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2 edition of On achieving optimal throughput in data networks. found in the catalog.

On achieving optimal throughput in data networks.

Zongpeng Li

On achieving optimal throughput in data networks.

by Zongpeng Li

  • 318 Want to read
  • 34 Currently reading

Published .
Written in English


About the Edition

The transmission of information within a data network is constrained by the network topology and link capacities. In this thesis, we study the fundamental upper bound of information transmission rates with these constraints, given the unique replicable and encodable properties of information flows. We first analyze the theoretical bounds on throughput improvement due to coding, in various network scenarios. Then based on recent advances in multicast rates with network coding, we formulate the maximum multicast rate problem as a linear network optimization problem, assuming the general undirected network model. We design an efficient primal subgradient solution to this problem, based on Lagrangian relaxation techniques. We then extend our discussions to one or multiple communication sessions, each in the form of unicast, broadcast, multicast, or group communication. We also consider overlay and ad hoc network models. We show that although network coding does not dramatically increase the absolute achievable throughput, it facilitates the design of efficient algorithms to achieve such optimal throughput.

The Physical Object
Pagination158 leaves.
Number of Pages158
ID Numbers
Open LibraryOL21302797M
ISBN 100494076445

The difference between actual data throughput and effective bandwidth is not an issue in the example codes used thus far, since all the data accesses have been using contiguous data. But when we access memory in a strided fashion, which we explore in Chapter 3, the values for actual data throughput and effective bandwidth can diverge. John Goodson: As the executive leader of DataDirect Technologies, John is responsible for daily operations, business development, product direction, and long-term corporate strategy. John was a principal engineer at Data General for seven years, working on their relational database product, DG/SQL. Since joining DataDirect Technologies in , he has held positions of increasing.

Methodology. I have run the network performance benchmark in us-east-1 on April 12th, using benchmark run took 60 minutes, and a data point was recorded every minute. A fresh cxlarge was used as the counterparty for the network benchmark of each instance type. I have published the source code of the network benchmark at widdix/ec2-network-benchmark. Throughput improvement for delay-sensitive video broadcast in wireless mesh networks Maximizing the network throughput is equal to minimizing the length of the time frame. S. Shabdanov, P. Mitran, C. RosenbergAchieving optimal throughput in cooperative wireless multihop networks with rate adaptation and continuous power control.

An Overlay Architecture for Throughput Optimal Multipath Routing. Legacy networks are designed to operate with simple single-path routing, like shortest path, which is known to throughput suboptimal. On the other hand, previously proposed throughput optimal policies require every device to make dynamic routing decision. 1. Introduction. Modern data center networks typically adopt multi-rooted topologies such as fat-tree,, and leaf-spine to facilitate parallel data transmission and achieve good network performance (i.e., high throughput and low latency).Moreover, an efficient distribution of traffic over multiple paths between any pair of hosts depends on an excellent load balancing mechanism.


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On achieving optimal throughput in data networks by Zongpeng Li Download PDF EPUB FB2

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Home Browse by Title Theses On achieving optimal throughput in data networks. On achieving optimal throughput in data networks. January Read More. Author: Zongpeng Li.

University of Toronto (Canada) Publisher: University of. On Achieving Optimal End-to-End Throughput in Data Networks: Theoretical and Empirical Studies Zongpeng Li, Baochun Li, Dan Jiang, Lap Chi Lau Abstract— With the constraints of network topologies and link capacities, achieving the optimal end-to-end throughput in data networks has been known as a fundamental but computationally hard problem.

With the constraints of network topologies and link capacities, achieving the optimal end-to-end throughput in data networks has been known as a fundamental but computationally hard problem.

In this paper, we seek efficient solutions to the problem of achieving optimal throughput in data networks, with single or multiple unicast, multicast and broadcast sessions. Towards this objective, we first investigate upper and lower bounds of such optimal throughput in the case of a single multicast session, and show that it is computationally hard to compute these bounds.

capacities, achieving the optimal end-to-end throughput in data networks has been known as a fundamental but computationally hard problem. In this paper, we seek efficient solutions to the problem of achieving optimal throughput in data networks, with single or multiple unicast, multicast and broadcast sessions.

We prove that in a congestion-free core network model, using shallow broadcast trees with heights up to two is sufficient for all-to-all data transmission to achieve the optimal throughput allowed. Recently, network coding (NC) emerged as a promising technology for significantly improving throughput and energy efficiency of wireless networks, even for unicast communication.

Often, NC schemes are designed as an autonomous layer, independent of the underlying Phy and MAC capabilities and algorithms. Consequently, these schemes are greedy, in the sense that all opportunities of. The transmission of information within a data network is constrained by the network topology and link capacities.

In this paper, we study the fundamental upper bound of information dissemination ra. This begets the need for adaptive network coding schemes. We further show that designing appropriate MAC scheduling algorithms is critical for achieving the throughput gains expected from network coding.

In this paper, we propose a general framework to develop optimal and adaptive joint network coding and scheduling schemes. Abstract. We have developed a synthesis procedure for the design of an optimal throughput in packet communication networks.

The initial data for the synthesis are a structure of the network, a probabilistic workload model and approximate real delay time values in the network. This is the eBook version of the printed book. If the print book includes a CD-ROM, this content is not included within the eBook book offers powerful and strategic insight into application design, development and deployment with an emphasis on the role of database middleware on performance from the world's foremost experts on database connectivity.

Our focus in this paper is on network throughput. Further-more, our focus is on network topology, not on higher-level design like routing and congestion control.2 Therefore, the metric of interest is end-to-end throughput supported by a network in a fluid-flow model with optimal routing.

We next define this more precisely. Queue length based scheduling policies, such as max-weight scheduling [21], [22] and its many variants, are known to be throughput optimal in a general queueing network. The Data Access Handbook Achieving Optimal Database Application Performance and Scalability John Goodson * Robert A.

EVERYDAY DISCOUNT OFFER Buy 2 or more eligible titles and save 35%*—use code BUY2. (A simpler strategy might be to include the price of the book in the course.) At some point, faculty have to be advocates for their students rather than, well, Hirudinea.

What is Network Throughput. Network throughput is usually represented as an average and measured in bits per second (bps), or in some cases as data packets per second.

Throughput is an important indicator of the performance and quality of a network connection. The Data Access Handbook Achieving Optimal Database Application Performance and Scalability It’s the one book that focuses on the areas where you can achieve the greatest improvements—whether you’re designing new database applications or troubleshooting existing ones.

Increasing Network Bandwidth. Hardware. Memory. Disk. CPU. The book reveals a fundamental flaw in classical algorithms for maximising the throughput flow in networks, published since the creation of the theory of flow networks in Despite the years of intensive research, the classical algorithms for maximising the throughput flow leave highly undesirable directed loops of flow in the optimised.

The channel efficiency, also known as bandwidth utilization efficiency, is the percentage of the net bitrate (in bit/s) of a digital communication channel that goes to the actually achieved throughput.

For example, if the throughput is 70 Mbit/s in a Mbit/s Ethernet connection, the channel efficiency is 70%. control plane allows us to achieve optimal performance on the data plane.

In the first example, we consider a throughput maximization problem in multi-hop MIMO networks. The key challenge here is to efficiently use MIMO’s degree-of-freedom (DoF) resources in a network-wide setting to maximize throughput for communications sessions. This book provides a hands-on overview of what every web developer needs to know about the various types of networks (WiFi, 3G/4G), transport protocols (UDP, TCP, and TLS), application protocols (HTTP/, HTTP/2), and APIs available in the browser (XHR, WebSocket, WebRTC, and more) to deliver the best—fast, reliable, and resilient—user.bandwidth The amount of data that can be transferred from one point on the network to another in a specified period.

Bandwidth is usually expressed in bits (of data) per second (bps).Network coding has been recently proposed in information theory as a new dimension of the information multicast problem that helps achieve optimal transmission rate or cost.

End hosts in overlay networks are natural candidates to perform network coding, due to .