Add to ORKG• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
Robustness of water distribution networks is related to their connectivity and topological structure...
This paper was prompted by growing evidence that Shannon's measure of uncertainty can be used as a s...
Texas Department of Transportation, AustinFederal Highway Administration, Washington, D.C.Mode of ac...
• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
Using entropy of traffic distributions has been shown to aid a wide variety of network monitoring ap...
Thesis (Ph. D.)--University of Rochester. Dept. of Mathematics, 2008.The algorithmic field of Data S...
Network traffic monitoring uses empirical entropy to detect anomalous events such as various types o...
Abstract — This letter proposes an Entropy-based methodology to reduce large network traffic data se...
This paper describes methods for calculating the most likely values of link flows in networks with i...
Statistical information about the flow sizes in the traffic passing through a network link helps a n...
Knowing the distribution of the sizes of traffic flows passing through a network link helps a networ...
The traffic volume between origin/destination (OD) pairs in a network, known as traffic matrix, is e...
none3noThe evaluation of network traffic entropy is very useful for management purposes, since it he...
With the emergence of computer networks as one of the primary modes of communication, and with thei...
The thermodynamic entropy of an ATM traffic stream is a useful tool for predicting cell-loss ratios ...
Robustness of water distribution networks is related to their connectivity and topological structure...
This paper was prompted by growing evidence that Shannon's measure of uncertainty can be used as a s...
Texas Department of Transportation, AustinFederal Highway Administration, Washington, D.C.Mode of ac...
• Given n flows of sizes a1,..., an. Let s ≡ i ai. The empirical entropy is defined a
Using entropy of traffic distributions has been shown to aid a wide variety of network monitoring ap...
Thesis (Ph. D.)--University of Rochester. Dept. of Mathematics, 2008.The algorithmic field of Data S...
Network traffic monitoring uses empirical entropy to detect anomalous events such as various types o...
Abstract — This letter proposes an Entropy-based methodology to reduce large network traffic data se...
This paper describes methods for calculating the most likely values of link flows in networks with i...
Statistical information about the flow sizes in the traffic passing through a network link helps a n...
Knowing the distribution of the sizes of traffic flows passing through a network link helps a networ...
The traffic volume between origin/destination (OD) pairs in a network, known as traffic matrix, is e...
none3noThe evaluation of network traffic entropy is very useful for management purposes, since it he...
With the emergence of computer networks as one of the primary modes of communication, and with thei...
The thermodynamic entropy of an ATM traffic stream is a useful tool for predicting cell-loss ratios ...
Robustness of water distribution networks is related to their connectivity and topological structure...
This paper was prompted by growing evidence that Shannon's measure of uncertainty can be used as a s...
Texas Department of Transportation, AustinFederal Highway Administration, Washington, D.C.Mode of ac...