Quantifying the energy consumption of a pocket computer and a Java virtual machine
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Symbolic execution and program testing
Communications of the ACM
JouleTrack: a web based tool for software energy profiling
Proceedings of the 38th annual Design Automation Conference
MicroC/OS-II: the real-time kernel
MicroC/OS-II: the real-time kernel
Impact of Data Compression on Energy Consumption of Wireless-Networked Handheld Devices
ICDCS '03 Proceedings of the 23rd International Conference on Distributed Computing Systems
Energy consumption of TCP in ad hoc networks
Wireless Networks
Energy macromodeling of embedded operating systems
ACM Transactions on Embedded Computing Systems (TECS)
An energy consumption framework for distributed java-based systems
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering
Estimating the Energy Consumption in Pervasive Java-Based Systems
PERCOM '08 Proceedings of the 2008 Sixth Annual IEEE International Conference on Pervasive Computing and Communications
Prediction of energy consumption behavior in component-based distributed systems
Prediction of energy consumption behavior in component-based distributed systems
Generalized symbolic execution for model checking and testing
TACAS'03 Proceedings of the 9th international conference on Tools and algorithms for the construction and analysis of systems
Taming uncertainty in self-adaptive software
Proceedings of the 19th ACM SIGSOFT symposium and the 13th European conference on Foundations of software engineering
Information and Software Technology
Scaling symbolic execution using ranged analysis
Proceedings of the ACM international conference on Object oriented programming systems languages and applications
Calculating source line level energy information for Android applications
Proceedings of the 2013 International Symposium on Software Testing and Analysis
Estimating mobile application energy consumption using program analysis
Proceedings of the 2013 International Conference on Software Engineering
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Efficiency with respect to energy consumption has increasingly been recognized as an important quality attribute for distributed software systems in embedded and pervasive environments. In this paper we present a framework for estimating the energy consumption of distributed software systems implemented in Java. 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 explic itly takes a component-based perspective, which renders it well suited for a large class of today's distributed, embedded, and pervasive applications. The framework allows the engineer to estimate the distributed system's energy consumption at sys tem 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 actual energy consump tion incurred by executing the software. Our work to date has also highlighted the framework's practical applications and a number of possible enhancements.