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   	<dc:title>E-State: Distributed state management in elastic network function deployments</dc:title>
   	<dc:creator>Peuster, Manuel</dc:creator>
   	<dc:creator>Karl, Holger</dc:creator>
   	<dc:subject>ddc:000</dc:subject>
   	<dc:description>Elastic deployments of virtualized network functions~(VNF) can automatically scale the amount of used resources in relation to their workload. This is often done by starting new VNF instances or stopping old ones. A problem of these scale operations is that most network functions are stateful and their internal state is not automatically migrated when traffic is redistributed in the deployment. As a result, mechanisms are needed to exchange or migrate internal network function state between VNF instances.

This paper presents a state management framework that creates a logically distributed state store on top of elastically deployed virtual network functions. We also introduce a novel programming model that provides both a local and a global view of the state to each VNF instance. We discuss the integration of our framework into existing network function virtualization architectures and compare the performance of our prototype to a centralized and a distributed state store solution.</dc:description>
   	<dc:date>2016</dc:date>
   	<dc:type>info:eu-repo/semantics/conferenceObject</dc:type>
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   	<dc:type>text</dc:type>
   	<dc:type>http://purl.org/coar/resource_type/c_5794</dc:type>
   	<dc:identifier>https://ris.uni-paderborn.de/record/732</dc:identifier>
   	<dc:identifier>https://ris.uni-paderborn.de/download/732/3354</dc:identifier>
   	<dc:source>Peuster M, Karl H. E-State: Distributed state management in elastic network function deployments. In: &lt;i&gt;IEEE NetSoft Conference and Workshops, NetSoft 2016, Seoul, South Korea, June 6-10, 2016&lt;/i&gt;. ; 2016:6--10. doi:&lt;a href=&quot;https://doi.org/10.1109/NETSOFT.2016.7502432&quot;&gt;10.1109/NETSOFT.2016.7502432&lt;/a&gt;</dc:source>
   	<dc:language>eng</dc:language>
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