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Evolution of the Internet Topology and Traffic Dynamics of Data Packets
In recent years, the Internet has become one of the most influential media in our daily life, going beyond in its role as the basic infrastructure in... -
Synchronization in Complex Networks
The study of complex systems pervades all of science, from cell biology to ecology, from computer science to meteorology. A paradigm of a complex... -
Data Traffic, Topology and Congestion
We consider the interaction between the topology of a network and the tra.c carried along its channels. The binding elements between the topology and... -
Nonlinear Instabilities in TCP-RED
With the growing size and popularity of the Internet, congestion control has emerged as an important problem. Poor management of congestion can... -
Dynamics of Congestion Control
One reason for the success of TCP and its widespread usage in the Internet is its ability to control network congestion. A TCP source uses implicit... -
Statistical Properties of Chaos in Communication Networks
The behavior of communication networks, like the Internet is complex in many ways. This complexity may have many origins, including the topology of... -
Modeling TCP/RED: a Dynamical Approach
Today’s Internet applications, such as World Wide Web, file transfer, Usenet news, and remote login, are delivered via Transmission Control Protocol... -
On Dynamics of Transport Protocols Over Wide-Area Internet Connections
The Transport Control Protocol (TCP) is widely deployed over the Internet for reliably transporting data [27], and it accounts for a significant... -
Dynamic Complexity in the Internet Traffic
The Internet is one of the most enormous autonomously distributed network systems created by human being. There is no central control in the Internet... -
Macroscopic Dynamics in Large-Scale Data Networks
Modern society grows increasingly reliant on the Internet, a network of global reach that supports many services and clients. However, in such a... -
Chaos-Based Generation of Arti.cial Self-Similar Traffic
The exploitation of the unique features of chaotic dynamics for performance improvement recently became a widely followed path in several field of... -
Dynamical Properties of Externally Driven TCP traffic
One of the most influential achievements of the last sanctuary was the emergence of a decentralized, highly heterogenous, global communication... -
Modelling the Complex Internet Topology
Internet is one of the most impressive creatures of our civilization; it has literally changed the ways we do business, communication, education,... -
Nonlinear Dynamics of TCP and its Implications to Network Performance
TCP flows continuously intertwine in the Internet competing with each other for service capacity and buffer space in bottleneck routers. The window... -
Information flow control for comparative privacy analyses
The prevalence of web tracking and its key characteristics have been extensively investigated by the research community by means of large-scale web...
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Trust attack prevention based on Spark-blockchain in social IoT: a survey
Integrating the Internet of Things (IoT) with Social Networks (SN) has given rise to a new paradigm called Social IoT, which allows users and objects...
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Explicit constructions of NMDS self-dual codes
Near maximum distance separable (NMDS) codes are important in finite geometry and coding theory. Self-dual codes are closely related to...
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M2AST:MLP-mixer-based adaptive spatial-temporal graph learning for human motion prediction
Human motion prediction is a challenging task in human-centric computer vision, involving forecasting future poses based on historical sequences....
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Progress on half a century of process modelling research in steelmaking: a review
Process modelling in steelmaking started from mid-sixties and witnessed rapid growth and wide spread applications during the last fifty years or so....
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Global adaptive histogram feature network for automatic segmentation of infection regions in CT images
Accurate and timely diagnosis of COVID-like virus is of paramount importance for lifesaving. In this work, deep learning techniques are applied to...