Dynamic Scheduling for Real-Time Systems: Efficient Scheduling Algorithms using ACO and Conventional Techniques

Shah, Apurva, Kotecha, Ketan

ISBN 10: 365926802X / ISBN 13: 9783659268021

Published by LAP LAMBERT Academic Publishing, 2012

About this Item

NEW. SHIPS FROM MULTIPLE LOCATIONS.

Seller Inventory # ERICA829365926802X6

Bibliographic Details

• Title: Dynamic Scheduling for Real-Time Systems: Efficient Scheduling Algorithms using ACO and Conventional Techniques
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2012
• Language: English
• ISBN 10: 365926802X
• ISBN 13: 9783659268021
• Binding: paperback
• Condition: New
• Book Type: book

About this title

Synopsis

The book describes the research work done by author during his PhD. It is suitable as reference book in the advance course of real-time system as well as for the researchers in the same field. It discusses the scheduling problem for real-time operating systems. Dynamic scheduling algorithms can not perform well during overloaded condition. The objective of the book is to get optimum performance in underloaded condition and to improve the performance of real-time systems in overloaded conditions. Initially, new algorithms are proposed with modifications in the conventional EDF algorithm. Then, ACO based dynamic scheduling algorithm for real-time operating systems has been proposed.An adaptive scheduling algorithm is also proposed as pure ACO based algorithm takes more time for execution. All algorithms are tested on single processor system, tightly coupled multiprocessor system and loosely coupled multiprocessor real-time systems. The book covers an important application of ACO in real-time scheduling.

About the Author

Prof. Apurva Shah is working as Professor at G H Patel College of Engg & Tech, Vallabh Vidyanagar, India. Prof. Shah did his PhD from Sardar Patel University. He is having over 15 years of teaching experience. His research interests include Real-Time systems, Distributed Systems, Cloud Computing and various Artificial Intelligence Techniques.