This paper demonstrates a first-order, linear power estimation model ha uses performance
counters to estimate run-time CPU and memory power consumption of the Intel PXA255 …

Dynamic binary instrumentation (DBI) is a powerful technique for analyzing the runtime
behavior of software. While numerous DBI frameworks have been developed for general …

Resource-constrained devices for embedded systems are becoming increasingly important.
In such systems, memory is highly restrictive, making code size in most cases even more …

This paper introduces a novel approach to battery management. In contrast to state-of-the-
art solutions where a central Battery Management System (BMS) exists, we propose an …

Function merging is an important optimization for reducing code size. It merges multiple
functions into a single one, eliminating duplicate code among them. The existing state-of-the …

Binary code size is a first-class design consideration in many computing domains and a
critical factor in many more, but compiler optimizations targeting code size are few and often …

Resource-constrained environments, such as embedded devices, have limited amounts of
memory and storage. Practical programming languages such as C++ and Rust tend to …

The interest in translation-based virtual execution environments (VEEs) is growing with the
recognition of their importance in a variety of applications. However, due to constrained …

Virtual machines executing high level languages are nowadays found even in small secure
embedded systems. We have studied properties of the Java virtual machine and the Java …

While JAVA has become a de facto standard for mobile code and distributed programming, it
is still a rigid and closed execution environment. Not only does this lack of flexibility severely …