TY - BOOK ID - 64879015 TI - Networking and Computation : Technology, Modeling and Performance AU - Robertazzi, Thomas G. AU - Shi, Li. PY - 2020 SN - 3030367045 3030367037 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Electrical engineering. KW - Computer communication systems. KW - Applied mathematics. KW - Engineering mathematics. KW - Computer system failures. KW - Communications Engineering, Networks. KW - Computer Communication Networks. KW - Applications of Mathematics. KW - System Performance and Evaluation. KW - Computer failures KW - Computer malfunctions KW - Computer systems KW - Failure of computer systems KW - System failures (Engineering) KW - Fault-tolerant computing KW - Engineering KW - Engineering analysis KW - Mathematical analysis KW - Communication systems, Computer KW - Computer communication systems KW - Data networks, Computer KW - ECNs (Electronic communication networks) KW - Electronic communication networks KW - Networks, Computer KW - Teleprocessing networks KW - Data transmission systems KW - Digital communications KW - Electronic systems KW - Information networks KW - Telecommunication KW - Cyberinfrastructure KW - Electronic data processing KW - Network computers KW - Electric engineering KW - Failures KW - Mathematics KW - Distributed processing KW - Computer networks. UR - https://www.unicat.be/uniCat?func=search&query=sysid:64879015 AB - This revised textbook, intended for use in undergraduate/graduate courses on computer networking, computer systems/architecture and performance evaluation, presents a host of new and revised content and ancillaries. This text presents a balanced approach between technology and mathematical modeling. It covers networking algorithms (routing, error codes, protocol verification, line codes, network coding and quantum encryption) and analysis (probability for networking with technological examples, queueing models, divisible load scheduling theory and Amdahl’s Law). There is also a tutorial chapter providing insights into machine learning for networking, the cutting edge of networking technology. This self-contained text progresses systematically and gives students numerous examples at the end of each chapter. Students in electrical engineering, computer engineering and computer science departments will benefit from this book as will engineers and computer scientists working in relevant fields. Maintains a balanced approach between technology and mathematical modeling Features new and revised content covering the latest advances in the field since the original publication Includes a host of classroom material for students and instructors. ER -