slides ppt
... for router manufacturers, who must use large, slow, off-chip DRAMs. And queueing delays can be long, have high variance, and may destabilize the congestion control algorithms. In this paper we argue that the rule-of-thumb (B = RTT*C) is now outdated and incorrect for backbone routers. This is becaus ...
... for router manufacturers, who must use large, slow, off-chip DRAMs. And queueing delays can be long, have high variance, and may destabilize the congestion control algorithms. In this paper we argue that the rule-of-thumb (B = RTT*C) is now outdated and incorrect for backbone routers. This is becaus ...
Experience with some Principles for Building an Internet
... On these servers we run custom software designed to ensure high reliability and performances in spite of the various failure modes of the underlying Internet. In our context we define reliability (loosely) as the ability to deliver web content successfully to an end-user under all circumstances. The ...
... On these servers we run custom software designed to ensure high reliability and performances in spite of the various failure modes of the underlying Internet. In our context we define reliability (loosely) as the ability to deliver web content successfully to an end-user under all circumstances. The ...
ABSTRACT Title of Thesis: THROUGHPUT
... considered to be a function of (i) the parameters of the particular link and (ii) the neighboring link traffic rates. These choices result, in most cases, in the incoming traffic rate of a link being larger than the outgoing traffic rate. It was shown that, for a given set of paths for each connect ...
... considered to be a function of (i) the parameters of the particular link and (ii) the neighboring link traffic rates. These choices result, in most cases, in the incoming traffic rate of a link being larger than the outgoing traffic rate. It was shown that, for a given set of paths for each connect ...
Inference IV: Approximate Inference
... converges slowly near the (possibly-local) maximum. Hence, often EM is used few iterations and then Gradient Ascent steps are applied. ...
... converges slowly near the (possibly-local) maximum. Hence, often EM is used few iterations and then Gradient Ascent steps are applied. ...
Navigation Set Hierarchy
... boundary set of C (C3 and C5) In other words, the best path from each interface node in one set to each interface node in the other set ...
... boundary set of C (C3 and C5) In other words, the best path from each interface node in one set to each interface node in the other set ...
Development of Neural Network Inverse Models for Waveguide Filter
... Approach 1. To develop a neural network model, we first define the input and output variables of a device or a structure. We then generate IO data using EM simulation, physics-based simulation, or measurement. ...
... Approach 1. To develop a neural network model, we first define the input and output variables of a device or a structure. We then generate IO data using EM simulation, physics-based simulation, or measurement. ...
isBF: Scalable In-Packet Bloom Filter Based Multicast
... the resulting network load. We refer to Section 4 for further details. Obviously sorting contributes to the complexity of the algorithm O(N log N ) component, where N is the number of receivers. Topology-based splitting This algorithm assumes that the full tree topology data is available at the send ...
... the resulting network load. We refer to Section 4 for further details. Obviously sorting contributes to the complexity of the algorithm O(N log N ) component, where N is the number of receivers. Topology-based splitting This algorithm assumes that the full tree topology data is available at the send ...
A Standard Measure of Mobility for Evaluating Mobile Ad Hoc
... A is the performance of protocol R1 using model M1. B is the performance of protocol R2 using model M2. There are two different models used so results can’t be compared between A and B. ...
... A is the performance of protocol R1 using model M1. B is the performance of protocol R2 using model M2. There are two different models used so results can’t be compared between A and B. ...
... network at time t, we seek to accurately predict the edges that will be added to the network during the interval from time t to a given future time t'.” In our daily lives we often see many complex networks around us (e.g. Internet, WWW, Transportation Network, Social Network etc.). The social netwo ...
PPT
... Border Gateway Protocol (BGP) The administrator of each AS picks at least one router to be the BGP speaker. It will establish sessions with other BGP speakers to exchange reachability information. In addition to a BGP speaker, there are one or more border gateways which are used to forward pack ...
... Border Gateway Protocol (BGP) The administrator of each AS picks at least one router to be the BGP speaker. It will establish sessions with other BGP speakers to exchange reachability information. In addition to a BGP speaker, there are one or more border gateways which are used to forward pack ...
paper
... around the source or sink. Using results from network coding, we generalize this result to different types multicast connections, whose capacity is given by the max-flow between the source(s) and sinks. Our convergence results indicate that the capacity of unicast and multicast connections using net ...
... around the source or sink. Using results from network coding, we generalize this result to different types multicast connections, whose capacity is given by the max-flow between the source(s) and sinks. Our convergence results indicate that the capacity of unicast and multicast connections using net ...
15Sousa
... • At the beginning, multimedia application developers were used to develop applications for stand-alone hardware platforms ...
... • At the beginning, multimedia application developers were used to develop applications for stand-alone hardware platforms ...
a quantitative study of pruning by optimal brain
... since (xk)2 = 1 for Boolean inputs. Note that the training set output (i.e., the speci c Boolean function) only enters the saliencies implicitly through the weight distribution of the trained network. Magnitude based pruning , in which the weights are ranked solely according to magnitude, has been ...
... since (xk)2 = 1 for Boolean inputs. Note that the training set output (i.e., the speci c Boolean function) only enters the saliencies implicitly through the weight distribution of the trained network. Magnitude based pruning , in which the weights are ranked solely according to magnitude, has been ...
Design of Traffic Grooming Optical Virtual Private Networks Obeying
... and through several nodes. This must be avoided and therefore different constraint based routing algorithms have been invented. One solution for this problem is O/E/O conversion. This necessary conversion opens other new possibilities, such as traffic grooming, which is an efficient way to make the ...
... and through several nodes. This must be avoided and therefore different constraint based routing algorithms have been invented. One solution for this problem is O/E/O conversion. This necessary conversion opens other new possibilities, such as traffic grooming, which is an efficient way to make the ...
Trading Routing for Better Efficiency
... and place the most profitable rules across the network. Several recent studies have explored the problem of OpenFlow rule selection and placement [10, 2, 7, 8, 16], as detailed in Section 2. Some of them as [2] propose local solutions to switches for a better flow management. Other studies advance a ...
... and place the most profitable rules across the network. Several recent studies have explored the problem of OpenFlow rule selection and placement [10, 2, 7, 8, 16], as detailed in Section 2. Some of them as [2] propose local solutions to switches for a better flow management. Other studies advance a ...
Efficient K-Nearest Neighbor Search in Time
... develop a primitive solution for the time-dependent kNN problem based on the incremental network expansion (INE [19]) approach where Dreyfus’s modified Dijkstra algorithm is used for time-dependent distance calculation. With this approach, starting from a query object q all network nodes reachable f ...
... develop a primitive solution for the time-dependent kNN problem based on the incremental network expansion (INE [19]) approach where Dreyfus’s modified Dijkstra algorithm is used for time-dependent distance calculation. With this approach, starting from a query object q all network nodes reachable f ...
Multiple-Choice Random Network for Server Load
... i = 1, 2, . . . , e, ae−i is changed into be−i if they are not the same. This is known as prefix routing. As an example, suppose m = n = 25 , and suppose node 10110 makes a query for file 00000, which resides in node 00000. A possible route in a Plaxton network may consist of the following sequence ...
... i = 1, 2, . . . , e, ae−i is changed into be−i if they are not the same. This is known as prefix routing. As an example, suppose m = n = 25 , and suppose node 10110 makes a query for file 00000, which resides in node 00000. A possible route in a Plaxton network may consist of the following sequence ...
Neural Network Architectures
... If it is required that the neuron must react also for similar patterns, then the threshold should be set to wn+1 = −(n − (1 + HD)), where HD is the Hamming distance defining the range of similarity. Since for a given input pattern, only one neuron in the first layer may have the value of one and the ...
... If it is required that the neuron must react also for similar patterns, then the threshold should be set to wn+1 = −(n − (1 + HD)), where HD is the Hamming distance defining the range of similarity. Since for a given input pattern, only one neuron in the first layer may have the value of one and the ...
full presentation - Vrije Universiteit Brussel
... th e th eore ti cal ba se to the PC P, wh ich I descri bed the form of in my ta lk to WESS. It's b asica lly be tw een Fran cis and Val ho w wou ld li ke to tal k, or ...
... th e th eore ti cal ba se to the PC P, wh ich I descri bed the form of in my ta lk to WESS. It's b asica lly be tw een Fran cis and Val ho w wou ld li ke to tal k, or ...
Network Mobility Support in IPv6 - Grenoble
... draft focus on LFNs.=> not all isssues are covered 51st IETF London - Thierry Ernst - August 2001 - ...
... draft focus on LFNs.=> not all isssues are covered 51st IETF London - Thierry Ernst - August 2001 - ...
Network Coding: An Overview
... The major problem with network coding is that the loss of one packet could affect many other packets and renders some information useless at the receiver. In Fig 2(d) R2 needs four bits a, a+c, b, and b+d to recover c and d. If a is lost in the network, R2 cannot recover c even if a+c is received co ...
... The major problem with network coding is that the loss of one packet could affect many other packets and renders some information useless at the receiver. In Fig 2(d) R2 needs four bits a, a+c, b, and b+d to recover c and d. If a is lost in the network, R2 cannot recover c even if a+c is received co ...
Solving the Assignment Problem with the Improved
... attractive in real-time applications. However, most of these methods requires an “annealing” procedure which is sensitive to the solution quality. In addition, this time-varying procedure would pose difficulties in circuits implementation. In [8], an assignment neural network is proposed without any t ...
... attractive in real-time applications. However, most of these methods requires an “annealing” procedure which is sensitive to the solution quality. In addition, this time-varying procedure would pose difficulties in circuits implementation. In [8], an assignment neural network is proposed without any t ...
Slide 1 - The Fengs
... blocking outgoing connections from infected cells. Works best with small cells. ...
... blocking outgoing connections from infected cells. Works best with small cells. ...
LAN Connectivity
... This software provides the facility to divide a large network into smaller sub network. This software is very user friendly, and provides a very convenient method to subnet a large network. ...
... This software provides the facility to divide a large network into smaller sub network. This software is very user friendly, and provides a very convenient method to subnet a large network. ...
Uninformed search
... Examples: 8-puzzle, 8-queen, path planning, map coloring. What are the corresponding states, operators, initial state, goal test, and path cost. ...
... Examples: 8-puzzle, 8-queen, path planning, map coloring. What are the corresponding states, operators, initial state, goal test, and path cost. ...
Network science
Network science is an academic field which studies complex networks such as telecommunication networks, computer networks, biological networks, cognitive and semantic networks, and social networks, considering distinct elements or actors represented by nodes (or vertices) and the connections between the elements or actors as links (or edges). The field draws on theories and methods including graph theory from mathematics, statistical mechanics from physics, data mining and information visualization from computer science, inferential modeling from statistics, and social structure from sociology. The United States National Research Council defines network science as ""the study of network representations of physical, biological, and social phenomena leading to predictive models of these phenomena.""