弱硬实时应用要求调度算法必须确保提供满足其弱硬实时QoS(Quality of Service)参数要求的服务,一种新的能够提供(m,k)-firm保证的固定优先级调度算法被提出,该算法能够根据任务的周期以及所要求的QoS参数进行调度优先级的设定,并通过...弱硬实时应用要求调度算法必须确保提供满足其弱硬实时QoS(Quality of Service)参数要求的服务,一种新的能够提供(m,k)-firm保证的固定优先级调度算法被提出,该算法能够根据任务的周期以及所要求的QoS参数进行调度优先级的设定,并通过将任务设置为抢占和可选来反映其紧迫程度。文中给出该算法的可调度判定不等式,并且通过对经典任务集的调度结果,验证了算法的有效性和灵活性。展开更多
(m, k)-firm real-time or weakly hard real-time (WHRT) guarantee is becoming attractive as it closes the gap between hard and soft (or probabilistic) real-time guarantee, and enables finer granularity of real-time QoS ...(m, k)-firm real-time or weakly hard real-time (WHRT) guarantee is becoming attractive as it closes the gap between hard and soft (or probabilistic) real-time guarantee, and enables finer granularity of real-time QoS through adjusting m and k. For multiple streams with (m, k)-firm constraint sharing a single server, an on-line priority assignment policy based on the most recent k-length history of each stream called distance based priority (DBP) has been proposed to assign priority.In case of priority equality among these head-of-queue instances, Earliest Deadline First (EDF) is used. Under the context of WHRT schedule theory, DBP is the most popular, gets much attention and has many applications due to its straightforward priority assignment policy and easy implementation. However, DBP combined with EDF cannot always provide good performance, mainly because the initial DBP does not underline the rich information on deadline met/missed distribution,specially streams in various failure states which will travel different distances to restore success states. Considering how to effectively restore the success state of each individual stream from a failure state, an integrated DBP utilizing deadline met/missed distribution is proposed in this paper. Simulation results validated the performance improvement of this pro-posal.展开更多
基金the National Natural Science Foundation of China under Grant Nos.60603032,60604029(国家自然科学基金)the NSFC-Guangdong Province of China under Grant No.U0735003(国家自然科学基金委-广东省联合基金重点项目)
文摘针对当前弱硬实时调度算法无法保证超过窗口长度的执行序列的满足率达到一定比例的问题,基于(m^-,p)弱硬实时约束,提出了一种基于裁剪的调度算法(cut-down based scheduling,简称CDBS).由于判断(m^-,p)约束是否满足需要遍历任务的整个执行序列,因此判断复杂度很大.为此,提出一种高效的裁剪执行序列的算法,同时证明其正确性,并利用适当的数据结构,使得计算复杂度与序列长度无关,通过实验说明其降低计算复杂度的有效性.进一步与其他经典实时调度算法(EDF(earliest deadline first),DBP(distance-based priority),DWCS(dynamic window constraint schedule))进行比较,验证该算法与其他算法具有相当的性能.
文摘弱硬实时应用要求调度算法必须确保提供满足其弱硬实时QoS(Quality of Service)参数要求的服务,一种新的能够提供(m,k)-firm保证的固定优先级调度算法被提出,该算法能够根据任务的周期以及所要求的QoS参数进行调度优先级的设定,并通过将任务设置为抢占和可选来反映其紧迫程度。文中给出该算法的可调度判定不等式,并且通过对经典任务集的调度结果,验证了算法的有效性和灵活性。
基金Project supported by the National Natural Science Foundation of
China (No. 60203030) and Advanced Research Program of France-
China (Nos. PRA SI01-04 PRA SI03-02)
文摘(m, k)-firm real-time or weakly hard real-time (WHRT) guarantee is becoming attractive as it closes the gap between hard and soft (or probabilistic) real-time guarantee, and enables finer granularity of real-time QoS through adjusting m and k. For multiple streams with (m, k)-firm constraint sharing a single server, an on-line priority assignment policy based on the most recent k-length history of each stream called distance based priority (DBP) has been proposed to assign priority.In case of priority equality among these head-of-queue instances, Earliest Deadline First (EDF) is used. Under the context of WHRT schedule theory, DBP is the most popular, gets much attention and has many applications due to its straightforward priority assignment policy and easy implementation. However, DBP combined with EDF cannot always provide good performance, mainly because the initial DBP does not underline the rich information on deadline met/missed distribution,specially streams in various failure states which will travel different distances to restore success states. Considering how to effectively restore the success state of each individual stream from a failure state, an integrated DBP utilizing deadline met/missed distribution is proposed in this paper. Simulation results validated the performance improvement of this pro-posal.
