Despite recent increase in research on improvement of non-functional properties of
software, such as energy usage or program size, there is a lack of standard benchmarks for …

Energy requirements for datacenters are growing at a fast pace. Existing techniques for
making datacenters efficient focus on hardware. However, the gain in energy efficiency that …

Software systems increasingly expose performance-sensitive configuration parameters, or
PerfConfs, to users. Unfortunately, the right settings of these PerfConfs are difficult to decide …

Adaptive computing systems automatically monitor their behavior and dynamically adjust
their own configuration parameters—or knobs—to ensure that user goals are met despite …

Energy accounting is a fundamental problem in energy management, defined as attributing
global energy consumption to individual components of interest. In this paper, we take on …

Adaptive sampling is a powerful family of algorithms for managing energy consumption on
low-power sensors. These algorithms use captured measurements to control the sensor's …

Low-battery anxiety has emerged as a result of growing dependence on mobile devices,
where the anxiety arises when the battery level runs low. While battery life can be extended …

Background: APIs that implement I/O operations are the building blocks of many well-known,
non-trivial software systems. These APIs are used for a great variety of programming tasks …

In this paper, we show the energy efficiency of Java applications can be improved by
applying Dynamic Voltage and Frequency Scaling (DVFS) inside the Java Virtual Machine …

Developing energy-aware applications is a well known approach to software-based energy
optimization. This promising approach is however faced with a significant hurdle when …