On multi-dimensional packing problems
Proceedings of the tenth annual ACM-SIAM symposium on Discrete algorithms
Speed is as powerful as clairvoyance
Journal of the ACM (JACM)
Complexity and Approximation: Combinatorial Optimization Problems and Their Approximability Properties
On Multidimensional Packing Problems
SIAM Journal on Computing
Rate monotonic vs. EDF: judgment day
Real-Time Systems
Task Partitioning upon Memory-Constrained Multiprocessors
RTCSA '05 Proceedings of the 11th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications
The partitioned dynamic-priority scheduling of sporadic task systems
Real-Time Systems
Worst-case utilization bound for EDF scheduling on real-time multiprocessor systems
Euromicro-RTS'00 Proceedings of the 12th Euromicro conference on Real-time systems
A Lookup-Table Driven Approach to Partitioned Scheduling
RTAS '11 Proceedings of the 2011 17th IEEE Real-Time and Embedded Technology and Applications Symposium
Proceedings of the tenth ACM international conference on Embedded software
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Most prior theoretical research on real-time partitioning algorithms for multiprocessor platforms has focused on ensuring that the cumulative computing requirements of the tasks assigned to each processor does not exceed the processor's processing power. However, computing capacity is often not the only limiting resource: on many multiprocessor platforms each individual computing unit may have limited amounts of multiple additional types of resources (such as local memory) in addition to having limited processing power. We present algorithms for partitioning a collection of sporadic tasks, each characterized by a WCET, a relative deadline, and a period, upon a multiprocessor platform in a manner that is cognizant of such additional constraints as well as the processing capacity constraints.