Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths for tasks, or probabilistic lengths with a stable distribution. Such an assumption results in significant difficulty in their application to real problems. In this work,  relax this hypothesis by assuming that the worst case execution number of cycles (WCEC) might be imprecisely known.  present several methods to react to such a situation.  provide simulation results attesting that with a small effort,  can provide very good results, allowing to keep a low deadline miss rate as ll as an energy consumption similar to clairvoyant algorithms. The main contribution of this work is to improve the robustness of low-por scheduling algorithms on DVFS (Dynamic Voltage and Frequency Scaling) frame-based platforms.
['Vandy Berten', 'Chi-Ju Chang', 'Tei-Wei Kuo']
I am writing a research paper on a idea Managing Imprecise Worst Case Execution Times on DVFS Platforms
[{"from": "human", "value": "I am writing a research paper on a idea Managing Imprecise Worst Case Execution Times on DVFS Platforms"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Although energy-efficient real-time task scheduling has attracted a lot of attention in the past decade, most existing results assumed deterministic execution lengths for tasks, or probabilistic lengths with a stable distribution. Such an assumption results in significant difficulty in their application to real problems. In this work,  relax this hypothesis by assuming that the worst case execution number of cycles (WCEC) might be imprecisely known.  present several methods to react to such a situation.  provide simulation results attesting that with a small effort,  can provide very good results, allowing to keep a low deadline miss rate as ll as an energy consumption similar to clairvoyant algorithms. The main contribution of this work is to improve the robustness of low-por scheduling algorithms on DVFS (Dynamic Voltage and Frequency Scaling) frame-based platforms."}]