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Design, Development and Performance Analysis of Cpu Scheduling Algorithms

Thesis Info

Access Option

External Link

Author

Ghazala Bibi

Institute

Virtual University of Pakistan

Institute Type

Public

City

Lahore

Province

Punjab

Country

Pakistan

Thesis Completing Year

2017

Thesis Completion Status

Completed

Subject

Software Engineering

Language

English

Link

http://vspace.vu.edu.pk/detail.aspx?id=106

Added

2021-02-17 19:49:13

Modified

2024-03-24 20:25:49

ARI ID

1676720968224

Similar


OS is set of activities which enables a user or group of users to make utilization of system resources. Multiprogramming OS runs several jobs concurrently. The aim of the multiprogramming is to use the system resources optimally. Optimal resource utilization can be attained by effective and efficient sharing of resources between several users and jobs. Optimal resource allocation relies on effective and well-organized job scheduling at the processor. Job scheduling is a main part of multiprogramming OS. Since the processor is the main essential resource, job/processes scheduling also known as CPU scheduling, develop into one of the core components of OS. CPU Scheduling plays a very important function in efficient and effective use of resources. Various algorithms have been suggested for implementation of CPU scheduling to attain the optimality in OS. Our research work introduces new CPU scheduling algorithm with the high degree objective of optimality in effectiveness and performance. This research work compares the suggested new CPU scheduling algorithm with the existing classical algorithms and recently published ones. Simulation is used for the relative performance study of various CPU scheduling algorithms using synthetic workload. The results of simulations are in form of scheduling performance metrics as per the standard practices followed by the scientists of OS. The simulation may also be used for the guidance and exercise of students of OS.
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