End-to-end scheduling to meet deadlines in distributed systems
End-to-end scheduling to meet deadlines in distributed systems
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
Real-time dynamic voltage scaling for low-power embedded operating systems
SOSP '01 Proceedings of the eighteenth ACM symposium on Operating systems principles
Distance-Constrained Scheduling and Its Applications to Real-Time Systems
IEEE Transactions on Computers
Time Slot Allocation for Real-Time Messages with Negotiable Distance Constrains
RTAS '98 Proceedings of the Fourth IEEE Real-Time Technology and Applications Symposium
Template-Based Real-Time Dwell Scheduling with Energy Constraint
RTAS '03 Proceedings of the The 9th IEEE Real-Time and Embedded Technology and Applications Symposium
Distributed pinwheel scheduling with end-to-end timing constraints
RTSS '95 Proceedings of the 16th IEEE Real-Time Systems Symposium
ECRTS '01 Proceedings of the 13th Euromicro Conference on Real-Time Systems
Dynamic and Aggressive Scheduling Techniques for Power-Aware Real-Time Systems
RTSS '01 Proceedings of the 22nd IEEE Real-Time Systems Symposium
Energy-efficient soft real-time CPU scheduling for mobile multimedia systems
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Real-time digital signal processing of component-oriented phased array radars
RTSS'10 Proceedings of the 21st IEEE conference on Real-time systems symposium
Utility Accrual Real-Time Scheduling under Variable Cost Functions
IEEE Transactions on Computers
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This paper addresses the problem of scheduling real-timedwells in multi-function phase array radar systems.To keep track of targets, a radar system must meet its timingand energy constraints. We propose a new task modelfor radar dwells to accurately characterize their timing parameters.We develop an algorithm of transforming everydwell task as a semi-period task so the dwell task can meetits timing constraint and the interarrival times of the taskmay not a constant. We also develop an enhanced template-basedscheduling algorithm to schedule such tasks to meetthe timing and energy constraints. Simulation results showthat this algorithm can significantly improve the resourceutilization.