A simulation framework for code-level energy estimation of embedded soft-core processors

Performance evaluation of thread pool configurations in the run-time systems of integration platforms

“…Ágnes Bogárdi-Mészöly and Rövid [9] proposed mathematical models, in the form of di↵erence equations by subspace identification, to simulate the behaviour of thread pools and queued requests to predict the performance of web-based software systems. Pasha et al [31] presented a simulation framework for code-level energy estimation. The framework has an instruction-level power estimator module that estimates the average power consumption of individual machine instructions simulated using gate-level netlists of the target processors.…”

“…Braun and Krus [11] Power systems Load balancing and synchronisation Ágnes Bogárdi-Mészöly and Rövid [9] Software system Prediction performance Pasha et al [31] Power systems Prediction of power consumption Ahmad et al [1] Software system Prediction performance Altmann et al [3] Software system Interoperability Bahadur et al [4] Distributed system Load balancing Tarvo and Reiss [38] Software system Prediction performance Jeon and Jung [25] IoT networks Increase the performance Stetsenko and Dyfuchyna [36] Software system Prediction performance. Casini et al [12] Software system Evaluation of schedulability Berned et al [6] Software system Energy consumption [Our proposal] EAI Evaluation of performance…”