Hybrid scheduling and dual queue scheduling

A., Oxley and S.N.M., Shah and A.K., Mahmood (2009) Hybrid scheduling and dual queue scheduling. In: 2009 2nd IEEE International Conference on Computer Science and Information Technology, ICCSIT 2009, 8 August 2009 through 11 August 2009, Beijing.

[img] PDF
Restricted to Registered users only


Official URL: http://www.scopus.com/inward/record.url?eid=2-s2.0...


Multiprogramming computer systems execute multiple programs concurrently. An objective of multiprogramming is to optimize resource utilization. Efficient resource utilization is achieved by sharing system resources amongst multiple users and system processes. Optimum resource sharing depends on the efficient scheduling of competing users and system processes for the processor, which renders process scheduling an important aspect of a multiprogramming operating system. As the processor is the most important resource, process scheduling, which is called CPU scheduling, becomes all the more important in achieving the above mentioned objectives. Many algorithms have been developed for the CPU scheduling of a modern multiprogramming operating system. Our research work involves the design and development of new CPU scheduling algorithms (the Hybrid Scheduling Algorithm and the Dual Queue Scheduling Algorithm) with a view to optimization. This work involves a software tool which produces a comprehensive simulation of a number of CPU scheduling algorithms. The tool's results are in the form of scheduling performance metrics. © 2009 IEEE.

Item Type:Conference or Workshop Item (Paper)
Uncontrolled Keywords:CPU scheduling; CPU scheduling algorithms; Design and Development; Efficient scheduling; Hybrid scheduling; Hybrid scheduling algorithms; Multiple program; Multiple user; Operating system; Operating systems; Process management; Process scheduling; Queue scheduling; Resource scheduling; Resource sharing; Resource utilizations; Scheduling performance; Sharing systems; Software tool; System process; Computer operating systems; Computer science; Information technology; Multiprogramming; Scheduling algorithms
Subjects:Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE:Departments > Computer Information Sciences
ID Code:152
Deposited By: Prof Dr Oxley Alan
Deposited On:24 Feb 2010 14:30
Last Modified:19 Jan 2017 08:25

Repository Staff Only: item control page

Document Downloads

More statistics for this item...