SAC '93 Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice
Holistic schedulability analysis for distributed hard real-time systems
Microprocessing and Microprogramming - Parallel processing in embedded real-time systems
Allocation and Scheduling of Precedence-Related Periodic Tasks
IEEE Transactions on Parallel and Distributed Systems
Incremental Reconfiguration and Load Adjustment in Adaptive Real-Time Systems
IEEE Transactions on Computers
Performance Estimation for Real-Time Distributed Embedded Systems
IEEE Transactions on Parallel and Distributed Systems
Overload Management in Real-Time Control Applications Using m,k $(m,k)$-Firm Guarantee
IEEE Transactions on Parallel and Distributed Systems
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
System architecture directions for networked sensors
ASPLOS IX Proceedings of the ninth international conference on Architectural support for programming languages and operating systems
Skip-Over: algorithms and complexity for overloaded systems that allow skips
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
Window-Constrained Real-Time Periodic Task Scheduling
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
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Many embedded systems are designed to take timely reactions to the occurrences of interested scenarios. Sometimes transient overloads might be experienced due to hardware malfunctions or workload bursts. Thus a mechanism to focus system attention on urgent events could be a key to provide reasonably stable service. In this paper, we propose a new approach for workload scaling in uniprocessor real-time embedded systems. A deterministic algorithm is adopted to selectively fed hardware events into a system, and an event-driven task model is introduced to formulate complex precedence constraints among tasks. Such a new approach removes the need for the adjustments of task periods and task phasing, which is crucial for many time-driven systems. The proposed approach was implemented in a real-time surveillance system, for which good accuracy and responsiveness were obtained under stressing workloads.