The design and analysis of scheduling algorithms for real-time and fault-tolerant computer systems
The design and analysis of scheduling algorithms for real-time and fault-tolerant computer systems
Optimal time-critical scheduling via resource augmentation (extended abstract)
STOC '97 Proceedings of the twenty-ninth annual ACM symposium on Theory of computing
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
Journal of the ACM (JACM)
New Strategies for Assigning Real-Time Tasks to Multiprocessor Systems
IEEE Transactions on Computers
Speed is as powerful as clairvoyance [scheduling problems]
FOCS '95 Proceedings of the 36th Annual Symposium on Foundations of Computer Science
The Space of Rate Monotonic Schedulability
RTSS '02 Proceedings of the 23rd IEEE Real-Time Systems Symposium
FUNDAMENTAL DESIGN PROBLEMS OF DISTRIBUTED SYSTEMS FOR THE HARD-REAL-TIME ENVIRONMENT
FUNDAMENTAL DESIGN PROBLEMS OF DISTRIBUTED SYSTEMS FOR THE HARD-REAL-TIME ENVIRONMENT
Multiprocessor EDF and Deadline Monotonic Schedulability Analysis
RTSS '03 Proceedings of the 24th IEEE International Real-Time Systems Symposium
Improved Schedulability Analysis of EDF on Multiprocessor Platforms
ECRTS '05 Proceedings of the 17th Euromicro Conference on Real-Time Systems
The Partitioned Multiprocessor Scheduling of Sporadic Task Systems
RTSS '05 Proceedings of the 26th IEEE International Real-Time Systems Symposium
Fast algorithms for bin packing
Journal of Computer and System Sciences
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
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We consider the partitioned scheduling of sporadic, hard-real-time tasks on a multiprocessor platform with static-priority scheduling policies. Most previous work on the static-priority scheduling of sporadic tasks upon multiprocessors has assumed implicit deadlines (i.e. a task's relative deadline is equal to its period). We relax the equality constraint on a task's deadline and consider task systems with constrained deadlines (i.e. relative deadlines are at most periods). In particular, we consider the first-fit decreasing partitioning algorithm. Since the partitioning problem is easily seen to be NP-hard in the strong sense, this algorithm is unlikely to be optimal. We quantitatively characterize the partitioning algorithm's worst-case performance in terms of resource augmentation.