On the self-similar nature of Ethernet traffic
SIGCOMM '93 Conference proceedings on Communications architectures, protocols and applications
Experimental queueing analysis with long-range dependent packet traffic
IEEE/ACM Transactions on Networking (TON)
Foundations of queueing theory
Foundations of queueing theory
Fluid models for single buffer systems
Frontiers in queueing
Heavy Tails and Long Range Dependence in On/Off Processes and Associated Fluid Models
Mathematics of Operations Research
Tail Asymptotics for the Busy Period in the GI/G/1 Queue
Mathematics of Operations Research
Self-Similar Network Traffic and Performance Evaluation
Self-Similar Network Traffic and Performance Evaluation
A fluid queue driven by a Markovian queue
Queueing Systems: Theory and Applications
Subexponential loss rates in a GI/GI/1 queue with applications
Queueing Systems: Theory and Applications
Heavy-traffic analysis for the GI/G/1 queue with heavy-tailed distributions
Queueing Systems: Theory and Applications
The impact of a heavy-tailed service-time distribution upon the M/GI/s waiting-time distribution
Queueing Systems: Theory and Applications
An M/M/1 Driven Fluid Queue – Continued Fraction Approach
Queueing Systems: Theory and Applications
A MAP/G/1 Queue with Negative Customers
Queueing Systems: Theory and Applications
Geometric and Subexponential Asymptotics of Markov Chains of M/G/1 Type
Mathematics of Operations Research
Tail asymptotics for the queue length in an M/G/1 retrial queue
Queueing Systems: Theory and Applications
Invited Fluid queues with long-tailed activity period distributions
Computer Communications
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In this paper, an infinite-buffer fluid queue driven by an M/G/1 queue is discussed. The Laplace transform of the distribution of the stationary buffer content is expressed through the minimal positive solution to a crucial equation, similar to the fundamental equation satisfied by the busy period of an M/G/1 queue. Furthermore, the distribution of the stationary buffer content is shown to be regularly varying with index -@a+1 if the distribution of the service times is regularly varying with index -@a