DocumentCode :
2661593
Title :
GQSD: The new algorithm for optimizing the quality of service heterogeneous possessing sources at distributed systems
Author :
Delavar, Arash Ghorbannia ; Rahmany, Mostafa ; Nejadkheirallah, Mohsen ; Darvish, Kobra
Author_Institution :
Payam Noor Univ., Tehran, Iran
Volume :
2
fYear :
2010
fDate :
3-5 Oct. 2010
Abstract :
In this paper we proposed GQSD algorithm that has created new technical method to decrease the maximum number of repetitions at generations also we will optimize the processing sources schedule at offered algorithm rather than previous optimization algorithms. GQSD is a novel algorithm that by defining new parameters and metrics, has decreased the delay and also response time of job. Also it satisfies the satisfaction level of servers. Several simulation results show that by using this new algorithm, a better makespan in total task process and a better performance of distributed system are being achieved. This way, quality of service in different levels of distributed processors is being increased and finally acknowledge delay of processes is being decreased significantly.
Keywords :
job shop scheduling; optimisation; quality of service; GQSD; distributed processors; distributed systems; heterogeneous possessing sources; makespan; optimization; quality of service; ISO standards; Timing; Distributed systems; GQSD; Genetic Algorithm; QoS; delay Scheduling; heterogeneous resources;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Software Technology and Engineering (ICSTE), 2010 2nd International Conference on
Conference_Location :
San Juan, PR
Print_ISBN :
978-1-4244-8667-0
Electronic_ISBN :
978-1-4244-8666-3
Type :
conf
DOI :
10.1109/ICSTE.2010.5608768
Filename :
5608768
Link To Document :
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