Multiprocessor scheduling Theory and applications 1st Edition by Levner E ISBN 3902613025 9783902613028

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ISBN 10: 3902613025
ISBN 13: 9783902613028
Author: Levner E 

“Multiprocessor Scheduling: Theory and Applications” (1st Edition) by Levner E. introduces a comprehensive study of scheduling algorithms designed for multiprocessor systems. It focuses on the fundamental theoretical aspects of scheduling, as well as practical applications in parallel computing, real-time systems, and distributed systems. This book is ideal for researchers, computer scientists, and engineers working on or studying multiprocessor systems, parallel algorithms, and optimization problems.

Multiprocessor scheduling Theory and applications 1st Table of contents:

Part I: Foundations of Multiprocessor Scheduling

Chapter 1: Introduction to Multiprocessor Scheduling
1.1 What is Multiprocessor Scheduling?
1.2 Importance of Scheduling in Parallel Computing
1.3 Basic Concepts and Definitions
1.4 Overview of Scheduling Challenges in Multiprocessor Systems
1.5 Applications of Multiprocessor Scheduling

Chapter 2: Scheduling Models and Problems
2.1 The Multiprocessor Scheduling Problem
2.2 Models of Multiprocessor Systems
2.3 Task Graphs and Computational Complexity
2.4 Real-Time Scheduling and its Challenges
2.5 Scheduling in Distributed Systems

Chapter 3: Basic Scheduling Algorithms
3.1 First-Come-First-Served (FCFS)
3.2 Round Robin Scheduling
3.3 Shortest Job First (SJF)
3.4 Priority Scheduling Techniques
3.5 Parallel Task Scheduling Algorithms

Part II: Advanced Scheduling Algorithms

Chapter 4: Optimal Scheduling Algorithms
4.1 Minimizing Makespan
4.2 Optimal Task Assignment Strategies
4.3 Linear Programming Techniques for Scheduling
4.4 Approximation Algorithms for Multiprocessor Scheduling
4.5 Online vs. Offline Scheduling

Chapter 5: Real-Time Scheduling in Multiprocessor Systems
5.1 Characteristics of Real-Time Systems
5.2 Task Scheduling with Deadlines
5.3 Rate-Monotonic Scheduling (RMS)
5.4 Earliest Deadline First (EDF) Scheduling
5.5 Fixed-Priority Scheduling Algorithms
5.6 Dynamic Scheduling for Real-Time Tasks

Chapter 6: Multiprocessor Scheduling for Parallel Applications
6.1 Task Partitioning and Parallel Processing
6.2 Load Balancing and Scheduling
6.3 Scheduling DAGs (Directed Acyclic Graphs) on Multiprocessors
6.4 Optimization in Parallel Task Scheduling
6.5 Adaptive Scheduling for Parallel Systems

Chapter 7: Scheduling in Distributed Systems
7.1 Distributed System Scheduling Requirements
7.2 Task Assignment in Heterogeneous Systems
7.3 Job Scheduling in Grid Computing
7.4 Resource Allocation and Scheduling for Cloud Computing
7.5 Fault-Tolerant Scheduling

Part III: Practical Applications and Case Studies

Chapter 8: Multiprocessor Scheduling in Real-World Systems
8.1 Scheduling in Operating Systems
8.2 Scheduling in High-Performance Computing (HPC)
8.3 Task Scheduling for Embedded Systems
8.4 Real-World Case Studies in Multiprocessor Scheduling
8.5 Scheduling in Data Centers and Cloud Computing

Chapter 9: Performance Evaluation of Scheduling Algorithms
9.1 Metrics for Evaluating Scheduling Efficiency
9.2 Simulations and Benchmarking
9.3 Experimental Design for Scheduling Algorithms
9.4 Performance Analysis Techniques
9.5 Comparative Evaluation of Different Scheduling Algorithms

Chapter 10: Future Trends and Challenges in Multiprocessor Scheduling
10.1 Emerging Hardware Architectures for Multiprocessor Systems
10.2 Scheduling for Multicore and Manycore Processors
10.3 Energy-Efficient Scheduling in Green Computing
10.4 Intelligent Scheduling with Machine Learning
10.5 The Future of Distributed and Cloud Scheduling Systems

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