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Tardiness bounds under global edf scheduling on a multiprocessor
 In RTSS ’05: Proceedings of the 26th IEEE International RealTime Systems Symposium
, 2005
"... This paper considers the scheduling of soft realtime sporadic task systems under global EDF on an identical multiprocessor. Though Pfair scheduling is theoretically optimal for hard realtime task systems on multiprocessors, it can incur signicant runtime overhead. Hence, other scheduling algorit ..."
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Cited by 63 (37 self)
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This paper considers the scheduling of soft realtime sporadic task systems under global EDF on an identical multiprocessor. Though Pfair scheduling is theoretically optimal for hard realtime task systems on multiprocessors, it can incur signicant runtime overhead. Hence, other scheduling algorithms that are not optimal, including EDF, have continued to receive considerable attention. However, prior research on such algorithms has focussed mostly on hard realtime systems, where, to ensure that all deadlines are met, approximately 50 % of the available processing capacity will have to be sacriced in the worst case. This may be overkill for soft realtime systems that can tolerate deadline misses by bounded amounts (i.e., bounded tardiness). In this paper, we derive tardiness bounds under preemptive and nonpreemptive global EDF on multiprocessors when the total utilization of a task system is not restricted and may equal the number of processors. Our tardiness bounds depend on pertask utilizations and execution costs the lower these values, the lower the tardiness bounds. As a nal remark, we note that global EDF may be superior to partitioned EDF for multiprocessorbased soft realtime systems in that the latter does not offer any scope to improve system utilization even if bounded tardiness can be tolerated. ¤Work supported by NSF grants CCR 0204312, CCR 0309825, and CCR 0408996. The rst author was also supported by an IBM Ph.D. fellowship.
QoS Guarantee Using Probabilistic Deadlines
 IN PROCEEDINGS OF THE 11TH EUROMICRO CONFERENCE OF REALTIME SYSTEMS
, 1999
"... This paper presents a probabilistic approach to guarantee the performance of a realtime system. While traditional realtime system analysis tends to guarantee that each task instance will complete its execution before its absolute deadline (hard guarantee), our approach permits to estimate the prob ..."
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Cited by 48 (3 self)
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This paper presents a probabilistic approach to guarantee the performance of a realtime system. While traditional realtime system analysis tends to guarantee that each task instance will complete its execution before its absolute deadline (hard guarantee), our approach permits to estimate the probability that it will happen. Such a statistical guarantee is performed based on interarrival and execution times probability distributions, rather than their worst case values. The advantage of a probabilistic approach is a more efficient usage of system resources, allowing to give a certain level of deadline guarantee to task sets that the classical schedulability analysis would reject.
A Probabilistic Framework for Schedulability Analysis
 Proceedings of the Third International Conference on Embedded Software (EMSOFT 2003
, 2003
"... The limitations of the deterministic formulation of scheduling are outlined and a probabilistic approach is motivated. A number of models are reviewed with one being chosen as a basic framework. Responsetime analysis is extended to incorporate a probabilistic characterisation of task arrivals an ..."
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Cited by 33 (2 self)
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The limitations of the deterministic formulation of scheduling are outlined and a probabilistic approach is motivated. A number of models are reviewed with one being chosen as a basic framework. Responsetime analysis is extended to incorporate a probabilistic characterisation of task arrivals and execution times.
Schedulability Analysis of Applications with Stochastic Task Execution Times
 Trans. on Embedded Computing Sys
, 2004
"... In the past decade, the limitations of models considering fixed (worst case) task execution times have been acknowledged for large application classes within soft realtime systems. A more realistic model considers the tasks having varying execution times with given probability distributions. Consid ..."
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Cited by 29 (3 self)
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In the past decade, the limitations of models considering fixed (worst case) task execution times have been acknowledged for large application classes within soft realtime systems. A more realistic model considers the tasks having varying execution times with given probability distributions. Considering such a model with specified task execution time probability distribution functions, an important performance indicator of the system is the expected deadline miss ratio of the tasks and of the task graphs. This article presents an approach for obtaining this indicator in an analytic way. Our goal is to keep the analysis cost low, in terms of required analysis time and memory, while considering as general classes of target application models as possible. The following main assumptions have been made on the applications which are modelled as sets of task graphs: the tasks are periodic, the task execution times have given generalised probability distribution functions, the task execution deadlines are given and arbitrary, the scheduling policy can belong to practically any class of nonpreemptive scheduling policies, and a designer supplied maximum number of concurrent instantiations of the same task graph is tolerated in the system. Experiments show the efficiency of the proposed technique for monoprocessor systems.
Analyzing Stochastic FixedPriority RealTime Systems
 In Proceedings of the Fifth International Conference on Tools and Algorithms for the Construction and Analysis of Systems, Joint European Conferences on Theory and Practice of Software
, 1999
"... . Traditionally, realtime systems require that the deadlines of all jobs be met. For many applications, however, this is an overly stringent requirement. An occasional missed deadline may cause decreased performance but is nevertheless acceptable. We present an analysis technique by which a lower b ..."
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Cited by 27 (1 self)
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. Traditionally, realtime systems require that the deadlines of all jobs be met. For many applications, however, this is an overly stringent requirement. An occasional missed deadline may cause decreased performance but is nevertheless acceptable. We present an analysis technique by which a lower bound on the percentage of deadlines that a periodic task meets is determined and compare the lower bound with simulation results for an example system. We have implemented the technique in the PERTS realtime system prototyping environment [6, 7]. 1 Introduction A distinguishing characteristic of realtime computer systems is the requirement that the system meet its temporal constraints. While there are many different types of constraints, the most common form is expressed in terms of deadlines: a job completes its execution by its deadline. In a hard realtime system, all jobs must meet their deadlines and a missed deadline is treated as a fatal fault. Hence hard realtime systems are desi...
Probabilistic Analysis and Scheduling of Critical Soft RealTime Systems
, 1999
"... In addition to correctness requirements, a realtime system must also meet its temporal constraints, often expressed as deadlines. We call safety or mission critical realtime systems which may miss some deadlines critical soft realtime systems to distinguish them from hard realtime systems, where ..."
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Cited by 25 (0 self)
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In addition to correctness requirements, a realtime system must also meet its temporal constraints, often expressed as deadlines. We call safety or mission critical realtime systems which may miss some deadlines critical soft realtime systems to distinguish them from hard realtime systems, where all deadlines must be met, and from soft realtime systems which are not safety or mission critical. The performance of a critical soft realtime system is acceptable as long as the deadline miss rate is below an application specific threshold. Architectural features of computer systems, such as caches and branch prediction hardware, are designed to improve average performance. Deterministic realtime design and analysis approaches require that such features be disabled to increase predictability. Alternatively, allowances must be made for for their effects by designing for the worst case. Either approach leads to a decrease in average performance. Since critical soft realtime systems do not require that all deadlines be met, average performance can be improved by adopting a probabilitistic approach. In order to allow a tradeoff between deadlines met and average
An Introduction to Control and Scheduling
 39TH IEEE CONFERENCE ON DECISION AND CONTROL
, 1999
"... The report gives a stateoftheart survey of the field of integrated control and scheduling. Subtopics discussed are implementation and scheduling of periodic control loops, scheduling under overload, control and scheduling codesign, dynamic task adaptation, feedback scheduling, and scheduling o ..."
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Cited by 20 (6 self)
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The report gives a stateoftheart survey of the field of integrated control and scheduling. Subtopics discussed are implementation and scheduling of periodic control loops, scheduling under overload, control and scheduling codesign, dynamic task adaptation, feedback scheduling, and scheduling of imprecise calculations. The report also presents the background, motivation, and research topics in the ARTES project “Integrated
An exact stochastic analysis of prioritydriven periodic realtime systems and its approximations.
 IEEE Trans. Comput.,
, 2005
"... Abstract This paper describes a stochastic analysis framework which computes the response time distribution and the deadline miss probability of individual tasks, even for systems with a maximum utilization greater than one. The framework is uniformly applied to fixedpriority and dynamicpriority ..."
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Cited by 20 (1 self)
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Abstract This paper describes a stochastic analysis framework which computes the response time distribution and the deadline miss probability of individual tasks, even for systems with a maximum utilization greater than one. The framework is uniformly applied to fixedpriority and dynamicpriority systems and can handle tasks with arbitrary relative deadlines and execution time distributions.
Resource Management Middleware for Dynamic, Dependable RealTime Systems
, 1998
"... This paper presents resource management techniques that achieve the qualityof service (QoS) requirements of dynamic realtime systems using open architectures and commercial otheshelf technologies (COTS). Dynamic realtime systems are subject to constant changes such as a varying external environm ..."
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Cited by 20 (12 self)
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This paper presents resource management techniques that achieve the qualityof service (QoS) requirements of dynamic realtime systems using open architectures and commercial otheshelf technologies (COTS). Dynamic realtime systems are subject to constant changes such as a varying external environment, overload of internal systems, component failure, and evolving operational requirements. Examples of such systems include the emerging generation of computerbased, command and control systems of the U.S. Navy. To enable the engineering of such systems,w present adaptive resource management middlew are techniques that achieve the QoS requirements of the system. The middlew re performs QoS monitoring and failure detection, QoS diagnosis, and reallocation of resources to adapt the system to achieve acceptable levels of QoS. Experimental characterizations of the middlew are using a realtime benchmark illustrate its eectiveness for adapting the system for achieving the desired realtime and survivability QoS during overloaded situations. Keywords
Design and Implementation of Statistical Rate Monotonic Scheduling in KURT Linux
 In IEEE RealTime Systems Symposium
, 1998
"... Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [LL73] for periodic tasks with highly variable execution times and statistical QoS requirements. The main tenet of SRMS is that the variability in task resource requirements could be smoo ..."
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Cited by 20 (0 self)
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Statistical Rate Monotonic Scheduling (SRMS) is a generalization of the classical RMS results of Liu and Layland [LL73] for periodic tasks with highly variable execution times and statistical QoS requirements. The main tenet of SRMS is that the variability in task resource requirements could be smoothed through aggregation to yield guaranteed QoS. This aggregation is done over time for a given task and across multiple tasks for a given period of time. Similar to RMS, SRMS has two components: a feasibility test and a scheduling algorithm. SRMS feasibility test ensures that it is possible for a given periodic task set to share a given resource without violating any of the statistical QoS constraints imposed on each task in the set. The SRMS scheduling algorithm consists of two parts: a job admission controller and a scheduler. The SRMS scheduler is a simple, preemptive, fixedpriority scheduler. The SRMS job admission controller manages the QoS delivered to the various tasks through admi...