Results 31 to 40 of about 120 (93)

Solving the Supply–Demand Imbalance at Subway Stations: A Refined Facility Layout Optimisation Method Based on ECRS

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes a general model for optimising subway station facilities, providing a replicable engineering framework for solving facility layout problems in complex passenger flow environments. This model takes the ECRS (Eliminate, Combine, Rearrange, Simplify) principle in industrial engineering as its core methodology, accurately identifying ...
Wenjun Guo   +5 more
wiley   +1 more source

DCSD‐Net: Density‐Classification, Contrastive and Self‐Distillation Network for Traffic Congestion Prediction

open access: yesIET Intelligent Transport Systems, Volume 20, Issue 1, January/December 2026.
This paper proposes a traffic congestion prediction model based on traffic density classification that incorporates contrastive learning and self‐distillation. Traffic density is computed based on key traffic indicators, with congestion levels categorised accordingly.
Quan Wang   +4 more
wiley   +1 more source

Instability phenomena in underloaded packet networks with QoS schedulers

open access: yes, 2003
Instability in packet-switching networks is normally associated with overload conditions, since queueing network models show that, in simple configurations, only overload generates instability.
Ajmone Marsan M.   +4 more
core   +1 more source

An AI–Blockchain‐Based Network Optimization Framework for Energy‐Efficient Computing Systems

open access: yesIET Networks, Volume 15, Issue 1, January/December 2026.
This paper presents AIBLOCK, an AI–blockchain‐based network optimisation framework that enables energy‐efficient and self‐optimising operation in large‐scale distributed computing networks. By integrating multi‐agent reinforcement learning with real‐time blockchain telemetry, the framework adaptively adjusts consensus parameters such as the block size,
Udit Mamodiya   +4 more
wiley   +1 more source

Cybersecurity Driven Quantum Digital Twin for Proactive Threat Reversal in Open RAN

open access: yesIET Quantum Communication, Volume 7, Issue 1, January/December 2026.
This paper presents a novel cybersecurity‐driven quantum digital twin (CQDT) architecture for proactive defence in 6G Open RAN. By integrating quantum observables and reinforcement learning, the framework maintains high fidelity and suppresses entropy under adversarial CPTP noise. CQDT achieves real‐time adaptation with sub‐20 ms latency, meeting URLLC
Yassir Al‐Karawi   +2 more
wiley   +1 more source

Stability of Networks and Protocols in the Adversarial Queueing Model for Packet Routing

open access: yes, 1997
The adversarial queueing theory model for packet routing was suggested by Borodin et al. [2]. We give a complete and simple characterization of all networks that are universally stable in this model.
Ashish Goel
core  

Optimal Control for Generalized Network-Flow Problems [PDF]

open access: yes, 2018
We consider the problem of throughput-optimal packet dissemination, in the presence of an arbitrary mix of unicast, broadcast, multicast, and anycast traffic, in an arbitrary wireless network.
Abhishek Sinha   +3 more
core   +1 more source

The natural work-stealing algorithm is stable [PDF]

open access: yes
In this paper we analyse a very simple dynamic work-stealing algorithm. In the work-generation model, there are n generators which are arbitrarily distributed among a set of n processors.
Berenbrink, Petra   +2 more
core  

Performance of Scheduling Policies and Networks in Generalizad Adversarial Queueing Models [PDF]

open access: yes, 2008
Esta tesis estudia problemas generados en redes de colas haciendo un an´alisis de peor caso. Para esto se basa en un modelo de adversario llamado Adversarial Queueing Theory (AQT).
Thraves Caro, Christopher Brian
core  

Deciding the FIFO Stability of Networks in Polynomial Time

open access: yes, 2005
FIFO is the most prominent queueing strategy due to its simplicity and the fact that it only works with local information. Its analysis within the adversarial queueing theory however has shown, that there are networks that are not stable under the FIFO
Johann Wolfgang Goethe-universität   +1 more
core   +1 more source

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