A survey: Control plane scalability issues and approaches in software-defined networking (SDN)
Abstract Software-Defined Networking (SDN) architecture has emerged in response to
limitations of traditional networking architectures in satisfying today's complex networking …
limitations of traditional networking architectures in satisfying today's complex networking …
A survey on software-defined network and openflow: From concept to implementation
Software-defined network (SDN) has become one of the most important architectures for the
management of largescale complex networks, which may require repolicing or …
management of largescale complex networks, which may require repolicing or …
Elastic sketch: Adaptive and fast network-wide measurements
When network is undergoing problems such as congestion, scan attack, DDoS attack, etc.,
measurements are much more important than usual. In this case, traffic characteristics …
measurements are much more important than usual. In this case, traffic characteristics …
Inside the social network's (datacenter) network
Large cloud service providers have invested in increasingly larger datacenters to house the
computing infrastructure required to support their services. Accordingly, researchers and …
computing infrastructure required to support their services. Accordingly, researchers and …
Auto: Scaling deep reinforcement learning for datacenter-scale automatic traffic optimization
Traffic optimizations (TO, eg flow scheduling, load balancing) in datacenters are difficult
online decision-making problems. Previously, they are done with heuristics relying on …
online decision-making problems. Previously, they are done with heuristics relying on …
Congestion control for large-scale RDMA deployments
Modern datacenter applications demand high throughput (40Gbps) and ultra-low latency (<
10 μs per hop) from the network, with low CPU overhead. Standard TCP/IP stacks cannot …
10 μs per hop) from the network, with low CPU overhead. Standard TCP/IP stacks cannot …
Understanding host network stack overheads
Traditional end-host network stacks are struggling to keep up with rapidly increasing
datacenter access link bandwidths due to their unsustainable CPU overheads. Motivated by …
datacenter access link bandwidths due to their unsustainable CPU overheads. Motivated by …
CONGA: Distributed congestion-aware load balancing for datacenters
M Alizadeh, T Edsall, S Dharmapurikar… - Proceedings of the …, 2014 - dl.acm.org
We present the design, implementation, and evaluation of CONGA, a network-based
distributed congestion-aware load balancing mechanism for datacenters. CONGA exploits …
distributed congestion-aware load balancing mechanism for datacenters. CONGA exploits …
Trends in big data analytics
One of the major applications of future generation parallel and distributed systems is in big-
data analytics. Data repositories for such applications currently exceed exabytes and are …
data analytics. Data repositories for such applications currently exceed exabytes and are …
**mesh: A large-scale system for data center network latency measurement and analysis
Can we get network latency between any two servers at any time in large-scale data center
networks? The collected latency data can then be used to address a series of challenges …
networks? The collected latency data can then be used to address a series of challenges …