OpenFlow: enabling innovation in campus networks
ACM SIGCOMM Computer Communication Review
NOX: towards an operating system for networks
ACM SIGCOMM Computer Communication Review
pMapper: power and migration cost aware application placement in virtualized systems
Proceedings of the 9th ACM/IFIP/USENIX International Conference on Middleware
Network-aware migration control and scheduling of differentiated virtual machine workloads
CLOUD '09 Proceedings of the 2009 ICSE Workshop on Software Engineering Challenges of Cloud Computing
Cost-aware live migration of services in the cloud
Proceedings of the 3rd Annual Haifa Experimental Systems Conference
Improving the scalability of data center networks with traffic-aware virtual machine placement
INFOCOM'10 Proceedings of the 29th conference on Information communications
Mistral: Dynamically Managing Power, Performance, and Adaptation Cost in Cloud Infrastructures
ICDCS '10 Proceedings of the 2010 IEEE 30th International Conference on Distributed Computing Systems
ICPP '10 Proceedings of the 2010 39th International Conference on Parallel Processing
Predicting the Performance of Virtual Machine Migration
MASCOTS '10 Proceedings of the 2010 IEEE International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Minimum congestion mapping in a cloud
Proceedings of the 30th annual ACM SIGACT-SIGOPS symposium on Principles of distributed computing
VMFlow: leveraging VM mobility to reduce network power costs in data centers
NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
VMPatrol: dynamic and automated QoS for virtual machine migrations
Proceedings of the 8th International Conference on Network and Service Management
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Steady state VM management in data centers should be network-aware so that VM migrations do not degrade network performance of other flows in the network, and if required, a VM migration can be intelligently orchestrated to decongest a network hotspot. Recent research in network-aware management of VMs has focused mainly on an optimal network-aware initial placement of VMs and has largely ignored steady state management. In this context, we present the design and implementation of Remedy. Remedy ranks target hosts for a VM migration based on the associated cost of migration, available bandwidth for migration and the network bandwidth balance achieved by a migration. It models the cost of migration in terms of additional network traffic generated during migration. We have implemented Remedy as an OpenFlow controller application that detects the most congested links in the network and migrates a set of VMs in a network-aware manner to decongest these links. Our choice of target hosts ensures that neither the migration traffic nor the flows that get rerouted as a result of migration cause congestion in any part of the network. We validate our cost of migration model on a virtual software testbed using real VM migrations. Our simulation results using real data center traffic data demonstrate that selective network aware VM migrations can help reduce unsatisfied bandwidth by up to 80-100%.