2011
DOI: 10.5121/ijitcs.2011.1407
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A Genetic Based Approach For Multiobjective Optimization Of Disk Scheduling To Reduce Completion Time And Missed Task

Abstract: Disk scheduling is a method by which a computer operating system decides the order that block I/

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Cited by 4 publications
(3 citation statements)
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“…Dimitrijev presented a semi-preemptible I/O, which divides disk I/O requests into small temporal units of disk commands to improve the pre-emptibility of disk access. The evaluation of this prototype system showed that semi-pre-emptible I/O substantially improved the pre-emptibility of disk access with little loss in disk throughput and that pre-emptive disk scheduling could improve the response time for highpriority interactive requests [25] [26].…”
Section: Disk Scheduling Algorithmsmentioning
confidence: 99%
“…Dimitrijev presented a semi-preemptible I/O, which divides disk I/O requests into small temporal units of disk commands to improve the pre-emptibility of disk access. The evaluation of this prototype system showed that semi-pre-emptible I/O substantially improved the pre-emptibility of disk access with little loss in disk throughput and that pre-emptive disk scheduling could improve the response time for highpriority interactive requests [25] [26].…”
Section: Disk Scheduling Algorithmsmentioning
confidence: 99%
“…The disk arm starts from one end of the disk, and moves towards the other end. It services requests till it gets to the other end of disk, where the head movement gets reversed and servicing is continued [6]. C-Scan: It is an improvised version of SCAN aimed at providing a homogeneous wait time wherein it services the requests moving from one end to another.…”
Section: Scanmentioning
confidence: 99%
“…In [5] the researchers have combined the concept of pipelining with CPU scheduling, thereby improving the performance of CPU scheduling. In [6] the author aims at improving the convergence of genetic algorithm and by introducing the probability of simulated annealing as the principle for recognition of new trial solution.…”
Section: Related Workmentioning
confidence: 99%