Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  describes a novel two-stage search technique which is intended to support the configuration of time-triggered schedulers for use with resource-constrained embedded systems which employ a single processor. Our overall goal is to identify a scheduler implementation which will ensure that: 1) all task constraints are met; 2) CPU por consumption is "as low as possible"; and 3) a fully cooperative scheduler architecture is employed whenever possible. Our search process is not exhaustive, and it might be described as "best characteristics first" approach.  proceed iteratively, stopping the search when  have identified the first workable solution.  assume that - because  have begun the search with "best characteristics" - any schedule identified will represent a good (but not necessarily completely optimal) solution.  show that the proposed configuration algorithm is highly effective.  also demonstrate that the algorithm has much lor complexity than alternative "branch and bound" search schemes.  conclude by making some suggestions for future work in this area.
['Ayman K. Gendy', 'Michael J. Pont']
I am writing a research paper on a idea Automatically Configuring Time-Triggered Schedulers for Use With Resource-Constrained, Single-Processor Embedded Systems
[{"from": "human", "value": "I am writing a research paper on a idea Automatically Configuring Time-Triggered Schedulers for Use With Resource-Constrained, Single-Processor 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:  describes a novel two-stage search technique which is intended to support the configuration of time-triggered schedulers for use with resource-constrained embedded systems which employ a single processor. Our overall goal is to identify a scheduler implementation which will ensure that: 1) all task constraints are met; 2) CPU por consumption is \"as low as possible\"; and 3) a fully cooperative scheduler architecture is employed whenever possible. Our search process is not exhaustive, and it might be described as \"best characteristics first\" approach.  proceed iteratively, stopping the search when  have identified the first workable solution.  assume that - because  have begun the search with \"best characteristics\" - any schedule identified will represent a good (but not necessarily completely optimal) solution.  show that the proposed configuration algorithm is highly effective.  also demonstrate that the algorithm has much lor complexity than alternative \"branch and bound\" search schemes.  conclude by making some suggestions for future work in this area."}]