12 citations · 62 across the 25 of their papers we have counts for
7 papers · 1 filter
Comparative performance analysis of multi dynamic time quantum Round Robin(MDTQRR) algorithm with arrival time
H. S. Behera, Rakesh Mohanty, Sabyasachi Sahu +1
CPU being considered a primary computer resource, its scheduling is central to operating-system design. A thorough performance evaluation of various scheduling algorithms manifests…
Design and Performance Evaluation of A New Proposed Fittest Job First Dynamic Round Robin(FJFDRR) Scheduling Algorithm
Rakesh Mohanty, Manas Das, M. Lakshmi Prasanna +1
In this paper, we have proposed a new variant of Round Robin scheduling algorithm by executing the processes according to the new calculated Fit Factor f and using the concept of d…
A New Proposed Cost Model for List Accessing Problem using Buffering
Rakesh Mohanty, Seetaya Bhoi, Sasmita Tripathy
There are many existing well known cost models for the list accessing problem. The standard cost model developed by Sleator and Tarjan is most widely used. In this paper, we have m…
Characterization of Request Sequences for List Accessing Problem and New Theoretical Results for MTF Algorithm
Rakesh Mohanty, Burle Sharma, Sasmita Tripathy
List Accessing Problem is a well studied research problem in the context of linear search. Input to the list accessing problem is an unsorted linear list of distinct elements along…
Priority Based Dynamic Round Robin (PBDRR) Algorithm with Intelligent Time Slice for Soft Real Time Systems
Rakesh Mohanty, H. S. Behera, Khusbu Patwari +2
In this paper, a new variant of Round Robin (RR) algorithm is proposed which is suitable for soft real time systems. RR algorithm performs optimally in timeshared systems, but it i…
An Improved Move-To-Front(IMTF) Off-line Algorithm for the List Accessing Problem
Rakesh Mohanty, Sasmita Tripathy
For the List Accessing Problem, Move-To-Front(MTF) algorithm has been proved to be the best performing online list accessing algorithm till date in the literature[10]. In this pape…