and I/O operations. Although our model assembles several models (computing, networking and storage systems) validated in a real execution environment, it still makes strong assumptions on the resource characteristics (eg single core homogeneous virtual machines), and ignores external loads.
In this work, we propose 1) an extension of our energy consumption model to address real large-scale infrastructure conditions (eg heterogeneity, resource unavailability, external loads); 2) the validation of the model in a fully instrumented platform able to measure the actual temperature and energy consumed by computing, networking, and storage systems; and 3) a multi-objective optimization approach to explore tradeoffs among makespan, energy consumption, and reliability for multi-objective workflow scheduling.

Date

2014

Authors

R Ferreira Da Silva, Thomas Fahringer, Juan J Durillo, Ewa Deelman

Journal

Workshop on Modeling & Simulation of Systems and Applications