PROCESS SCHEDULING IN LONGEST JOB FIRST (LJF) ALGORITHM: A Proposed framework for Starvation Problem

dc.contributor.authorABDULLAHI, Ibrahim
dc.date.accessioned2014-02-07T10:57:48Z
dc.date.available2014-02-07T10:57:48Z
dc.date.issued2013-10
dc.descriptionA Thesis submitted to the School of Postgraduate Studies, Ahmadu Bello University, Zaria In partial fulfilment of the requirements for the Award of Masters Degree in Computer Science. Department of Mathematics, Faculty of Science Ahmadu Bello University, Zaria, Nigeriaen_US
dc.description.abstractProcess as an individualistic program in execution forms the bases of everything in the computer system functionality, Central Processing Unit (CPU) becomes the main target of every process execution. The best ordering and sequence of assigning these processes to the CPU becomes the most difficult problem to obtain best performances. This thesis work in the field of CPU scheduling by carefully studying all popular scheduling algorithms thereby proposing an option to the most uncommon scheduling algorithm: Longest Job First (LJF), to compete along side others. The major problem leading to starvation was reduced by proposing a model into the LJF. The model was designed and tested thereby suggesting ways by which LJF could be enhanced to solve parts of the starvation problems, waiting times and context switches.en_US
dc.identifier.urihttp://hdl.handle.net/123456789/665
dc.language.isoenen_US
dc.subjectPROCESSen_US
dc.subjectSCHEDULINGen_US
dc.subjectLONGESTen_US
dc.subjectJOBen_US
dc.subjectFIRSTen_US
dc.subjectALGORITHMen_US
dc.subjectProposeden_US
dc.subjectframeworken_US
dc.subjectStarvationen_US
dc.subjectProblemen_US
dc.titlePROCESS SCHEDULING IN LONGEST JOB FIRST (LJF) ALGORITHM: A Proposed framework for Starvation Problemen_US
dc.typeThesisen_US
Files
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Process_Page.pdf
Size:
5.77 MB
Format:
Adobe Portable Document Format
Description:
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.58 KB
Format:
Item-specific license agreed upon to submission
Description:
Collections