Big Queues
| Author | : Ayalvadi J. Ganesh |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 276 |
| Release | : 2004 |
| Genre | : Large deviations |
| ISBN | : 9783540209126 |
Big Queues
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Large Deviations for Gaussian Queues
| Author | : Michel Mandjes |
| Publisher | : John Wiley & Sons |
| Total Pages | : 336 |
| Release | : 2007-04-30 |
| Genre | : Mathematics |
| ISBN | : 9780470515082 |
In recent years the significance of Gaussian processes to communication networks has grown considerably. The inherent flexibility of the Gaussian traffic model enables the analysis, in a single mathematical framework, of systems with both long-range and short-range dependent input streams. Large Deviations for Gaussian Queues demonstrates how the Gaussian traffic model arises naturally, and how the analysis of the corresponding queuing model can be performed. The text provides a general introduction to Gaussian queues, and surveys recent research into the modelling of communications networks. Coverage includes: Discussion of the theoretical concepts and practical aspects related to Gaussian traffic models. Analysis of recent research asymptotic results for Gaussian queues, both in the large-buffer and many-sources regime. An emphasis on rare-event analysis, relying on a variety of asymptotic techniques. Examination of single-node FIFO queuing systems, as well as queues operating under more complex scheduling disciplines, and queuing networks. A set of illustrative examples that directly relate to important practical problems in communication networking. A large collection of instructive exercises and accompanying solutions. Large Deviations for Gaussian Queues assumes minimal prior knowledge. It is ideally suited for postgraduate students in applied probability, operations research, computer science and electrical engineering. The book’s self-contained style makes it perfect for practitioners in the communications networking industry and for researchers in related areas.
Analysis of Queues
| Author | : Natarajan Gautam |
| Publisher | : CRC Press |
| Total Pages | : 804 |
| Release | : 2012-04-26 |
| Genre | : Business & Economics |
| ISBN | : 1439806586 |
Written with students and professors in mind, Analysis of Queues: Methods and Applications combines coverage of classical queueing theory with recent advances in studying stochastic networks. Exploring a broad range of applications, the book contains plenty of solved problems, exercises, case studies, paradoxes, and numerical examples. In addition to the standard single-station and single class discrete queues, the book discusses models for multi-class queues and queueing networks as well as methods based on fluid scaling, stochastic fluid flows, continuous parameter Markov processes, and quasi-birth-and-death processes, to name a few. It describes a variety of applications including computer-communication networks, information systems, production operations, transportation, and service systems such as healthcare, call centers and restaurants.
Big Data
| Author | : Balamurugan Balusamy |
| Publisher | : John Wiley & Sons |
| Total Pages | : 368 |
| Release | : 2021-03-15 |
| Genre | : Mathematics |
| ISBN | : 1119701872 |
Learn Big Data from the ground up with this complete and up-to-date resource from leaders in the field Big Data: Concepts, Technology, and Architecture delivers a comprehensive treatment of Big Data tools, terminology, and technology perfectly suited to a wide range of business professionals, academic researchers, and students. Beginning with a fulsome overview of what we mean when we say, “Big Data,” the book moves on to discuss every stage of the lifecycle of Big Data. You’ll learn about the creation of structured, unstructured, and semi-structured data, data storage solutions, traditional database solutions like SQL, data processing, data analytics, machine learning, and data mining. You’ll also discover how specific technologies like Apache Hadoop, SQOOP, and Flume work. Big Data also covers the central topic of big data visualization with Tableau, and you’ll learn how to create scatter plots, histograms, bar, line, and pie charts with that software. Accessibly organized, Big Data includes illuminating case studies throughout the material, showing you how the included concepts have been applied in real-world settings. Some of those concepts include: The common challenges facing big data technology and technologists, like data heterogeneity and incompleteness, data volume and velocity, storage limitations, and privacy concerns Relational and non-relational databases, like RDBMS, NoSQL, and NewSQL databases Virtualizing Big Data through encapsulation, partitioning, and isolating, as well as big data server virtualization Apache software, including Hadoop, Cassandra, Avro, Pig, Mahout, Oozie, and Hive The Big Data analytics lifecycle, including business case evaluation, data preparation, extraction, transformation, analysis, and visualization Perfect for data scientists, data engineers, and database managers, Big Data also belongs on the bookshelves of business intelligence analysts who are required to make decisions based on large volumes of information. Executives and managers who lead teams responsible for keeping or understanding large datasets will also benefit from this book.
Proceedings of the Seventh Annual ACM-SIAM Symposium on Discrete Algorithms
| Author | : |
| Publisher | : SIAM |
| Total Pages | : 608 |
| Release | : 1996-01-01 |
| Genre | : Mathematics |
| ISBN | : 9780898713664 |
This text covers the proceedings of the Seventh Annual ACM-SIAM Symposium on Discrete Algorithms, which was held in Atlanta, Georgia, in January 1996.
Distributed Computer and Communication Networks: Control, Computation, Communications
| Author | : Vladimir M. Vishnevskiy |
| Publisher | : Springer Nature |
| Total Pages | : 379 |
| Release | : 2021-12-14 |
| Genre | : Computers |
| ISBN | : 3030925072 |
This book constitutes the refereed post-conference proceedings of the 24th International Conference on Distributed and Computer and Communication Networks, DCCN 2021, held in Moscow, Russia, in September 2021. The 26 revised full papers and 3 revised short papers were carefully reviewed and selected from 151 submissions. The papers cover the following topics: computer and communication networks; analytical modeling of distributed systems; and distributed systems applications.
OpenVMS System Management Guide
| Author | : Lawrence Baldwin |
| Publisher | : Elsevier |
| Total Pages | : 655 |
| Release | : 2003-11-20 |
| Genre | : Computers |
| ISBN | : 0080513123 |
OpenVMS System Management Guide, Second Edition, the most complete book on the topic, details for system administrators the tools, technologies, and techniques by which they can configure, maintain, and tune computers running Hewlett-Packard's high-performance OpenVMS operating system. Revised by a topical authority and a principal OpenVMS engineer, the book enables system administrators to perform more efficiently and effectively those everyday tasks critical to an OpenVMS system. Examples have been updated to include OpenVMS/VAX 7.3 and OpenVMS/Alpha 7.3-1. - OpenVMS administration best practices and utilities - System management strategies that support business objectives - Updated references to latest HP documents and other WWW resources - New chapter summarizing software installation - New appendix to help the hobbyist get started
Optimization of Computer Networks
| Author | : Pablo Pavón Mariño |
| Publisher | : John Wiley & Sons |
| Total Pages | : 399 |
| Release | : 2016-05-02 |
| Genre | : Technology & Engineering |
| ISBN | : 1119013356 |
This book covers the design and optimization of computer networks applying a rigorous optimization methodology, applicable to any network technology. It is organized into two parts. In Part 1 the reader will learn how to model network problems appearing in computer networks as optimization programs, and use optimization theory to give insights on them. Four problem types are addressed systematically – traffic routing, capacity dimensioning, congestion control and topology design. Part 2 targets the design of algorithms that solve network problems like the ones modeled in Part 1. Two main approaches are addressed – gradient-like algorithms inspiring distributed network protocols that dynamically adapt to the network, or cross-layer schemes that coordinate the cooperation among protocols; and those focusing on the design of heuristic algorithms for long term static network design and planning problems. Following a hands-on approach, the reader will have access to a large set of examples in real-life technologies like IP, wireless and optical networks. Implementations of models and algorithms will be available in the open-source Net2Plan tool from which the user will be able to see how the lessons learned take real form in algorithms, and reuse or execute them to obtain numerical solutions. An accompanying link to the author’s own Net2plan software enables readers to produce numerical solutions to a multitude of real-life problems in computer networks (www.net2plan.com).
Performance Modeling, Stochastic Networks, and Statistical Multiplexing, Second Edition
| Author | : Ravi Mazumdar |
| Publisher | : Springer Nature |
| Total Pages | : 197 |
| Release | : 2022-05-31 |
| Genre | : Computers |
| ISBN | : 3031792602 |
This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed discussion of accurate approximations for large networks.
Control Techniques for Complex Networks
| Author | : Sean Meyn |
| Publisher | : Cambridge University Press |
| Total Pages | : 33 |
| Release | : 2008 |
| Genre | : Mathematics |
| ISBN | : 0521884411 |
From foundations to state-of-the-art; the tools and philosophy you need to build network models.
