Beschreibung
A scheduling algorithm schedules a set of tasks in such way that the tasks are completed before their deadlines reached. There are varieties of algorithms for scheduling of periodic tasks on multiprocessor under partitioning scheme or global scheduling scheme. The most common scheduling algorithms are: Rate Monotonic (RM), Deadline Monotonic (DM), Earliest Deadline First (EDF) and Least Laxity First (LLF). In this book, we have proposed a new algorithm titled as D_EDF which is modified conventional EDF algorithm. The proposed algorithm along with EDF, LLF, RM, DM algorithms are simulated and tested for independent, preemptive, periodic tasks on tightly coupled real-time multiprocessor system under global scheduling. From experiments and result analysis it concludes that the proposed algorithm is very efficient in both underloaded and overloaded conditions. The algorithm proposed in this book; perform quite well during overloaded conditions. The algorithm is truly dynamic as it can work with available number of processors.
Autorenporträt
Dr Apurva Shah is working as Associate Professor with the Maharaja Sayajirao University of Baroda. He did his PhD in Computer Engineering from Sardar Patel University, India. His area of interest are Real-time Systems, Distributed Systems and Artificial Intelligence.
Herstellerkennzeichnung:
OmniScriptum SRL
Str. Armeneasca 28/1, office 1
2012 Chisinau
MD
E-Mail: info@omniscriptum.com
