An empirical comparison of generators for self similar simulated traffic
Performance Evaluation
Multiclass G/M/1 queueing system with self-similar input and non-preemptive priority
Computer Communications
Approximating sliding windows by cyclic tree-like histograms for efficient range queries
Data & Knowledge Engineering
Analysis of scheduling policies under correlated job sizes
Performance Evaluation
Research: Congestion avoidance in high speed interconnected voice data traffic LANs
Computer Communications
A study of the burstiness of combined MPEG video and audio bitstreams
Computer Communications
A scalable and collision-free MAC protocol for all-optical ring networks
Computer Communications
Traffic policing in ATM networks with multimedia traffic: the super leaky bucket
Computer Communications
A Pareto-modulated Poisson process (PMPP) model for long-range dependent traffic
Computer Communications
Automatic network intrusion detection: Current techniques and open issues
Computers and Electrical Engineering
Observer effect from stateful resources in agent sensing
Autonomous Agents and Multi-Agent Systems
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The authors examine the phenomenon of congestion to better understand the congestion management techniques that will be needed in high-speed, cell-based networks. The first step of this study is to use high time-resolution local area network (LAN) traffic data to explore the nature of LAN traffic variability. Then the data are used for a trace-driven simulation of a connectionless service that provides LAN interconnection. The simulation allows one to characterize what congestion might look like in a high-speed, cell-based network. When realistic data are applied to simple models of LAN interconnection, it is observed that during periods, congestion persists and losses can be significant; congestion losses cannot be avoided by modest increases in buffer capacity; consequences of misengineering can be serious; and, fortunately, most congested periods are preceded by signs of impending danger