The thermodynamic entropy of an ATM traffic stream is a useful tool for predicting cell-loss ratios and cell-delay. In [1] it was proposed that the entropy of a cell stream be estimated directly at a multiplexor; from this data, predictions can be made rapidly using algorithms which are simple enough to be executed on-the-fly. Preliminary investigations using simulated data have suggested that the method is practicable. This paper describes the results of an investigation of the method using real ATM traffic on the Fairisle ATM network [2]. Fairisle is equipped with a wide range of ATM traffic sources, including compressed video, audio and LAN data. In addition traffic can be generated from a pre-recorded trace of traffic activity. One such...
This letter proposes an entropy-based methodology to reduce large network traffic data sets obtained...
Estimating the cell loss probability in an ATM multiplexer is a key issue in network management and ...
Abstract: This paper presents an overview of the existing traffic models for burst data and voice so...
Using entropy of traffic distributions has been shown to aid a wide variety of network monitoring ap...
Introduction How will ATM carriers allocate the band-width required to guarantee the quality-of-ser...
Summarization: Since ATM switches are intented to be simple and inexpensive, a significant part of t...
The modeling of an access multiplexer in an ATM network and the characterization of the cell loss ...
This paper presents algorithms for Connection Admission Control (CAC) in an ATM network which are ba...
Keywords: B-ISDN, congestion, ATM, statistical multiplexer, cell-loss. Cell loss is often assumed t...
• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
: Broadband-Integrated Services Digital Network (B-ISDN) is capable of supporting the transmission o...
Asynchronous transfer mode (ATM) is accepted as the solution to the broadband integrated services ne...
Network traffic monitoring uses empirical entropy to detect anomalous events such as various types o...
In this thesis, we propose a simple method which can be used to characterize any pre-compressed vari...
The interaction of traffic streams within an ATM network raises several interesting ques-tions conce...
This letter proposes an entropy-based methodology to reduce large network traffic data sets obtained...
Estimating the cell loss probability in an ATM multiplexer is a key issue in network management and ...
Abstract: This paper presents an overview of the existing traffic models for burst data and voice so...
Using entropy of traffic distributions has been shown to aid a wide variety of network monitoring ap...
Introduction How will ATM carriers allocate the band-width required to guarantee the quality-of-ser...
Summarization: Since ATM switches are intented to be simple and inexpensive, a significant part of t...
The modeling of an access multiplexer in an ATM network and the characterization of the cell loss ...
This paper presents algorithms for Connection Admission Control (CAC) in an ATM network which are ba...
Keywords: B-ISDN, congestion, ATM, statistical multiplexer, cell-loss. Cell loss is often assumed t...
• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
: Broadband-Integrated Services Digital Network (B-ISDN) is capable of supporting the transmission o...
Asynchronous transfer mode (ATM) is accepted as the solution to the broadband integrated services ne...
Network traffic monitoring uses empirical entropy to detect anomalous events such as various types o...
In this thesis, we propose a simple method which can be used to characterize any pre-compressed vari...
The interaction of traffic streams within an ATM network raises several interesting ques-tions conce...
This letter proposes an entropy-based methodology to reduce large network traffic data sets obtained...
Estimating the cell loss probability in an ATM multiplexer is a key issue in network management and ...
Abstract: This paper presents an overview of the existing traffic models for burst data and voice so...