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VM performance evaluation with functional models: An optimist's outlook

Sinschek, Jan ; Sewe, Andreas ; Mezini, Mira (2009)
VM performance evaluation with functional models: An optimist's outlook.
Third Workshop on Virtual Machines and Intermediate Languages. Orlando, FL, USA
doi: 10.1145/1711506.1711512
Konferenzveröffentlichung, Bibliographie

Kurzbeschreibung (Abstract)

The performance evaluation of virtual machines is notoriously difficult. Therefore, experimental methodology has recently drawn attention, leading to proposals on how to choose benchmarks, interpret results, and detect measurement bias. But this latter task currently relies on the presence of anomalous measurement results, i.e., on outliers, to raise suspicion. We therefore propose the use of functional performance models to detect bias even when benchmark results might appear unsuspicious. Failure to validate the model indicates either bias or a need to refine the model.

Typ des Eintrags: Konferenzveröffentlichung
Erschienen: 2009
Autor(en): Sinschek, Jan ; Sewe, Andreas ; Mezini, Mira
Art des Eintrags: Bibliographie
Titel: VM performance evaluation with functional models: An optimist's outlook
Sprache: Englisch
Publikationsjahr: 2009
Buchtitel: Proceedings of the Third Workshop on Virtual Machines and Intermediate Languages - VMIL '09
Veranstaltungstitel: Third Workshop on Virtual Machines and Intermediate Languages
Veranstaltungsort: Orlando, FL, USA
DOI: 10.1145/1711506.1711512
Kurzbeschreibung (Abstract):

The performance evaluation of virtual machines is notoriously difficult. Therefore, experimental methodology has recently drawn attention, leading to proposals on how to choose benchmarks, interpret results, and detect measurement bias. But this latter task currently relies on the presence of anomalous measurement results, i.e., on outliers, to raise suspicion. We therefore propose the use of functional performance models to detect bias even when benchmark results might appear unsuspicious. Failure to validate the model indicates either bias or a need to refine the model.

Freie Schlagworte: measurement bias, performance modeling, statistics, validation, virtual machines
Fachbereich(e)/-gebiet(e): 20 Fachbereich Informatik
20 Fachbereich Informatik > Softwaretechnik
Hinterlegungsdatum: 24 Mär 2010 14:23
Letzte Änderung: 05 Mär 2013 09:33
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