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dc.contributor.advisorAmundsen, Jørn Aslaknb_NO
dc.contributor.advisorElster, Anne C.nb_NO
dc.contributor.advisorBland, Alastairnb_NO
dc.contributor.authorBraathen, Andreasnb_NO
dc.date.accessioned2014-12-19T13:30:51Z
dc.date.available2014-12-19T13:30:51Z
dc.date.created2010-09-02nb_NO
dc.date.issued2005nb_NO
dc.identifier346751nb_NO
dc.identifierntnudaim:1093nb_NO
dc.identifier.urihttp://hdl.handle.net/11250/250129
dc.description.abstractThe surveillance of computer equipment is an important task at the European Laboratory for Particle Physics (CERN). Given the nature and size of its installations, constant feedback about the health state of its hosts is vitally important to ensure the seamless operation of particle accelerators and other facilities. Historical data of errors is needed to understanding and debug these errors. This data can be used to prevent future similar errors. CERN are using a wide rage of Operating Systems running of many different types of hardware. To survey these equipment CERN need a well-tuned and scaleable applications. This thesis describes the current surveillance system (XCLUC), a new surveillance system (LEMON) and how these can be used together. This thesis also describes some important add-ons to the both surveillance system for current and future use of the surveillance systems. XCLUC is designed to use the minimal of system resources when testing the current state of the computer and when sending the results of this tests to a central server. LEMON is more a general module-based system; the system does not take into account how much of the system resources it uses. This thesis concludes that XCLUC is the best surveillance system for all the small computer equipment, like disk-less PowerPC s. LEMON has the best historical view and is the best system to also analyze previous errors. A combination of XCLUC and LEMON would make the best surveillance system of the computer equipment at CERN.nb_NO
dc.languageengnb_NO
dc.publisherInstitutt for datateknikk og informasjonsvitenskapnb_NO
dc.subjectntnudaimno_NO
dc.subjectSIF2 datateknikkno_NO
dc.subjectProgram- og informasjonssystemerno_NO
dc.titleHardware and software surveillancenb_NO
dc.typeMaster thesisnb_NO
dc.source.pagenumber94nb_NO
dc.contributor.departmentNorges teknisk-naturvitenskapelige universitet, Fakultet for informasjonsteknologi, matematikk og elektroteknikk, Institutt for datateknikk og informasjonsvitenskapnb_NO


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