Congestion control principles
... • Congestion occurs when resource demands exceed the capacity. • The goal of congestion control mechanisms is simply to use the network as efficiently as possible, that is, attain the highest possible throughput while maintaining a low loss ratio and small delay. • Congestion must be avoided because ...
... • Congestion occurs when resource demands exceed the capacity. • The goal of congestion control mechanisms is simply to use the network as efficiently as possible, that is, attain the highest possible throughput while maintaining a low loss ratio and small delay. • Congestion must be avoided because ...
Resource Optimization of Spatial TDMA in Ad Hoc Radio Networks
... radio units with a wireless interface forming temporary connections. No fixed infrastructure is involved in the communication. Instead, two radio units can establish a direct communication link, if the signal-to-noise ratio is high enough. Two radio units far away from each other may communicate, if ...
... radio units with a wireless interface forming temporary connections. No fixed infrastructure is involved in the communication. Instead, two radio units can establish a direct communication link, if the signal-to-noise ratio is high enough. Two radio units far away from each other may communicate, if ...
Introduction
... The standard deviation is equal to the mean, the service time distribution is exponential, i.e., service times are essentially random M/D/1 model: The standard deviation of service time is equal to zero, i.e., a constant service time The poorest performance is exhibited by the exponential servic ...
... The standard deviation is equal to the mean, the service time distribution is exponential, i.e., service times are essentially random M/D/1 model: The standard deviation of service time is equal to zero, i.e., a constant service time The poorest performance is exhibited by the exponential servic ...
i + 1
... we also need to understand the “performance” of an algorithm: How well does a network or a component that uses a particular algorithm perform, as perceived by the user? performance analysis is concerned with metrics like delay, throughput, loss rates, etc metrics of the designer and of the theoretic ...
... we also need to understand the “performance” of an algorithm: How well does a network or a component that uses a particular algorithm perform, as perceived by the user? performance analysis is concerned with metrics like delay, throughput, loss rates, etc metrics of the designer and of the theoretic ...
Performance characterization in image analysis
... This data unit change means that the representation used for the random variation of the output data set may have to be entirely different than the representation used for the random variation of the input data set. In our edge-linking/arc extraction example, the input data might be described by the ...
... This data unit change means that the representation used for the random variation of the output data set may have to be entirely different than the representation used for the random variation of the input data set. In our edge-linking/arc extraction example, the input data might be described by the ...
HW1 Solution
... transmitted at 10 Mbps in one roundtrip time. It only takes one propagation delay, however, for the first bit of an Ethernet frame to traverse the entire length of the network, and during this time, 256 bits are transmitted. Why, then, is it necessary that the minimum frame size be 512 bits instead ...
... transmitted at 10 Mbps in one roundtrip time. It only takes one propagation delay, however, for the first bit of an Ethernet frame to traverse the entire length of the network, and during this time, 256 bits are transmitted. Why, then, is it necessary that the minimum frame size be 512 bits instead ...
arXiv:1701.00642v1 [cs.AI] 3 Jan 2017
... We first recall the definition of the classic shortest path problem. Let G = (V, E) be a directed graph (e.g., corresponding to a transportation network) where V is a set of nodes (e.g., intersections and landmarks in a city) and E ⊂ V 2 is a set of directed edges (e.g., lanes of streets). The set o ...
... We first recall the definition of the classic shortest path problem. Let G = (V, E) be a directed graph (e.g., corresponding to a transportation network) where V is a set of nodes (e.g., intersections and landmarks in a city) and E ⊂ V 2 is a set of directed edges (e.g., lanes of streets). The set o ...
The University of Queensland
... independent from the arrival time and has also an exponential distribution. The time it takes to forward a packet is proportional to its length. We assume that the router can buffer an unlimited number of packets. ...
... independent from the arrival time and has also an exponential distribution. The time it takes to forward a packet is proportional to its length. We assume that the router can buffer an unlimited number of packets. ...
Types of Traffic in AVB 2
... – The TSpec “promises” bandwidth. – But the TSpec implicitly also promises bounded latency. (By promising a frame rate per class measurement interval) What mechanism ensures that the “TSpec promises” are kept during operation of the system? Answer: The Credit Based Traffic Shaper ! Recall: ...
... – The TSpec “promises” bandwidth. – But the TSpec implicitly also promises bounded latency. (By promising a frame rate per class measurement interval) What mechanism ensures that the “TSpec promises” are kept during operation of the system? Answer: The Credit Based Traffic Shaper ! Recall: ...
Priority-based Time Slot Assignment Algorithm for
... for non-slotted OBS were largely studied and reviewed. An early review of RWA can be found in [11]. From there on, new RWA schemes were proposed and analyzed as discussed in [12] [13], [14] [15] [16], [17] [18] [19] and others. For more details on these schemes, the reader is referred to listed refe ...
... for non-slotted OBS were largely studied and reviewed. An early review of RWA can be found in [11]. From there on, new RWA schemes were proposed and analyzed as discussed in [12] [13], [14] [15] [16], [17] [18] [19] and others. For more details on these schemes, the reader is referred to listed refe ...
An Online and Approximate Solver for POMDPs with Continuous
... This paper presents General Pattern Search in Adaptive Belief Tree (GPS-ABT), an approximate and online POMDP solver for problems with continuous action spaces, assuming the action space is a convex subset of Rn . GPS-ABT alleviates the difficulty of solving POMDP with continuous action using direct ...
... This paper presents General Pattern Search in Adaptive Belief Tree (GPS-ABT), an approximate and online POMDP solver for problems with continuous action spaces, assuming the action space is a convex subset of Rn . GPS-ABT alleviates the difficulty of solving POMDP with continuous action using direct ...
GRGOPF paper-PDF - Iowa State University
... the usual role of the slack node. By making the voltage magnitude of the slack node a control parameter varying between Vmin and Vmax (normally with voltage magnitudes of some other nodes participating as control parameters) the slack no longer determines the voltage level throughout the system. Its ...
... the usual role of the slack node. By making the voltage magnitude of the slack node a control parameter varying between Vmin and Vmax (normally with voltage magnitudes of some other nodes participating as control parameters) the slack no longer determines the voltage level throughout the system. Its ...
Performance comparison of scheduling algorithms for IPTV traffic
... can be transmitted over the same fibre [3]. However, the reservation of one wavelength per user leaves unused most of the bandwidth capacity of this lambda. Optical Burst Switching (OBS) technology increases the utilisation level of the optical bandwidth. This is possible, because of aggregation of ...
... can be transmitted over the same fibre [3]. However, the reservation of one wavelength per user leaves unused most of the bandwidth capacity of this lambda. Optical Burst Switching (OBS) technology increases the utilisation level of the optical bandwidth. This is possible, because of aggregation of ...
inf orms O R
... deviates from the marketing literature because the shortnotice assumption does not allow a dynamic approach. In this sense, note that the first-come-first-served discipline appears to be reasonable in a short-notice setting, as it is indeed the right model whenever the response times of the customers ...
... deviates from the marketing literature because the shortnotice assumption does not allow a dynamic approach. In this sense, note that the first-come-first-served discipline appears to be reasonable in a short-notice setting, as it is indeed the right model whenever the response times of the customers ...
Reliable Space Pursuing for Reliability-based Design Optimization with Black-box Performance Functions
... reliability constraints to approximately- equivalent deterministic constraints, based on which a safety-factor based approach was developed [9]. YANG, et al[10], implemented and tested several approximate RBDO methods against a double loop algorithm with a number of design problems. SHAN, et al[11], ...
... reliability constraints to approximately- equivalent deterministic constraints, based on which a safety-factor based approach was developed [9]. YANG, et al[10], implemented and tested several approximate RBDO methods against a double loop algorithm with a number of design problems. SHAN, et al[11], ...
Diffusion approximation of the network with limited number of same
... on the service according to FIFO discipline. It is assumed that the number of customers in one of the systems is determined by the process of birth and death. It generates and destroys customers with certain service times of rates. The network state is described by the random vector, which is a Mark ...
... on the service according to FIFO discipline. It is assumed that the number of customers in one of the systems is determined by the process of birth and death. It generates and destroys customers with certain service times of rates. The network state is described by the random vector, which is a Mark ...
Chapter 10
... – transmission occurs in the same order as messages are received – Until recently, FIFO queuing was the default for all router interfaces ...
... – transmission occurs in the same order as messages are received – Until recently, FIFO queuing was the default for all router interfaces ...
Assessment of the Power Series Routing Algorithm in Translucent
... IEEE COMMUNICATIONS LETTERS, VOL. 16, NO. 6, JUNE 2012 ...
... IEEE COMMUNICATIONS LETTERS, VOL. 16, NO. 6, JUNE 2012 ...
A Simulation Approach to Optimal Stopping Under Partial Information
... programming computations are possible, see e.g. [38]. If the problem state is low-dimensional and Markov, one may alternatively use the quasi-variational formulation to obtain a free-boundary partial differential equation (pde) and then implement a (b) numerical pde solver for an efficient solution. ...
... programming computations are possible, see e.g. [38]. If the problem state is low-dimensional and Markov, one may alternatively use the quasi-variational formulation to obtain a free-boundary partial differential equation (pde) and then implement a (b) numerical pde solver for an efficient solution. ...
Download paper (PDF)
... the probability that the return of the investor’s portfolio beats the return of the benchmark by a given percentage without ever going below it by another predetermined percentage. We also consider objectives related to the minimization of the expected time until the investor beats the benchmark. We ...
... the probability that the return of the investor’s portfolio beats the return of the benchmark by a given percentage without ever going below it by another predetermined percentage. We also consider objectives related to the minimization of the expected time until the investor beats the benchmark. We ...
Online Service Management Algorithm for Cellular/WLAN
... - update the packet marking probability - learn the correct rate and send back congestion notification ...
... - update the packet marking probability - learn the correct rate and send back congestion notification ...
Performance Analysis of a Heterogeneous Traffic Scheduler
... the designated algorithm can stabilize the system as well. For example, MaxWeight (MW) and Exponential (EXP) algorithms are throughput optimal since they ensure stochastic stability of queues as long as such is feasible. In other way, stability implies that average packet delay of users cannot reach ...
... the designated algorithm can stabilize the system as well. For example, MaxWeight (MW) and Exponential (EXP) algorithms are throughput optimal since they ensure stochastic stability of queues as long as such is feasible. In other way, stability implies that average packet delay of users cannot reach ...
Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio
... Although the focus of this paper is on any-to-any CR networks, problems similar to (P1) arise naturally when applying dual decomposition to a cross-layer network optimization play the role of Lagrange problem, where the weights multipliers associated with the physical layer link capacity constraints ...
... Although the focus of this paper is on any-to-any CR networks, problems similar to (P1) arise naturally when applying dual decomposition to a cross-layer network optimization play the role of Lagrange problem, where the weights multipliers associated with the physical layer link capacity constraints ...
Convergence Rates of Distributed Average Consensus With
... In this work, we consider a network with an underlying topology that is an arbitrary, connected, undirected graph where links fails with independent but not necessarily identical probability. In such stochastic networks, we define convergence in terms of the variance of deviation from average. We sh ...
... In this work, we consider a network with an underlying topology that is an arbitrary, connected, undirected graph where links fails with independent but not necessarily identical probability. In such stochastic networks, we define convergence in terms of the variance of deviation from average. We sh ...