OpenFlow: enabling innovation in campus networks
ACM SIGCOMM Computer Communication Review
Virtual routers on the move: live router migration as a network-management primitive
Proceedings of the ACM SIGCOMM 2008 conference on Data communication
Can the production network be the testbed?
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Topology switching for data center networks
Hot-ICE'11 Proceedings of the 11th USENIX conference on Hot topics in management of internet, cloud, and enterprise networks and services
Live gang migration of virtual machines
Proceedings of the 20th international symposium on High performance distributed computing
VMFlock: virtual machine co-migration for the cloud
Proceedings of the 20th international symposium on High performance distributed computing
The Xen-Blanket: virtualize once, run everywhere
Proceedings of the 7th ACM european conference on Computer Systems
Abstractions for network update
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
Reproducible network experiments using container-based emulation
Proceedings of the 8th international conference on Emerging networking experiments and technologies
zUpdate: updating data center networks with zero loss
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
Applying operating system principles to SDN controller design
Proceedings of the Twelfth ACM Workshop on Hot Topics in Networks
Traffic pattern based virtual network embedding
Proceedings of the 2013 workshop on Student workhop
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Live virtual machine (VM) migration can move applications from one location to another without a disruption in service. However, applications often consist of multiple VMs and rely on the state of the underlying network for basic reachability, access control, and QoS functionality. Rather than migrating an individual VM, we show how to migrate an ensemble---the VMs, the network, and the management system---to a different set of physical resources. Our LIME (LIve Migration of Ensembles) design leverages recent advances in Software Defined Networking (SDN) for a clear separation between the controller and the data-plane state in the switches. Transparent to the application running on the controller, LIME clones the data-plane state to a new set of switches, and then incrementally migrates the traffic sources (e.g., the VMs). During this transition, both networks deliver traffic and LIME maintains synchronized state. Experiments with our initial prototype, built on the Floodlight OpenFlow controller, suggest that network migration does not have to be a disruptive, middle-of-the-night maintenance event, but can become an integral network management mechanism completely transparent to applications.