Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent results have shown that the feasibility problem of scheduling periodic tasks with self-suspensions is NP-hardin the strong sense.  observe that a variation of the problem statement that includes sporadic tasks instead ofperiodic tasks results in a simple characterization of the critical scheduling instant. This in turn leads to an exact characterization of the critical instant for self-suspending tasks with respect to the interference (preemption) from higher-priority sporadic tasks. Using this characterization,  provide pseudo-polynomial response-time tests for analyzing the schedulability of suchself-suspending tasks. Self-suspending tasks can also result in more worst-case interference to lor-priority tasks than their equivalent non-suspending counterparts with zero suspension intervals. Hence,  develop a dynamic slack enforcement scheme, which guarantees that the worst-case interference caused by suspending sporadic tasks is no more than the worst-case interference arising from equivalent non-suspending sporadic tasks without suspension intervals. The worst-case response time of self-suspending sporadic tasks themselves is also shown to be unaffected by dynamic slack enforcement, thereby making it optimal. In order to reduce the runtime complexity of slack enforcement, a static slack enforcement scheme is also developed. Empirical analysis of these schemes and the previously studied period enforcement algorithm shows that static slack enforcement achieves within 3% of the breakdown utilization of dynamic slack enforcement, while period enforcement achieves within 14% of dynamic slack enforcement. System designers can take advantage of these different execution control policies depending on their taskset utilizations and implementation constraints.
['Karthik Lakshmanan', 'Ragunathan Rajkumar']
I am writing a research paper on a idea Scheduling Self-Suspending Real-Time Tasks with Rate-Monotonic Priorities
[{"from": "human", "value": "I am writing a research paper on a idea Scheduling Self-Suspending Real-Time Tasks with Rate-Monotonic Priorities"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Recent results have shown that the feasibility problem of scheduling periodic tasks with self-suspensions is NP-hardin the strong sense.  observe that a variation of the problem statement that includes sporadic tasks instead ofperiodic tasks results in a simple characterization of the critical scheduling instant. This in turn leads to an exact characterization of the critical instant for self-suspending tasks with respect to the interference (preemption) from higher-priority sporadic tasks. Using this characterization,  provide pseudo-polynomial response-time tests for analyzing the schedulability of suchself-suspending tasks. Self-suspending tasks can also result in more worst-case interference to lor-priority tasks than their equivalent non-suspending counterparts with zero suspension intervals. Hence,  develop a dynamic slack enforcement scheme, which guarantees that the worst-case interference caused by suspending sporadic tasks is no more than the worst-case interference arising from equivalent non-suspending sporadic tasks without suspension intervals. The worst-case response time of self-suspending sporadic tasks themselves is also shown to be unaffected by dynamic slack enforcement, thereby making it optimal. In order to reduce the runtime complexity of slack enforcement, a static slack enforcement scheme is also developed. Empirical analysis of these schemes and the previously studied period enforcement algorithm shows that static slack enforcement achieves within 3% of the breakdown utilization of dynamic slack enforcement, while period enforcement achieves within 14% of dynamic slack enforcement. System designers can take advantage of these different execution control policies depending on their taskset utilizations and implementation constraints."}]