TY - GEN
T1 - Network-aware placement of virtual machine ensembles using effective bandwidth estimation
AU - Wang, Runxin
AU - Esteves, Rafael
AU - Shi, Lei
AU - Wickboldt, Juliano Araujo
AU - Jennings, Brendan
AU - Granville, Lisandro Zambenedetti
N1 - Publisher Copyright:
© 2014 IFIP.
PY - 2014/1/16
Y1 - 2014/1/16
N2 - Modern datacenters rely heavily on virtualization technologies to offer customized computing and network resources on demand to a large number of tenant applications. However, efficiency in resource utilization delivered by virtualization technologies that exploit statistical multiplexing of resources across applications means that predictability in performance remains a challenge. Allocation of network bandwidth is particularly difficult, given the variability of traffic flows between the components of multi-tier applications. Static bandwidth allocation based on peak traffic rates ensures SLA compliance at the cost of significant overprovisioning, while allocation based on mean traffic rates ensures efficient usage of bandwidth at the cost of QoS violations. We describe MAPLE, a network-aware VM ensemble placement scheme that uses empirical estimations of the effective bandwidth required between servers to ensure that QoS violations are within targets specified in the SLA for the tenant application. Experimental results obtained using traffic traces collected from an emulated datacenter show that, in contrast to the Oktopus network-aware VM placement system, MAPLE is able to allocate computing and network resources in a manner that balances efficiency of resource utilization with performance predictability.
AB - Modern datacenters rely heavily on virtualization technologies to offer customized computing and network resources on demand to a large number of tenant applications. However, efficiency in resource utilization delivered by virtualization technologies that exploit statistical multiplexing of resources across applications means that predictability in performance remains a challenge. Allocation of network bandwidth is particularly difficult, given the variability of traffic flows between the components of multi-tier applications. Static bandwidth allocation based on peak traffic rates ensures SLA compliance at the cost of significant overprovisioning, while allocation based on mean traffic rates ensures efficient usage of bandwidth at the cost of QoS violations. We describe MAPLE, a network-aware VM ensemble placement scheme that uses empirical estimations of the effective bandwidth required between servers to ensure that QoS violations are within targets specified in the SLA for the tenant application. Experimental results obtained using traffic traces collected from an emulated datacenter show that, in contrast to the Oktopus network-aware VM placement system, MAPLE is able to allocate computing and network resources in a manner that balances efficiency of resource utilization with performance predictability.
UR - http://www.scopus.com/inward/record.url?scp=84922788578&partnerID=8YFLogxK
U2 - 10.1109/CNSM.2014.7014146
DO - 10.1109/CNSM.2014.7014146
M3 - Conference contribution
AN - SCOPUS:84922788578
T3 - Proceedings of the 10th International Conference on Network and Service Management, CNSM 2014
SP - 100
EP - 108
BT - Proceedings of the 10th International Conference on Network and Service Management, CNSM 2014
A2 - Raz, Danny
A2 - Nogueira, Michele
A2 - Madeira, Edmundo Roberto Mauro
A2 - Jennings, Brendan
A2 - Granville, Lisandro Zambenedetti
A2 - Gaspary, Luciano Paschoal
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 10th International Conference on Network and Service Management, CNSM 2014
Y2 - 17 November 2014 through 21 November 2014
ER -