Cloud control with distributed rate limiting
Proceedings of the 2007 conference on Applications, technologies, architectures, and protocols for computer communications
The cost of a cloud: research problems in data center networks
ACM SIGCOMM Computer Communication Review
PortLand: a scalable fault-tolerant layer 2 data center network fabric
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
VL2: a scalable and flexible data center network
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
Understanding data center traffic characteristics
ACM SIGCOMM Computer Communication Review
Hedera: dynamic flow scheduling for data center networks
NSDI'10 Proceedings of the 7th USENIX conference on Networked systems design and implementation
SecondNet: a data center network virtualization architecture with bandwidth guarantees
Proceedings of the 6th International COnference
TritonSort: a balanced large-scale sorting system
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Sharing the data center network
Proceedings of the 8th USENIX conference on Networked systems design and implementation
Towards predictable datacenter networks
Proceedings of the ACM SIGCOMM 2011 conference
Improving datacenter performance and robustness with multipath TCP
Proceedings of the ACM SIGCOMM 2011 conference
Matching output queueing with a combined input/output-queued switch
IEEE Journal on Selected Areas in Communications
An experimental study of cascading performance interference in a virtualized environment
ACM SIGMETRICS Performance Evaluation Review
Chatty tenants and the cloud network sharing problem
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
EyeQ: practical network performance isolation at the edge
nsdi'13 Proceedings of the 10th USENIX conference on Networked Systems Design and Implementation
Achieving high utilization with software-driven WAN
Proceedings of the ACM SIGCOMM 2013 conference on SIGCOMM
Channel reservation protocol for over-subscribed channels and destinations
SC '13 Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis
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The shared multi-tenant nature of the cloud has raised serious concerns about its security and performance for high valued services. Of many shared resources like CPU, memory, etc., the network is pivotal for distributed applications. Benign, or perhaps malicious traffic interference between tenants can cause significant performance degradation that hurts performance of applications, and hence, impacts their revenue. Network performance isolation is particularly hard because of the distributed nature of the problem, and the short (few RTT) timescales at which they manifest themselves. This problem is further exacerbated by the large number of competing entities in the cloud, and their volatile traffic patterns. In this paper, we motivate the design of our system called EyeQ, with the goal of providing predictable network performance to tenants. The enabler for EyeQ is the availability of high bisection bandwidth in data centers. The key insight is that by leaving a headroom of (say) 10% of access link bandwidth, EyeQ simplifies dealing with potentially a global contention problem into one that is mostly local, at the sender and receiver. This allows EyeQ to enforce predictable network sharing completely at the end hosts, with minimum support from the physical network.