Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and frequency of the CPU, has become a ll studied technique. It has been shown that if a task's computational requirement is only known probabilistically, there is no constant optimal speed for the task and the expected energy consumption is minimized by gradually increasing speed as the task progresses citelorchsmith. It is possible to find the optimal speed schedule if  assume continuous speed and a ll defined por function, which are assumptions that do not hold in practice. ,  study the problem from a practical point of view, that is,  study the case of discrete speeds and make no restriction on the form of the por functions. Furthermore,  take into account processor idle por and speed change overhead, which re ignored in previous similar studies.  present a fully polynomial time approximation scheme (FPTAS), which has performance guarantees and usually obtains solutions very close to the optimal solution in practice. Our evaluation shows that our algorithm performs very ll and generally obtains solutions within 0.1.
['Ruibin Xu', 'Chenhai Xi', 'Rami G. Melhem', 'Daniel Moss']
I am writing a research paper on a idea Practical PACE for embedded systems
[{"from": "human", "value": "I am writing a research paper on a idea Practical PACE 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: In current embedded systems, one of the major concerns is energy conservation. The dynamic voltage-scheduling (DVS) framework, which involves dynamically adjusting the voltage and frequency of the CPU, has become a ll studied technique. It has been shown that if a task's computational requirement is only known probabilistically, there is no constant optimal speed for the task and the expected energy consumption is minimized by gradually increasing speed as the task progresses citelorchsmith. It is possible to find the optimal speed schedule if  assume continuous speed and a ll defined por function, which are assumptions that do not hold in practice. ,  study the problem from a practical point of view, that is,  study the case of discrete speeds and make no restriction on the form of the por functions. Furthermore,  take into account processor idle por and speed change overhead, which re ignored in previous similar studies.  present a fully polynomial time approximation scheme (FPTAS), which has performance guarantees and usually obtains solutions very close to the optimal solution in practice. Our evaluation shows that our algorithm performs very ll and generally obtains solutions within 0.1."}]