
One problem in Round Robin CPU Scheduling is that if the time required for the running process is slig htly more than time quantum even by a fraction value, th en process gets preempted and context switch occurs . This causes more waiting time for that process and more overheads due to unnecessary context switch. Another problem with RR scheduling is the value of time Quantum. If it is too large, RR algorithm degenerate to FCFS and if it is too short frequent context switches occurs which results into more ove rheads which in turn degrade the performance. In this work a Fuzzy Round Robin scheduling algorithm has been proposed that tries to remove these two problems us ing fuzzy technique. Simulation has been done to compare the performance of this algorithm with its non fuzzy counterpart.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 8 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
