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Published on Nov 20, 2015
Presented by: James H. Chou, IBM
OVN brings much-needed support for a native virtualization layer to the datacenter, with the goal of providing native support for virtual networking abstractions that are production quality and can scale. But how much can it really scale? Ideally we'd like to have just one virtual network fabric in a data center, but that seems unachievable with the current design - the OVN architecture paper describes a network consisting of a mere few thousands of servers as a large network.
We describe our observations of OVN behavior both in actual (test) OpenStack deployments of various sizes as well as the test harness we use to simulate logical and physical networks of various sizes. Our focus is on characterizing the growth characteristics in CPU, filesystem I/O, and network traffic with the growth in number of chassis, focusing both on initial power-on (following, say, an unexpected power loss to multiple racks of servers) as well as performance changes due to logical network changes as the number of chassis grows. We pinpoint bottlenecks in OVN, both expected (ovsdb-server) and unexpected, with the goal of identifying areas which must be improved in order to provide high availability and scalability to at least tens, if not hundreds, of thousands of servers.
This abstract describes work which is getting underway. We expect to have results before the conference.