NDLI: Performance Modeling of Concurrent Live Migration Operations in Cloud Computing Systems Using PRISM Probabilistic Model Checker

Content Provider	IEEE Xplore Digital Library
Author	Kikuchi, S. Matsumoto, Y.
Copyright Year	2011
Abstract	Server virtualization technologies and their live migration function contribute to the utilization of the computing resources in cloud datacenters. However, many management operations for virtual machines (VMs) including live migrations can be evoked by many cloud users at anytime. The outburst of executions of live migration operations can deteriorate migration performance and make it difficult to provide required resources to users in a timely manner. Therefore, understanding the behaviors and the performance of simultaneous live migrations is very important to provide efficient and reliable cloud computing services. In this paper, we construct a performance model of concurrent live migrations in virtualized datacenters. We first collect performance data from an experimental virtualized system in which we execute simultaneous live migrations. Based on the data, we next construct a performance model representing the performance characteristics of live migration using PRISM, a probabilistic model checker. We then demonstrate that we can easily verify the properties described in PRISM language regarding live migration performance using this model.
Starting Page	49
Ending Page	56
File Size	508294
Page Count	8
File Format	PDF
ISBN	9781457708367
ISSN	21596190
DOI	10.1109/CLOUD.2011.48
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-07-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Cloud computing Formal method Computational modeling Operation performance Virtual machine Receivers Probabilistic logic Servers System management operations Logic gates Model checking Datacenter Queueing analysis Livemigration
Content Type	Text
Resource Type	Article

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