An Energy Consumption Framework for Distributed Java-Based Software Systems

An Energy Consumption Framework for Distributed Java-Based Software Systems (Poster)
Student: Chiyoung Seo, USC/ISR
Advisor: Nenad Medvidovic, USC/ISR
Abstract: We define and evaluate a framework for estimating the energy consumption of Java-based software systems. Our primary objective in devising the framework is to enable an engineer to make informed decisions when adapting a system’s architecture, such that the energy consumption on hardware devices with a finite battery life is reduced, and the lifetime of the system’s key software services increases. Our framework explicitly takes a component-based perspective, which renders it well suited for a large class of today’s distributed, dynamic, and mobile applications. The framework allows the engineer to estimate the software system’s energy consumption at construction time and refine it at runtime. In a large number of distributed application scenarios, the framework showed very good precision on the whole, giving results that were within 5% (and often less) of the actually measured power losses incurred by executing the software. While our empirical evidence suggests that the framework is broadly applicable as-is, our work to date has highlighted a number of future enhancements.

Bio: Chiyoung Seo received the MS degree in Computer Science from Seoul National University in 2002, and the BS degree from Chungnam National University in 2000. He is currently an Ph.D. student in the Computer Science Department at USC. His main research areas are in energy-aware ubiquitous computing, adaptive middleware and software system in resource constraint environment, and distributed systems.