Implementing a Process Scheduler Using Neural Network Technology

Simple item page
dc.contributor.advisorVuurpijl, L.G.
dc.contributor.advisorPoll, E.
dc.contributor.advisorSchouten, T.E.
dc.contributor.authorBex, P.J.G.I.
dc.date.issued2008-05-19
dc.description.abstractThis Master’s thesis describes the design, implementation and evaluation of a neural network in an operating system kernel to classify processes based on their behaviour and assign scheduling priorities accordingly. The design of the system allows easy addition of features, making it an excellent platform for rapid prototyping of new scheduler features without requiring a rewrite or substantial modification of an existing scheduler.en_US
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/168
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationMaster Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeMasteren_US
dc.titleImplementing a Process Scheduler Using Neural Network Technologyen_US
Files
Original bundle
Now showing 1 - 1 of 1
Thumbnail Image
Name:
Bex, P.MScThesis.pdf
Size:
669.78 KB
Format:
Adobe Portable Document Format
Description:
Scriptietekst
Download
Collections
Faculteit der Sociale Wetenschappen