Many real-time systems rely on static scheduling algorithms. This includes cyclic scheduling, rate monotonic scheduling and fixed schedules created by off-line scheduling techniques such as dynamic programming, heuristic search, and simulated annealing. However, for many real-time systems, static scheduling algorithms are quite restrictive and inflexible. For example, highly automated agile manufacturing, command, control and communications, and distributed real-time multimedia applications all operate over long lifetimes and in highly non-deterministic environments. Dynamic real-time scheduling algorithms are more appropriate for these systems and are used in such systems. Many of these algorithms are based on earliest deadline first (EDF) policies. There exists a wealth of literature on EDF-based scheduling with many extensions to deal with sophisticated issues such as precedence constraints, resource requirements, system overload, multi-processors, and distributed systems. Deadline Scheduling for Real-Time Systems: EDF and Related Algorithms aims at collecting a significant body of knowledge on EDF scheduling for real-time systems, but it does not try to be all-inclusive (the literature is too extensive). The book primarily presents the algorithms and associated analysis, but guidelines, rules, and implementation considerations are also discussed, especially for the more complicated situations where mathematical analysis is difficult. In general, it is very difficult to codify and taxonomize scheduling knowledge because there are many performance metrics, task characteristics, and system configurations. Also, adding to the complexity is the fact that a variety of algorithms have been designed for different combinations of these considerations. In spite of the recent advances there are still gaps in the solution space and there is a need to integrate the available solutions. For example, a list of issues to consider includes: preemptive versus non-preemptive tasks, uni-processors versus multi-processors, using EDF at dispatch time versus EDF-based planning, precedence constraints among tasks, resource constraints, periodic versus aperiodic versus sporadic tasks, scheduling during overload, fault tolerance requirements, and providing guarantees and levels of guarantees (meeting quality of service requirements). Deadline Scheduling for Real-Time Systems: EDF and Related Algorithms should be of interest to researchers, real-time system designers, and instructors and students, either as a focussed course on deadline-based scheduling for real-time systems, or, more likely, as part of a more general course on real-time computing. The book serves as an invaluable reference in this fast-moving field.
Cited By
- Li H Phoenix Proceedings of the 29th ACM International Conference on Multimedia, (4775-4778)
- Capezzuto L, Tarapore D and Ramchurn S Large-Scale, Dynamic and Distributed Coalition Formation with Spatial and Temporal Constraints Multi-Agent Systems, (108-125)
- Xu X, Li M and Duan L Strategyproof Mechanisms for Activity Scheduling Proceedings of the 19th International Conference on Autonomous Agents and MultiAgent Systems, (1539-1547)
- Lin C, Shang Z, Du W, Ren J, Wang L and Wu G CoDoC: A Novel Attack for Wireless Rechargeable Sensor Networks through Denial of Charge IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, (856-864)
- Tian B, Huang J, Mozafari B and Schoenebeck G (2018). Contention-aware lock scheduling for transactional databases, Proceedings of the VLDB Endowment, 11:5, (648-662), Online publication date: 1-Jan-2018.
- Tian B, Huang J, Mozafari B and Schoenebeck G (2018). Contention-aware lock scheduling for transactional databases, Proceedings of the VLDB Endowment, 11:5, (648-662), Online publication date: 1-Jan-2018.
- Lin C, Zhou Y, Song H, Yu C and Wu G (2017). OPPC, ACM Transactions on Embedded Computing Systems, 17:1, (1-25), Online publication date: 12-Jan-2018.
- Kienberger J, Saad C, Kuntz S and Bauer B Efficient Parallelization of Complex Automotive Systems Proceedings of the 7th International Workshop on Programming Models and Applications for Multicores and Manycores, (40-49)
Recommendations
On Scheduling Unit-Length Jobs with Multiple Release Time/Deadline Intervals
We consider the problem of scheduling n unit-time jobs with multiple release time/deadline intervals, which are intervals of time in which the job can be scheduled. A feasible schedule is one in which each job is run in its entirety within one of its ...
Predictability of Earliest Deadline Zero Laxity Algorithm for Multiprocessor Real-Time Systems
ISORC '06: Proceedings of the Ninth IEEE International Symposium on Object and Component-Oriented Real-Time Distributed ComputingValidation methods for hard real-time jobs are usually performed based on the maximum execution time. The actual execution time of jobs are assumed to be known only when the jobs arrive or not known until they finish. A predictable algorithm must ...