Traffic measurements on a local area computer network

Falaki, S. O.; Sorensen, Søren-Aksel

doi:10.1016/0140-3664(92)90080-x

Cited by 8 publications

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Return interval distributions are interesting and useful for several reasons, the most important being that many problems in diverse fields can be formulated in terms of return interval statistics with wide ranging applications. For instance, the problem of recurrence time interval between earthquakes above a given magnitude [12], x-ray solar flare recurrences [13], statistics of acoustic emission from rock fractures [14], inter arrival packet times on computer and cellular networks [15] and the classical problem of Poincare recurrences in Hamiltonian systems [16] can all be formulated as extreme event questions involving return interval distribution. In a non-stationary time series, it is often difficult to reliably estimate its temporal statistical properties such as the autocorrelations or higher order correlations.…”

Section: Introductionmentioning

confidence: 99%

Return interval distribution of extreme events and long-term memory

2008

View full text Add to dashboard Cite

The distribution of recurrence times or return intervals between extreme events is important to characterize and understand the behavior of physical systems and phenomena in many disciplines. It is well known that many physical processes in nature and society display long-range correlations. Hence, in the last few years, considerable research effort has been directed towards studying the distribution of return intervals for long-range correlated time series. Based on numerical simulations, it was shown that the return interval distributions are of stretched exponential type. In this paper, we obtain an analytical expression for the distribution of return intervals in long-range correlated time series which holds good when the average return intervals are large. We show that the distribution is actually a product of power law and a stretched exponential form. We also discuss the regimes of validity and perform detailed studies on how the return interval distribution depends on the threshold used to define extreme events.

show abstract

Section: Introductionmentioning

confidence: 99%

Return interval distribution of extreme events and long-term memory

2008

View full text Add to dashboard Cite

show abstract

“…The NRT load was modeled as in [6]. Since it is difficult to simulate the complex backoff algorithm of the CSMAmode, only the RETHER-mode operation of the network was simulated.…”

Section: Simulation Resultsmentioning

confidence: 99%

Supporting real-time traffic on Ethernet

Venkatramani

Chiueh

1994

Proceedings Real-Time Systems Symposium REAL-94

View full text Add to dashboard Cite

Ethernet has been the domrnant local area network architecture in the last decade, and we believe that it will contrnue to be so because of its cost-effectiveness and the availability of higher-bandwidth Ethernets. We propose and evaiuate a software-based protocol called RETHER (Real-time ETHERnet) that provides realtame performance guarantees to multimedia applicatrons without modzfying existing Ethernet hardware. RETHER features a hybrid mode of operation to reduce the performance impact on non-real-tame network packets, a race-condition-free distributed admission control mechanism, and an efficient token-passing scheme that protects the network against token loss due to node failures.

show abstract

A congestion-avoidance scheme for LAN interconnection over high-speed networks

Hassanein

1997

Computer Communications

View full text Add to dashboard Cite

Traffic measurements on a local area computer network

Cited by 8 publications

References 5 publications

Return interval distribution of extreme events and long-term memory

Return interval distribution of extreme events and long-term memory

Supporting real-time traffic on Ethernet

A congestion-avoidance scheme for LAN interconnection over high-speed networks

Contact Info

Product

Resources

About