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A Performance Model for Maintenance Tasks in an Environment of Virtualized Servers
Van Do, Tien; Krieger, Udo R. (2026): A Performance Model for Maintenance Tasks in an Environment of Virtualized Servers, in: Bamberg: Otto-Friedrich-Universität, S. 931–942.
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Year of publication:
2026
Pages:
Source/Other editions:
Luigi Fratta, Henning Schulzrinne, Yutaka Takahashi, u. a. (Hrsg.), NETWORKING 2009 : 8th International IFIP-TC 6 Networking Conference, Aachen, Germany, May 11 - 15, 2009 ; proceedings, Berlin ; Heidelberg ; New York, NY: Springer, 2009, S. 931–942, ISBN: 978-3-642-01398-0, 978-3-642-01399-7
Year of first publication:
2009
Language:
English
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Abstract:
This paper introduces the CPP/M/c model with working vacations to describe queueing phenomena that arise in an advanced computing environment of virtualized servers operated by the infrastructure owners. In the proposed queue the inter-arrival times of jobs requesting servers follow a Generalized Exponential distribution. To model a maintenance activity, we assume that a certain number of servers simultaneously goes to a maintenance state for a random period when they complete the service of requests and find no further jobs in the waiting line. We derive an expression for the steady-state probabilities and prove a conditional stochastic decomposition property. By a relatively simple model we are able to prove a property which has a significant impact on the organization of maintenance activities of virtualized servers. It means that instead of migrating virtual servers to expensive physical backup servers during software maintenance, a wise and simple strategy based on the vacation approach can be used. Moreover, it is theoretically proved that the system is not overloaded if we organize the maintenance according to the vacation model. We believe that our model can be useful for administrators to choose an appropriate parameter set for the maintenance activities.
Keywords: ; ; ;
Virtualized services
performance management
CPP/M/c model
working vacations policy
Type:
Conferenceobject
Activation date:
April 24, 2026
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https://fis.uni-bamberg.de/handle/uniba/114815