Full of practical examples, Introduction to Scheduling presents
the basic concepts and methods, fundamental results, and recent
developments of scheduling theory. With contributions from highly
respected experts, it provides self-contained, easy-to-follow, yet
rigorous presentations of the material.
The book first classifies scheduling problems and their
complexity and then presents examples that demonstrate successful
techniques for the design of efficient approximation algorithms. It
also discusses classical problems, such as the famous makespan
minimization problem, as well as more recent advances, such as
energy-efficient scheduling algorithms. After focusing on job
scheduling problems that encompass independent and possibly
parallel jobs, the text moves on to a practical application of
cyclic scheduling for the synthesis of embedded systems. It also
proves that efficient schedules can be derived in the context of
steady-state scheduling. Subsequent chapters discuss scheduling
large and computer-intensive applications on parallel resources,
illustrate different approaches of multi-objective scheduling, and
show how to compare the performance of stochastic task-resource
systems. The final chapter assesses the impact of platform models
on scheduling techniques.
From the basics to advanced topics and platform models, this
volume provides a thorough introduction to the field. It reviews
classical methods, explores more contemporary models, and shows how
the techniques and algorithms are used in practice.
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