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A roadmap for traffic engineering in SDN-OpenFlow networks
Abstract Software Defined Networking (SDN) is an emerging networking paradigm that
separates the network control plane from the data forwarding plane with the promise to …
separates the network control plane from the data forwarding plane with the promise to …
Operational Research: methods and applications
Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …
models and algorithms that have been applied to a wide range of contexts. This …
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 …
Network planning with deep reinforcement learning
Network planning is critical to the performance, reliability and cost of web services. This
problem is typically formulated as an Integer Linear Programming (ILP) problem. Today's …
problem is typically formulated as an Integer Linear Programming (ILP) problem. Today's …
On removing routing protocol from future wireless networks: A real-time deep learning approach for intelligent traffic control
Recently, deep learning has appeared as a breakthrough machine learning technique for
various areas in computer science as well as other disciplines. However, the application of …
various areas in computer science as well as other disciplines. However, the application of …
MicroTE: Fine grained traffic engineering for data centers
The effects of data center traffic characteristics on data center traffic engineering is not well
understood. In particular, it is unclear how existing traffic engineering techniques perform …
understood. In particular, it is unclear how existing traffic engineering techniques perform …
Dynamically specifying multiple public cloud edge nodes to connect to an external multi-computer node
Some embodiments establish for an entity a virtual network over several public clouds of
several public cloud providers and/or in several regions. In some embodiments, the virtual …
several public cloud providers and/or in several regions. In some embodiments, the virtual …
Efficiently embedding service function chains with dynamic virtual network function placement in geo-distributed cloud system
Network Function Virtualization (NFV) and Software-Defined Networks (SDN) enable
Internet Service Providers (ISPs) to place Virtual Network Functions (VNFs) to achieve the …
Internet Service Providers (ISPs) to place Virtual Network Functions (VNFs) to achieve the …
Load balancing in data center networks: A survey
Data center networks usually employ the scale-out model to provide high bisection
bandwidth for applications. A large amount of data is required to be transferred frequently …
bandwidth for applications. A large amount of data is required to be transferred frequently …
Machine learning meets communication networks: Current trends and future challenges
The growing network density and unprecedented increase in network traffic, caused by the
massively expanding number of connected devices and online services, require intelligent …
massively expanding number of connected devices and online services, require intelligent …