Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Display Omitted  predict por consumption of embedded systems to extend their service time.A cloud model is proposed.A por-aware scheduling organizes system calls into DAGs. Por efficiency is a crucial issue for embedded systems, and effective por profiling and prediction tools are in high demand.  presents a cloud-based por profiling (CPP) tool for recording system calls and their associated parameters to predict hardware por consumption when running target applications. Based on hardware por consumption and system profiling from the operating system (OS) kernel, the proposed network model can effectively summarize running behavior of the target applications and the relationship among system calls. This model is also used to develop an energy efficient cluster scheduling for user-inactive processes to reduce the por consumption and extend the service time of embedded systems. These profiling data can be integrated into a cloud model to be maintained by software designers or OS developers to accommodate por estimation and scheduling data for a variety of platforms.
['Da-Ren Chen', 'Kai-Feng Chiang']
I am writing a research paper on a idea Cloud-based power estimation and power-aware scheduling for embedded systems
[{"from": "human", "value": "I am writing a research paper on a idea Cloud-based power estimation and power-aware scheduling for embedded systems"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Display Omitted  predict por consumption of embedded systems to extend their service time.A cloud model is proposed.A por-aware scheduling organizes system calls into DAGs. Por efficiency is a crucial issue for embedded systems, and effective por profiling and prediction tools are in high demand.  presents a cloud-based por profiling (CPP) tool for recording system calls and their associated parameters to predict hardware por consumption when running target applications. Based on hardware por consumption and system profiling from the operating system (OS) kernel, the proposed network model can effectively summarize running behavior of the target applications and the relationship among system calls. This model is also used to develop an energy efficient cluster scheduling for user-inactive processes to reduce the por consumption and extend the service time of embedded systems. These profiling data can be integrated into a cloud model to be maintained by software designers or OS developers to accommodate por estimation and scheduling data for a variety of platforms."}]