Artículos relacionados a Efficient Resource Allocation for Real-Time Systems

Efficient Resource Allocation for Real-Time Systems - Tapa blanda

Shah, Apurva; Prajapati, Vishal

 
9783659566455: Efficient Resource Allocation for Real-Time Systems
Tapa blanda
ISBN 10: 3659566454 ISBN 13: 9783659566455
Editorial: LAP LAMBERT Academic Publishing, 2014

Sinopsis

Resource allocation is one of the challenging problems for real-time operating system. Priority inheritance protocol (PIP) and Priority ceiling protocol are very popular for resource allocation in real time operating system. Both algorithms have certain advantages and disadvantages. In priority inheritance protocol when any higher priority job is scheduled and if that job requires the resource which is acquired by lower priority job than lower priority job inherits the priority of currently scheduled job and it will be executed when context switch occurs.Generally context switching time taken by the processor is ignored but it is having considerable impact when numbers of switches are more. Our proposed algorithm will decrease the number of context switches as it will not schedule the job which requires the resource which is already acquired by another job. By this way, overall overhead of the system is reduced.

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Reseña del editor

Resource allocation is one of the challenging problems for real-time operating system. Priority inheritance protocol (PIP) and Priority ceiling protocol are very popular for resource allocation in real time operating system. Both algorithms have certain advantages and disadvantages. In priority inheritance protocol when any higher priority job is scheduled and if that job requires the resource which is acquired by lower priority job than lower priority job inherits the priority of currently scheduled job and it will be executed when context switch occurs.Generally context switching time taken by the processor is ignored but it is having considerable impact when numbers of switches are more. Our proposed algorithm will decrease the number of context switches as it will not schedule the job which requires the resource which is already acquired by another job. By this way, overall overhead of the system is reduced.

Biografía del autor

Dr Apurva Shah is working as Associate Professor at Faculty of Technology and Engineering, The M S University of Baroda. He has finished his Ph.D. in Computer Engineering from Sardar Patel University, Vallabh Vidyanagar, India. His area of interest is Real-Time systems, Distributed Systems, Artificial Intelligence.

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Editorial
LAP LAMBERT Academic Publishing
Año de publicación
2014
Idioma
Inglés
ISBN 10 
3659566454
ISBN 13 
9783659566455
Encuadernación
Tapa blanda
Número de páginas
56
Contacto del fabricante
no disponible
Persona responsable
no disponible