On the complexity of traffic traces and implications
This paper presents a systematic approach to identify and quantify the types of structures
featured by packet traces in communication networks. Our approach leverages an …
featured by packet traces in communication networks. Our approach leverages an …
Flow management and flow modeling in network clouds
M Malboubi, B Jiang - US Patent 10,656,960, 2020 - Google Patents
Assignment of network addresses and estimations of flow sizes associated with network
nodes can be enhanced. Assignment management component (AMC) partitions a set of …
nodes can be enhanced. Assignment management component (AMC) partitions a set of …
Traffic engineering with three-segments routing
Segment Routing (SR) is a new fertile ground for Traffic Engineering (TE). By decomposing
forwarding paths into segments, which specify a list of intermediate delivery points that a …
forwarding paths into segments, which specify a list of intermediate delivery points that a …
Network performance assessment with uniform and non-uniform nodes distribution in C+ L upgrades vs. fiber doubling SDM solutions
Both spatial-division multiplexing (SDM) and band-division multiplexing (BDM) have been
proposed to increase the traffic allocation in transparent optical networks. If available, SDM …
proposed to increase the traffic allocation in transparent optical networks. If available, SDM …
Neural network tomography
Network tomography, a classic research problem in the realm of network monitoring, refers
to the methodology of inferring unmeasured network attributes using selected end-to-end …
to the methodology of inferring unmeasured network attributes using selected end-to-end …
SDN-based control of IoT network by brain-inspired bayesian attractor model and network slicing
O Alparslan, S Arakawa, M Murata - Applied Sciences, 2020 - mdpi.com
Featured Application A software defined networking (SDN) application based on a brain-
inspired Bayesian attractor model for identification of the current traffic pattern for the …
inspired Bayesian attractor model for identification of the current traffic pattern for the …
Scalable algorithms for signal reconstruction by leveraging similarity joins
Signal reconstruction problem (SRP) is an important optimization problem where the
objective is to identify a solution to an underdetermined system of linear equations that is …
objective is to identify a solution to an underdetermined system of linear equations that is …
Network optimization for unified packet and circuit switched networks
Internet traffic continues to grow relentlessly, driven largely by increasingly high resolution
video content. Although studies have shown that the majority of packets processed by …
video content. Although studies have shown that the majority of packets processed by …
Quantifying unlinkability in multi-hop wireless networks
V Manfredi, C Donnay Hill - Proceedings of the 23rd International ACM …, 2020 - dl.acm.org
Consider a multi-hop wireless network in which devices act as anonymizing routers. Even if
devices anonymize their link transmissions, an adversary may still be able to infer key …
devices anonymize their link transmissions, an adversary may still be able to infer key …
A reactive traffic flow estimation in software defined networks
S Ren, G Tang - … 5th International Conference on Computer and …, 2020 - ieeexplore.ieee.org
Software Defined Networks paradigm decouples network control from switches and is
directly programmable. A relatively centralized control plane together with developed APIs …
directly programmable. A relatively centralized control plane together with developed APIs …