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Ethernet is a family of wired computer networking technologies commonly used in local area networks (LAN), metropolitan area networks (MAN) and wide area networks (WAN). It was commercially introduced in 1980 and first standardized in 1983 as IEEE 802.3. Ethernet has since been refined to support higher bit rates, a greater number of nodes, and longer link distances, but retains much backward compatibility. Over time, Ethernet has largely replaced competing wired LAN technologies such as Token Ring, FDDI and ARCNET.
A local area network (LAN) is a computer network that interconnects computers within a limited area such as a residence, school, laboratory, university campus or office building. By contrast, a wide area network (WAN) not only covers a larger geographic distance, but also generally involves leased telecommunication circuits.
Fiber Distributed Data Interface (FDDI) is a standard for data transmission in a local area network. It uses optical fiber as its standard underlying physical medium, although it was also later specified to use copper cable, in which case it may be called CDDI, standardized as TP-PMD, also referred to as TP-DDI.
Network topology is the arrangement of the elements of a communication network. Network topology can be used to define or describe the arrangement of various types of telecommunication networks, including command and control radio networks, industrial fieldbusses and computer networks.
The Spanning Tree Protocol (STP) is a network protocol that builds a loop-free logical topology for Ethernet networks. The basic function of STP is to prevent bridge loops and the broadcast radiation that results from them. Spanning tree also allows a network design to include backup links providing fault tolerance if an active link fails.
Robert Elliot Kahn is an American electrical engineer who, along with Vint Cerf, first proposed the Transmission Control Protocol (TCP) and the Internet Protocol (IP), the fundamental communication protocols at the heart of the Internet.
Neuroevolution, or neuro-evolution, is a form of artificial intelligence that uses evolutionary algorithms to generate artificial neural networks (ANN), parameters, and rules. It is most commonly applied in artificial life, general game playing and evolutionary robotics. The main benefit is that neuroevolution can be applied more widely than supervised learning algorithms, which require a syllabus of correct input-output pairs. In contrast, neuroevolution requires only a measure of a network's performance at a task. For example, the outcome of a game can be easily measured without providing labeled examples of desired strategies. Neuroevolution is commonly used as part of the reinforcement learning paradigm, and it can be contrasted with conventional deep learning techniques that use backpropagation with a fixed topology.
A mesh network is a local area network topology in which the infrastructure nodes connect directly, dynamically and non-hierarchically to as many other nodes as possible and cooperate with one another to efficiently route data to and from clients.
A network on a chip or network-on-chip is a network-based communications subsystem on an integrated circuit ("microchip"), most typically between modules in a system on a chip (SoC). The modules on the IC are typically semiconductor IP cores schematizing various functions of the computer system, and are designed to be modular in the sense of network science. The network on chip is a router-based packet switching network between SoC modules.
A computer network is a set of computers sharing resources located on or provided by network nodes. Computers use common communication protocols over digital interconnections to communicate with each other. These interconnections are made up of telecommunication network technologies based on physically wired, optical, and wireless radio-frequency methods that may be arranged in a variety of network topologies.
Radia Joy Perlman is an American computer programmer and network engineer. She is a major figure in assembling the networks and technology to enable what we now know as the internet. She is most famous for her invention of the Spanning Tree Protocol (STP), which is fundamental to the operation of network bridges, while working for Digital Equipment Corporation, thus earning her nickname "Mother of the Internet". Her innovations have made a huge impact on how networks self-organize and move data. She also made large contributions to many other areas of network design and standardization: for example, enabling today's link-state routing protocols, to be more robust, scalable, and easy to manage.
Urs Hölzle is a Swiss software engineer and technology executive. As Google's eighth employee and its first VP of Engineering, he has shaped much of Google's development processes and infrastructure, as well as its engineering culture. His most notable contributions include leading the development of fundamental cloud infrastructure such as energy-efficient data centers, distributed compute and storage systems, and software-defined networking. Until July 2023, he was the Senior Vice President of Technical Infrastructure and Google Fellow at Google. In July 2023, he transitioned to being a Google Fellow only.
Özalp Babaoğlu, is a Turkish computer scientist. He was professor of computer science at the University of Bologna, Italy until 2022. He received a Ph.D. in 1981 from the University of California at Berkeley. He is the recipient of 1982 Sakrison Memorial Award, 1989 UNIX InternationalRecognition Award and 1993 USENIX AssociationLifetime Achievement Award for his contributions to the UNIX system community and to Open Industry Standards. Before moving to Bologna in 1988, Babaoğlu was an associate professor in the Department of Computer Science at Cornell University. He has participated in several European research projects in distributed computing and complex systems. Babaoğlu is an ACM Fellow and has served as a resident fellow of the Institute of Advanced Studies at the University of Bologna and on the editorial boards for ACM Transactions on Computer Systems, ACM Transactions on Autonomous and Adaptive Systems and Springer-Verlag Distributed Computing.
Randy Howard Katz is a distinguished professor emeritus at University of California, Berkeley of the electrical engineering and computer science department.
Hypercube-based NEAT, or HyperNEAT, is a generative encoding that evolves artificial neural networks (ANNs) with the principles of the widely used NeuroEvolution of Augmented Topologies (NEAT) algorithm developed by Kenneth Stanley. It is a novel technique for evolving large-scale neural networks using the geometric regularities of the task domain. It uses Compositional Pattern Producing Networks (CPPNs), which are used to generate the images for Picbreeder.orgArchived 2011-07-25 at the Wayback Machine and shapes for EndlessForms.comArchived 2018-11-14 at the Wayback Machine. HyperNEAT has recently been extended to also evolve plastic ANNs and to evolve the location of every neuron in the network.
Data center bridging (DCB) is a set of enhancements to the Ethernet local area network communication protocol for use in data center environments, in particular for use with clustering and storage area networks.
Edward H. Sussenguth Jr. was an American engineer and former IBM employee, known best for his work on Systems Network Architecture (SNA). He was also a contributor to the architecture of IBM's Advanced Computer System (ACS).
Ramesh Govindan is an Indian-American professor of computer science. He is the Northrop Grumman Chair in Engineering and Professor of Computer Science and Electrical Engineering at the University of Southern California.
Lin Cai is a Chinese-Canadian telecommunications engineer known for her work on topology control in wireless networks and in the applications of wireless communications to self-driving cars. She was educated at the University of Waterloo and is a professor of electrical and computer engineering at the University of Victoria.
Torsten Hoefler is a Professor of Computer Science at ETH Zurich and the Chief Architect for Machine Learning at the Swiss National Supercomputing Centre. Previously, he led the Advanced Application and User Support team at the Blue Waters Directorate of the National Center for Supercomputing Applications, and held an adjunct professor position at the Computer Science Department at the University of Illinois at Urbana Champaign. His expertise lies in large-scale parallel computing and high-performance computing systems. He focuses on applications in large-scale artificial intelligence as well as climate sciences.
References
- ↑ "Curriculum vitae" (PDF). Retrieved 2021-11-13.
- ↑ "IEEE Fellows directory" . Retrieved 2021-11-13.
