Stochastic Network Optimization and the Theory of Network Throughput, Energy, and Delay

Nov 04, 2011

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Outline: Analogy between Info Theory and Network Theory

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Stochastic Network Optimization and the Theory of Network Throughput, Energy, and Delay

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Network Optimization

Network Optimization. Network optimization models:. Special cases of linear programming models. Important to identify problems that can be modeled as networks because:. (1). network representations make optimization. models easier to visualize and explain. (2).

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Connections between network coding and stochastic network theory

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Stochastic Network Optimization with Non-Convex Utilities and Costs

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Measuring and Understanding Throughput of Network Topologies

Measuring and Understanding Throughput of Network Topologies. Sigmetrics 2014 Sangeetha Abdu Jyothi , Ankit Singla , P. Brighten Godfrey, Alexandra Kolla University of Illinois at Urbana–Champaign Wu wenbin. Motivation. Analyze networks’ topology  throughput

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Metarouting and Network Optimization

timothy.griffin@cl.cam.ac.uk. Metarouting and Network Optimization. (work in progress). alex.gurney@cl.cam.ac.uk. CISS 2006. The Current Situation. IP Connectivity is implemented with dynamic routing protocols These protocols are few in number

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Stochastic optimization of energy systems

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Network Optimization

Network Optimization. Lecture 15,16 - 2. Taxonomy of TC. Direction-based TC. Rely on the ability of the nodes to estimate the relative direction of their neighbors Less accurate information than knowing exact node locations

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Network Optimization

Network Optimization. Lecture 16 - 1. Critical Transmission Range (1/5). Definition 4.0.1 (CTR for connectivity) Suppose n nodes are placed in a certain region R = [0 , l ] d , with d = 1 , 2 , or 3 .

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Network Optimization

Network Optimization. Lectures 15,16 - 1. Taxonomy of TC. 1. 1. 1. 1. Unit Disk Graph. Consisted of a set V of n nodes Distributed in a two-dimensional plane Equipped an omnidirectional antenna with the same P max Unit disk graph, UDG ( V ). V. 0.8. 0.8. 0.4. 0.4. 0.5. 0.5.

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Stochastic Network Optimization and the Theory of Network Throughput, Energy, and Delay

Stochastic Network Optimization and the Theory of Network Throughput, Energy, and Delay. General mobile network. Michael J. Neely University of Southern California http://www-rcf.usc.edu/~mjneely/. *Sponsored in part by the DARPA IT-MANET Program, NSF OCE-0520324, NSF Career CCF-0747525.

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Network Optimization

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Delay Reduction via Lagrange Multipliers in Stochastic Network Optimization

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Network Optimization

Network Optimization. Chapter 4 Minimum Cost Flow Problems (MCF). 4 .1 The upper-bounded transshipment problem.

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Network Optimization

Network Optimization. Chapter 3 Shortest Path Problems. 3 .1 Shortest paths from a single source. In a weighted digraph , a path of minimum weight from vertex v to vertex w is called a shortest path (SP) from v to w, and its length is called the shortest distance (SD) from v to w.

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Stochastic Network Optimization and the Theory of Network Throughput, Energy, and Delay

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Stochastic optimization of energy systems

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Stochastic Network Interdiction

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