Educated Energy Efficiency Optimization of Distributed Software: Measure, Monitor, Mitigate
As distributed systems scale, optimizing energy efficiency becomes increasingly critical yet challenging. This paper introduces a continuous process for improving energy efficiency that leverages three iterative steps — measure, monitor, and mitigate — forming a feedback loop. Utilizing state-of-the-art tools and best practices, we empirically demonstrate targeted optimizations. Our experiments highlight common pitfalls as well as the expected optimization opportunities and offer practical guidance for avoiding them. Our experiments reveal common pitfalls and highlight expected optimization opportunities, providing practical guidance in using our process. Additionally, we present an extensible monitoring platform designed to collect, analyze, and visualize energy consumption and performance metrics, facilitating the selection of informed optimization techniques. This approach is tailored for engineers and researchers seeking efficient and adaptable energy efficiency optimization strategies. By implementing this structured process, significant improvements in energy efficiency can be achieved, maximizing optimization impact relative to invested resources while maintaining system performance and reliability.
Tue 29 AprDisplayed time zone: Eastern Time (US & Canada) change
09:00 - 10:30 | Session 1: Workshop opening and Pitch Session 1 (7-minute pitch of each paper and 3-minute question/comment)GREENS at 203 Chair(s): Luís Cruz TU Delft, Elisa Yumi Nakagawa University of São Paulo | ||
09:00 15mTalk | Opening GREENS | ||
09:15 10mTalk | Assessment of Embedded AI Solutions with the Green Software Measurement Model GREENS Christoph Bockisch Philipps-Universität Marburg, Hartmut Weber TH Mittelhessen – University of Applied Sciences, Dennis M. Pöpperl Technische Hochschule Mittelhessen–University of Applied Sciences, Severin Stahl TH Mittelhessen – University of Applied Sciences | ||
09:25 10mTalk | Automatically Assessing Software Architecture Compliance With Green Software Patterns GREENS Naman Ahuja University College London, Yile Feng University College London, Luming Li University College London, Amisha Malik University College London, Thuvaragan Sivayoganathan University College London, Navveen Balani Accenture, Srinivasan Rakhunathan Microsoft, Federica Sarro University College London | ||
09:35 10mTalk | Educated Energy Efficiency Optimization of Distributed Software: Measure, Monitor, Mitigate GREENS Tobias Leonhard Joschka Peslalz Munich University of Applied Sciences, Bastian Katz Munich University of Applied Sciences | ||
09:45 10mTalk | Green AI: Which Programming Language Consumes the Most? GREENS Niccolò Marini University of Florence, Leonardo Pampaloni University of Florence, Filippo Di Martino University of Florence, Roberto Verdecchia University of Florence, Enrico Vicario University of Florence Pre-print | ||
09:55 10mTalk | On the Energy Consumption of Web Applications: An Empirical Study of their Design Solutions GREENS Louay Khrouf Berger-Levault, Anas Shatnawi University of Milano-Bicocca, Boubou Thiam Niang Berger-Levault, Benoit Verhaeghe Berger-Levrault | ||
10:05 10mTalk | Specification Completion for Sustainable Software Development via Sustainability-Driven Mining GREENS Mohamed Toufik Ailane Siemens Foundational Technologies, Siemens AG, Carolin Rubner Siemens Foundational Technologies, Siemens AG, Andreas Rausch Clausthal University of Technology | ||
10:15 15mOther | Final session question/comment filling and posting (via Miro) GREENS |