EconStor >
Universität Duisburg-Essen (UDE) >
Institut für Informatik und Wirtschaftsinformatik (ICB), Universität Duisburg-Essen >
ICB Research Reports, Institut für Informatik und Wirtschaftsinformatik (ICB), Universität Duisburg-Essen >

Please use this identifier to cite or link to this item:

Full metadata record

DC FieldValueLanguage
dc.contributor.authorTilev, Milenen_US
dc.contributor.authorMüller-Clostermann, Brunoen_US
dc.description.abstractCapacity planning for large-scale systems like mainframe installations is typically based on rather coarse historical workload data. Hence, it is advisable to employ techniques and tools that use the same macroscopic (high-level) view of the overall system. We follow the classic approach known from performance modelling to compose a model essentially out of two parts, the system model (or machine) and the workload model. The system model is an aggregated mainframe system model that is focussed primarily on processing resources that are given by processors of different types (i.e. general all purpose processors and processors dedicated to Java, Linux, Database and others) and their processing capacity given by scaling tables. The workload model follows the structuring given by logical partitions and is built from historical utilization data that are permanently collected during normal operation. Based on this framework it is possible to define and improve the allocation of logical partitions to processors or processor pools. Employing the CapSys tool the designer can interactively vary the configuration of processor pools as well as the shape and intensity of the workloads to be allocated. In this report we describe background, architecture and functionality of the CapSys tool.en_US
dc.publisherICB Essenen_US
dc.relation.ispartofseriesICB-Research Report 26en_US
dc.subject.keywordCapacity Planningen_US
dc.subject.keywordWorkload Managementen_US
dc.titleCapSys: A tool for macroscopic capacity planning of IBM mainframe systemsen_US
dc.typeWorking Paperen_US
Appears in Collections:ICB Research Reports, Institut für Informatik und Wirtschaftsinformatik (ICB), Universität Duisburg-Essen

Files in This Item:
File Description SizeFormat
715991868.pdf1.29 MBAdobe PDF
No. of Downloads: Counter Stats
Show simple item record
Download bibliographical data as: BibTeX

Items in EconStor are protected by copyright, with all rights reserved, unless otherwise indicated.