Handbook of Computer Networks: Distributed Networks, Network Planning, Control, Management, and New Trends and Applications, Volume 3 By
2008 | 1115 Pages | ISBN: 0471784605 | PDF | 32 MB
Volume III: Distributed Networks, Network Planning, Control, Management, and New Trends and Applications.Part 1: Distributed Networks. Client/Server Computing Basics (Daniel McFarland and Darren B. Nicholson). Groupware (Robert Slagter). Network Middleware (Linda Volonino and Pragati Dalal). Grid Computing Fundamentals (Mark Baker). Grid Computing Implementation (Barry Wilkinson and Clayton Ferner). Cluster Computing Fundamentals (Hong Ong and Mark Baker). Next-Generation Cluster Networks (Keren Bergman, Benjamin A. Small, and Larry A. Bergman). Utility Computing on Global Grids (Chee Shin Yeo, Rajkumar Buyya, Marcos Dias de Assuncao, Jia Yu, Anthony Sulistio, Srikumar Venugopal and Martin Placek). Peer-to-Peer Network Architecture (Jing Wu and Michel Savoie). Peer-to-Peer Network Applications (Stan Kurkovsky). Incentive Issues in Peer-to-Peer Systems (Yu-Kwong Kwok). Storage Area Network Fundamentals (Vladimir V. Riabov). Fiber Channel (Jiying Zhao). Storage Area Networks: Architectures and Protocols (Nirwan Ansari and Si Yin). Distributed Intelligent Networks (G. N. Prezerakos and I. S. Venieris). Smart Cards: Communication Protocols and Applications (Michael Tunstall, Konstantinos Markantonakis, Damien Sauveron, and Keith Mayes). Fault-Tolerant Systems (Amiya Nayak). Distributed Algorithms (Valmir C. Barbosa). Distributed Databases (David Coquil and Harald Kosch).Part 2: Network Planning, Control, and Management. Network Capacity Planning (Priscilla Oppenheimer). Network Traffic Modeling (Thomas M. Chen). Network Traffi c Management (Thomas M. Chen). Network Security Risk Assessment and Management (Dan Port, Rick Kazman, and David Klappholz). Network Reliability and Fault Tolerance (Matthew Liotine). Social Engineering (Benjamin Bock, Markus D. Klemen, and Edgar R. Weippl). Intrusion-Detection Systems (Peng Ning and Sushil Jajodia). Network Attacks (Mohamed Hamdi and Noureddine Boudriga). Computer Viruses and Worms (Robert Slade). Denial of Service Attacks (Qijun Gu and Peng Liu). E-Mail Threats and Vulnerabilities (David Harley). Virtual Private Networks (G. I. Papadimitriou, M. S. Obaidat, C. Papazoglou, and A.S.Pomportsis). Cryptography (Ari Juels) Access Control (Sabrina De Capitani di Vimercati, Sara Foresti,Stefano Paraboschi, and Pierangela Samarati) Biometrics (James L. Wayman). Firewalls (James E. Goldman). Authentication (Patrick McDaniel). Password Authentication (Jeremy L. Rasmussen). Physical Security Threats and Measures (Mark Michael). Computer Security Incident Response Teams (CSIRTs) (Raymond R. Panko). Backup and Recovery System Requirements (David R. Reavis). Business Requirements of Backup Systems (Markus Klemen, Thomas Neubauer, and Edgar R. Weippl). Evaluating Storage Media Requirements (David R. Reavis). Business Continuity Planning (Marco Cremonini and Pierangela Samarati). E-Mail and Internet Use Policies (Nancy J. King). Computer Network Management (Jian Ren).Part 3: Computer Network Popular Applications and Future Directions. E-mail and Instant Messaging (Bhagyavati). Application Service Providers (ASPs) (Bandula Jayatilaka). Videoconferencing (Ketan Mayer-Patel). Computer Conferencing: Protocols and Applications (William R. Gillis and Colleen Taugher). Telecommuting and Telework (Michael Workman). Online Banking (Ronnie J. Phillips). Digital Libraries (Cavan McCarthy). Computer Conferencing and Distance Learning (Liam Rourke and Heather Kanuka). Electronic Commerce (Charles Steinfield). Electronic Data Interchange (EDI) (Matthew K. McGowan). Electronic Payment Systems (Indrajit Ray). Internet Relay Chat (IRC) (James M. Hudson and Paul L. Witt). Online Communities (Lee Sproull and Manuel Arriaga). Mobile Commerce (Vijay Atluri). Online News (Bruce Garrison and Marcus Messner). Travel and Tourism (Ulrike Gretzel, Youcheng Wang, and Daniel R. Fesenmaier). Web-Based Training (Patrick J. Fahy). RFID (Radio-Frequency Identification) (Stephen A. Weis). Active Networking (Stephen F. Bush). Applications of Biological Concepts to Designs of Computer Networks and Network Applications (Tatsuya Suda, Tadashi Nakano, and Keita Fujii). Nanotechnology for Communication Systems (Syed H. Murshid and Azhar M. Khayrattee). Molecular Communication: New Paradigm for Communication among Nanoscale Biological Machines (Michael Moore, Akihiro Enomoto, Tatsuya Suda, Tadashi Nakano, and Yutaka Okaie).Content:

Distributed .NET with Microsoft Orleans:
Build robust and highly scalable distributed applications without worrying about complex programming patterns
English | 2022 | ISBN: 1801818975 | 260 Pages | PDF EPUB (True) | 21 MB

Learning Analytics in Open and Distributed Learning: Potential and Challenges by Paul Prinsloo
English | EPUB | 2022 | 129 Pages | ISBN : 9811907854 | 10.7 MB
This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the "data revolution" and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book's conceptual rationale, the book discusses the potential, challenges and practices of learning analytics in various open and distributed contexts. A concluding chapter briefly summarises the chapters before providing a tentative future research agenda for learning analytics in open and distributed environments.

Peter Oliver, Concise Reads, "Blockchain 101: Distributed Ledger Technology"
English | 2018 | ISBN: 1980294658 | ASIN: B079TJ5VH5 | EPUB | pages: 57 | 0.1 mb
*Blockchain for the non-developer

English | 2022 | ISBN: 1098106067, 978-1098106065 | 275 pages | EPUB | 7.29 MB
In many systems, scalability becomes the primary driver as the user base grows. Attractive features and high utility breed success, which brings more requests to handle and more data to manage. But organizations reach a tipping point when design decisions that made sense under light loads suddenly become technical debt. This practical book covers design approaches and technologies that make it possible to scale an application quickly and cost-effectively.

Energy Efficiency in Large Scale Distributed Systems: COST IC0804 European Conference, EE-LSDS 2013, Vienna, Austria, April 22-24, 2013, Revised Selected Papers By Mohammed El Mehdi Diouri, Manuel F. Dolz, Olivier Glück, Laurent Lefèvre, Pedro Alonso (auth.), Jean-Marc Pierson, Georges Da Costa, Lars Dittmann (eds.)
2013 | 312 Pages | ISBN: 3642405169 | PDF | 11 MB
This book constitutes revised selected papers from the Conference on Energy Efficiency in Large Scale Distributed Systems, EE-LSDS, held in Vienna, Austria, in April 2013. It served as the final event of the COST Action IC0804 which started in May 2009. The 15 full papers presented in this volume were carefully reviewed and selected from 31 contributions. In addition, 7 short papers and 3 demo papers are included in this book. The papers are organized in sections named: modeling and monitoring of power consumption; distributed, mobile and cloud computing; HPC computing; wired and wireless networking; and standardization issues.

Distributed Artificial Intelligence: A Modern Approach (Internet of Everything: Security and Privacy Paradigm) edited by Satya Prakash Yadav, Dharmendra Prasad Mahato, Nguyen Thi Dieu Linh
English | December 18, 2020 | ISBN: 0367466651 | True EPUB | 322 pages | 9.8 MB
Distributed Artificial Intelligence (DAI) came to existence as an approach for solving complex learning, planning, and decision-making problems. When we talk about decision making, there may be some meta-heuristic methods where the problem solving may resemble like operation research. But exactly, it is not related completely to management research. The text examines representing and using organizational knowledge in DAI systems, dynamics of computational ecosystems, and communication-free interactions among rational agents. This publication takes a look at conflict-resolution strategies for nonhierarchical distributed agents, constraint-directed negotiation of resource allocations, and plans for multiple agents.

Stochastic Reactive Distributed Robotic Systems: Design, Modeling and Optimization By Gregory Mermoud (auth.)
2014 | 215 Pages | ISBN: 3319026089 | PDF | 9 MB

Q. Ethan McCallum, Stephen Weston, "Parallel R: Data Analysis in the Distributed World"
English | 2011 | pages: 122 | ISBN: 1449309925 | PDF | 5,7 mb
It's tough to argue with R as a high-quality, cross-platform, open source statistical software product-unless you're in the business of crunching Big Data. This concise book introduces you to several strategies for using R to analyze large datasets, including three chapters on using R and Hadoop together. You'll learn the basics of Snow, Multicore, Parallel, Segue, RHIPE, and Hadoop Streaming, including how to find them, how to use them, when they work well, and when they don't.

Distributed Sensing and Intelligent Systems: Proceedings of ICDSIS 2020
English | 2022 | ISBN: 3030642577 | 841 Pages | PDF (True) | 23 MB
This book is the proceeding of the 1st International Conference on Distributed Sensing and Intelligent Systems (ICDSIS2020) which will be held in The National School of Applied Sciences of Agadir, Ibn Zohr University, Agadir, Morocco on February 01-03, 2020. ICDSIS2020 is co-organized by Computer Vision and Intelligent Systems Lab, University of North Texas, USA as a scientific collaboration event with The National School of Applied Sciences of Agadir, Ibn Zohr University. ICDSIS2020 aims to foster students, researchers, academicians and industry persons in the field of Computer and Information Science, Intelligent Systems, and Electronics and Communication Engineering in general. The volume collects contributions from leading experts around the globe with the latest insights on emerging topics, and includes reviews, surveys, and research chapters covering all aspects of distributed sensing and intelligent systems. The volume is divided into 5 key sections: Distributed Sensing Applications; Intelligent Systems; Advanced theories and algorithms in machine learning and data mining; Artificial intelligence and optimization, and application to Internet of Things (IoT); and Cybersecurity and Secure Distributed Systems.