{"ID":2858976,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2510.07449","arxiv_id":"2510.07449","title":"How long can you sleep? Idle Time System Inefficiencies and Opportunities","abstract":"This work introduces a model-based framework that reveals the idle opportunity of modern servers running latency-critical applications. Specifically, three queuing models, M/M/1, cxM/M/1, and M/M/c, are used to estimate the theoretical idle time distribution at the CPU core and system (package) level. A comparison of the actual idleness of a real server and that from the theoretical models reveals significant missed opportunities to enter deep idle states. This inefficiency is attributed to the idle-governor inaccuracy and the high latency to transition to/from legacy deep-idle states. The proposed methodology offers the means for an early-stage design exploration and insights into idle time behavior and opportunities for varying server system configurations and load.","short_abstract":"This work introduces a model-based framework that reveals the idle opportunity of modern servers running latency-critical applications. Specifically, three queuing models, M/M/1, cxM/M/1, and M/M/c, are used to estimate the theoretical idle time distribution at the CPU core and system (package) level. A comparison of t...","url_abs":"https://arxiv.org/abs/2510.07449","url_pdf":"https://arxiv.org/pdf/2510.07449v1","authors":"[\"Georgia Antoniou\",\"Haris Volos\",\"Jawad Haj Yahya\",\"Yiannakis Sazeides\"]","published":"2025-10-08T18:52:50Z","proceeding":"cs.AR","tasks":"[\"cs.AR\"]","methods":"[\"LoRA\"]","has_code":false}