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A Multilayer Model of Computer Networks [PDF]

International Journal of Computer Trends and Technology (IJCTT) V26(1):12-16, August 2015, 2015
The fundamental concept of applying the system methodology to network analysis declares that network architecture should take into account services and applications which this network provides and supports. This work introduces a formal model of computer networks on the basis of the hierarchical multilayer networks.
arxiv   +1 more source

Computing Power Network: A Survey [PDF]

arXiv, 2022
With the rapid development of cloud computing, edge computing, and smart devices, computing power resources indicate a trend of ubiquitous deployment. The traditional network architecture cannot efficiently leverage these distributed computing power resources due to computing power island effect.
arxiv  

SOAR: Minimizing Network Utilization with Bounded In-network Computing [PDF]

arXiv, 2021
In-network computing via smart networking devices is a recent trend for modern datacenter networks. State-of-the-art switches with near line rate computing and aggregation capabilities are developed to enable, e.g., acceleration and better utilization for modern applications like big data analytics, and large-scale distributed and federated machine ...
arxiv  

Analysis of network by generalized mutual entropies [PDF]

, 2007
Generalized mutual entropy is defined for networks and applied for analysis of complex network structures. The method is tested for the case of computer simulated scale free networks, random networks, and their mixtures. The possible applications for real network analysis are discussed.
arxiv   +1 more source

Guaranteed Quantization Error Computation for Neural Network Model Compression [PDF]

arXiv, 2023
Neural network model compression techniques can address the computation issue of deep neural networks on embedded devices in industrial systems. The guaranteed output error computation problem for neural network compression with quantization is addressed in this paper. A merged neural network is built from a feedforward neural network and its quantized
arxiv  

Computation Diversity in Emerging Networking Paradigms [PDF]

, 2017
Nowadays, computation is playing an increasingly more important role in the future generation of computer and communication networks, as exemplified by the recent progress in software defined networking (SDN) for wired networks as well as cloud radio access networks (C-RAN) and mobile cloud computing (MCC) for wireless networks.
arxiv   +1 more source

Reservoir computing with simple oscillators: Virtual and real networks [PDF]

J. Phys. Commun. 2 (2018), 2018
The reservoir computing scheme is a machine learning mechanism which utilizes the naturally occuring computational capabilities of dynamical systems. One important subset of systems that has proven powerful both in experiments and theory are delay-systems.
arxiv   +1 more source

Network Report: A Structured Description for Network Datasets [PDF]

arXiv, 2022
The rapid development of network science and technologies depends on shareable datasets. Currently, there is no standard practice for reporting and sharing network datasets. Some network dataset providers only share links, while others provide some contexts or basic statistics.
arxiv  

Statistical Comparison among Brain Networks with Popular Network Measurement Algorithms [PDF]

arXiv, 2022
In this research, a number of popular network measurement algorithms have been applied to several brain networks (based on applicability of algorithms) for finding out statistical correlation among these popular network measurements which will help scientists to understand these popular network measurement algorithms and their applicability to brain ...
arxiv  

A network model with structured nodes [PDF]

, 2010
We present a network model in which words over a specific alphabet, called {\it structures}, are associated to each node and undirected edges are added depending on some distance between different structures. It is shown that this model can generate, without the use of preferential attachment or any other heuristic, networks with topological features ...
arxiv   +1 more source