End-to-end scheduling to meet deadlines in distributed systems
End-to-end scheduling to meet deadlines in distributed systems
Incremental Reconfiguration and Load Adjustment in Adaptive Real-Time Systems
IEEE Transactions on Computers
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Distributed pinwheel scheduling with end-to-end timing constraints
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
Bounding completion times of jobs with arbitrary release times and variable execution times
RTSS '96 Proceedings of the 17th IEEE Real-Time Systems Symposium
NP-complete scheduling problems
Journal of Computer and System Sciences
Real-time digital signal processing of component-oriented phased array radars
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
Scheduling Real-Time Dwells Using Tasks with Synthetic Periods
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Radar Dwell Scheduling Considering Physical Characteristics of Phased Array Antenna
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Dual face phased array radar scheduling with multiple constraints
Proceedings of the 5th ACM international conference on Embedded software
Component-Oriented Radars with Probabilistic Timing Guarantees
IEEE Transactions on Parallel and Distributed Systems
Schedulability Envelope for Real-Time Radar Dwell Scheduling
IEEE Transactions on Computers
Utility Accrual Real-Time Scheduling under Variable Cost Functions
IEEE Transactions on Computers
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
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This paper addresses the scheduling problem of radardwells in multi-function phase array radars. Well-knownand new challenges make it difficult to provide predictableperformance for real-time dwell scheduling. We developedthe template-based scheduling algorithm to guarantee theperformance requirement with low on-line overhead. Simulationresults show that the template-based scheduling approachincreases utilization and provides predictable performance.