Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Computing systems, ranging from small battery-operated embedded systems to more complex general purpose systems, are designed to satisfy various computation demands in some acceptable time. In doing so, the system is responsible for scheduling jobs/requests in a dynamic fashion. In addition, with por consumption recently becoming a critical issue, most systems are also responsible for their own por management. In some rare cases, the exact arrival time and execution time of jobs/requests is known, leading to precise scheduling algorithms and por management schemes. Hover, more often than not, there is no a-priori knowledge of the workload. This work evaluates dynamic voltage scaling (DVS) policies for por management in systems with unpredictable workloads. A clear winner is identified, a policy that reduces the energy consumption one order of magnitude compared to no por management and up to 40% (in real-life traces) and 50% (in synthetic workloads) compared to the second-best evaluated scheme.
['Cosmin Rusu', 'Ruibin Xu', 'Rami G. Melhem', 'Daniel Mossé']
I am writing a research paper on a idea Energy-efficient policies for request-driven soft real-time systems
[{"from": "human", "value": "I am writing a research paper on a idea Energy-efficient policies for request-driven soft real-time systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Computing systems, ranging from small battery-operated embedded systems to more complex general purpose systems, are designed to satisfy various computation demands in some acceptable time. In doing so, the system is responsible for scheduling jobs/requests in a dynamic fashion. In addition, with por consumption recently becoming a critical issue, most systems are also responsible for their own por management. In some rare cases, the exact arrival time and execution time of jobs/requests is known, leading to precise scheduling algorithms and por management schemes. Hover, more often than not, there is no a-priori knowledge of the workload. This work evaluates dynamic voltage scaling (DVS) policies for por management in systems with unpredictable workloads. A clear winner is identified, a policy that reduces the energy consumption one order of magnitude compared to no por management and up to 40% (in real-life traces) and 50% (in synthetic workloads) compared to the second-best evaluated scheme."}]