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.
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