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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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,...
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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...
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Combinatorial refinement on circulant graphs
The combinatorial refinement techniques have proven to be an efficient approach to isomorphism testing for particular classes of graphs. If the...
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Sublinear Algorithms in T-Interval Dynamic Networks
We consider standard T - interval dynamic networks , under the synchronous timing model and the broadcast CONGEST model. In a T - interval dynamic network ,...
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Extract Implicit Semantic Friends and Their Influences from Bipartite Network for Social Recommendation
Social recommendation often incorporates trusted social links with user-item interactions to enhance rating prediction. Although methods that...
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The NP-hard problem of computing the maximal sample variance over interval data is solvable in almost linear time with a high probability
We consider the algorithm by Ferson et al. (Reliab Comput 11(3):207--233, 2005) designed for solving the NP-hard problem of computing the maximal...
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Stagnation Detection in Highly Multimodal Fitness Landscapes
Stagnation detection has been proposed as a mechanism for randomized search heuristics to escape from local optima by automatically increasing the...
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Multi-view Heterogeneous Graph Neural Networks for Node Classification
Recently, with graph neural networks (GNNs) becoming a powerful technique for graph representation, many excellent GNN-based models have been...
