Raw run archives for "Evolving Energy-Efficient Placement Policies for the Computing Continuum: Language Models versus Genetic Programming"

Raw outputs of the six studies in the paper "Evolving Energy-Efficient Placement Policies for the Computing Continuum: Language Models versus Genetic Programming", one tarball per study: per-candidate final-grid records, paired-run state, campaign manifests and event logs, LLM request/response journals, search archives and, for Study F, validation records. Code, frozen study registrations and analysis outputs are in the GitHub repository https://github.com/RodmarKun/EvolvingContinuum. Extract the archives at the root of a checkout to re-run the analysis scripts. README.md in this record lists the contents and explains how to use them. It also notes that approval fields in the registration receipts were edited for publication and their hashes recomputed. The Alibaba call-graph sample used by the repository's tests is published separately (see Related works). Funding: co-financed 85% by the European Union, the European Regional Development Fund and the Regional Government of Extremadura. Managing Authority: Ministry of Finance. Project File Number: IB24102. Grant File Number: GR24099. Project PID2024-155693NB-C41.