A continuous media application supporting dynamic QOS control on real-time Mach
MULTIMEDIA '94 Proceedings of the second ACM international conference on Multimedia
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Elastic Scheduling for Flexible Workload Management
IEEE Transactions on Computers
QoS Negotiation in Real-Time Systems and Its Application to Automated Flight Control
RTAS '97 Proceedings of the 3rd IEEE Real-Time Technology and Applications Symposium (RTAS '97)
A processor reservation system supporting dynamic QOS control
RTCSA '95 Proceedings of the 2nd International Workshop on Real-Time Computing Systems and Applications
HARTIK 3.0: a portable system for developing real-time applications
RTCSA '97 Proceedings of the 4th International Workshop on Real-Time Computing Systems and Applications
A Bandwidth Reservation Algorithm for Multi-Application Systems
RTCSA '98 Proceedings of the 5th International Conference on Real-Time Computing Systems and Applications
Support for dynamic QoS in the HARTIK kernel
RTCSA '00 Proceedings of the Seventh International Conference on Real-Time Systems and Applications
On task schedulability in real-time control systems
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
Elastic Task Model for Adaptive Rate Control
RTSS '98 Proceedings of the IEEE Real-Time Systems Symposium
Design and Evaluation of a Feedback Control EDF Scheduling Algorithm
RTSS '99 Proceedings of the 20th IEEE Real-Time Systems Symposium
Performance specifications and metrics for adaptive real-time systems
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
Real Time Scheduling Theory: A Historical Perspective
Real-Time Systems
Façade: Virtual Storage Devices with Performance Guarantees
FAST '03 Proceedings of the 2nd USENIX Conference on File and Storage Technologies
Quality-of-Control Management in Overloaded Real-Time Systems
IEEE Transactions on Computers
Adaptive Resource Allocation Control for Fair QoS Management
IEEE Transactions on Computers
FCS/nORB: A feedback control real-time scheduling service for embedded ORB middleware
Microprocessors & Microsystems
Adaptive Fair Sharing Control in Real-Time Systems Using Nonlinear Elastic Task Models
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Steering of Discrete Event Systems: Control Theory Approach
Electronic Notes in Theoretical Computer Science (ENTCS)
Robust performance modelling and scheduling of distributed real-time systems
The Journal of Supercomputing
QoS-based management of multiple shared resource in dynamic real-time systems
IPDPS'06 Proceedings of the 20th international conference on Parallel and distributed processing
Façade: virtual storage devices with performance guarantees
FAST'03 Proceedings of the 2nd USENIX conference on File and storage technologies
QoC elastic scheduling for real-time control systems
Real-Time Systems
HiPC'04 Proceedings of the 11th international conference on High Performance Computing
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In real-time computing systems, timing constraints imposed on application tasks are typically guaranteed off line using schedulability tests based on fixed parameters and worst-case execution times. However, a precise estimation of tasks’ computation times is very hard to achieve, due to the non-deterministic behavior of several low-level processor mechanisms, such as caching, prefetching, and DMA data transfer. The disadvantage of relying the guarantee test on a priori estimates is that an underestimation of computation times may jeopardize the correct behavior of the system, whereas an overestimation will certainly waste system resources and causes a performance degradation. In this paper, we propose a new methodology for automatically adapting the rates of a periodic task set without forcing the programmer to provide a priori estimates of tasks’ computation times. Actual executions are monitored by a runtime mechanism and used as feedback signals for predicting the actual load and achieving rate adaptation. Load balancing is performed using an elastic task model, according to which tasks utilizations are treated as springs with given elastic coefficients.