An overview of routing optimization for internet traffic engineering

N Wang, KH Ho, G Pavlou… - … Surveys & Tutorials, 2008 - ieeexplore.ieee.org
Traffic engineering is an important mechanism for Internet network providers seeking to
optimize network performance and traffic delivery. Routing optimization plays a key role in …

A survey of fast-recovery mechanisms in packet-switched networks

M Chiesa, A Kamisiński, J Rak… - … Surveys & Tutorials, 2021 - ieeexplore.ieee.org
In order to meet their stringent dependability requirements, most modern packet-switched
communication networks support fast-recovery mechanisms in the data plane. While …

Jupiter evolving: transforming google's datacenter network via optical circuit switches and software-defined networking

L Poutievski, O Mashayekhi, J Ong, A Singh… - Proceedings of the …, 2022 - dl.acm.org
We present a decade of evolution and production experience with Jupiter datacenter
network fabrics. In this period Jupiter has delivered 5x higher speed and capacity, 30 …

Melding the data-decisions pipeline: Decision-focused learning for combinatorial optimization

B Wilder, B Dilkina, M Tambe - Proceedings of the AAAI Conference on …, 2019 - aaai.org
Creating impact in real-world settings requires artificial intelligence techniques to span the
full pipeline from data, to predictive models, to decisions. These components are typically …

B4: Experience with a globally-deployed software defined WAN

S Jain, A Kumar, S Mandal, J Ong… - ACM SIGCOMM …, 2013 - dl.acm.org
We present the design, implementation, and evaluation of B4, a private WAN connecting
Google's data centers across the planet. B4 has a number of unique characteristics: i) …

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 …

Smart predict-and-optimize for hard combinatorial optimization problems

J Mandi, PJ Stuckey, T Guns - Proceedings of the AAAI conference on …, 2020 - aaai.org
Combinatorial optimization assumes that all parameters of the optimization problem, eg the
weights in the objective function, are fixed. Often, these weights are mere estimates and …

MicroTE: Fine grained traffic engineering for data centers

T Benson, A Anand, A Akella, M Zhang - Proceedings of the seventh …, 2011 - dl.acm.org
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 …

Generalized correlation-based dynamical network analysis: a new high-performance approach for identifying allosteric communications in molecular dynamics …

MCR Melo, RC Bernardi… - The Journal of …, 2020 - pubs.aip.org
Molecular interactions are essential for regulation of cellular processes from the formation of
multi-protein complexes to the allosteric activation of enzymes. Identifying the essential …

{Semi-oblivious} traffic engineering: The road not taken

P Kumar, Y Yuan, C Yu, N Foster, R Kleinberg… - … USENIX Symposium on …, 2018 - usenix.org
Networks are expected to provide reliable performance under a wide range of operating
conditions, but existing traffic engineering (TE) solutions optimize for performance or …