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Cloud control with distributed rate limiting
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A scalable, commodity data center network architecture
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VL2: a scalable and flexible data center network
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c-Through: part-time optics in data centers
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Case study for running HPC applications in public clouds
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Reining in the outliers in map-reduce clusters using Mantri
OSDI'10 Proceedings of the 9th USENIX conference on Operating systems design and implementation
Sharing the data center network
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Dominant resource fairness: fair allocation of multiple resource types
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Towards predictable datacenter networks
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FairCloud: sharing the network in cloud computing
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
The only constant is change: incorporating time-varying network reservations in data centers
Proceedings of the ACM SIGCOMM 2012 conference on Applications, technologies, architectures, and protocols for computer communication
FairCloud: sharing the network in cloud computing
ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12
The only constant is change: incorporating time-varying network reservations in data centers
ACM SIGCOMM Computer Communication Review - Special october issue SIGCOMM '12
What we talk about when we talk about cloud network performance
ACM SIGCOMM Computer Communication Review
Bridging the gap between applications and networks in data centers
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Chatty tenants and the cloud network sharing problem
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
ElasticSwitch: practical work-conserving bandwidth guarantees for cloud computing
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
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The performance and cost for tenants in today's datacenters depends on the location of their virtual machines within the datacenter. However, a tenant's location is a knob for the provider and is of no interest to the tenant. Hence, this paper argues for location independent tenant costs in datacenters. We show how a change in today's IaaS offerings, coupled with a simple pricing scheme, can achieve this. We discuss how such a pricing model can be implemented and show that the consequent increase in system throughput can lead to a win-win situation- tenant costs are location independent and lower while provider revenue increases too.