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Intent-based Network
Intent-Based Networking (IBN) is an approach to network management that shifts the focus from manually configuring individual devices to specifying desired outcomes or business objectives, referred to as "intents". Description Rather than relying on low-level commands to configure the network, administrators define these high-level intents, and the network dynamically adjusts itself to meet these requirements. IBN simplifies the management of complex networks by ensuring that the network infrastructure aligns with the desired operational goals. For example, an implementer can explicitly state a network purpose with a policy such as "Allow hosts A and B to communicate with X bandwidth capacity" without the need to understand the detailed mechanisms of the underlying devices (e.g. switches), topology or routing configurations. Architecture Advances in Natural Language Understanding (NLU) systems, along with neural network-based algorithms like BERT, RoBERTa, GLUE, and ERNIE, h ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Network Management
Network management is the process of administering and managing computer networks. Services provided by this discipline include fault analysis, performance management, provisioning of networks and maintaining quality of service. Network management software is used by network administrators to help perform these functions. Technologies A small number of accessory methods exist to support network and network device management. Network management allows IT professionals to monitor network components within large network area. Access methods include the SNMP, command-line interface (CLI), custom XML, CMIP, Windows Management Instrumentation (WMI), Transaction Language 1 (TL1), CORBA, NETCONF, RESTCONF and the Java Management Extensions (JMX). Schemas include the Structure of Management Information (SMI), YANG, WBEM, the Common Information Model ( CIM Schema), and MTOSI amongst others. Value Effective network management can provide positive strategic impacts. For ex ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Natural Language Understanding
Natural language understanding (NLU) or natural language interpretation (NLI) is a subset of natural language processing in artificial intelligence that deals with machine reading comprehension. NLU has been considered an AI-hard problem. There is considerable commercial interest in the field because of its application to automated reasoning, machine translation, question answering, news-gathering, text categorization, voice-activation, archiving, and large-scale content analysis. History The program STUDENT, written in 1964 by Daniel Bobrow for his PhD dissertation at MIT, is one of the earliest known attempts at NLU by a computer. Eight years after John McCarthy coined the term artificial intelligence, Bobrow's dissertation (titled ''Natural Language Input for a Computer Problem Solving System'') showed how a computer could understand simple natural language input to solve algebra word problems. A year later, in 1965, Joseph Weizenbaum at MIT wrote ELIZA, an interactiv ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Service-level Agreement
A service-level agreement (SLA) is an agreement between a service provider and a customer. Particular aspects of the service – quality, availability, responsibilities – are agreed between the service provider and the service user. The most common component of an SLA is that the services should be provided to the customer as agreed upon in the contract. As an example, Internet service providers and telcos will commonly include service level agreements within the terms of their contracts with customers to define the level(s) of service being sold in plain language terms. In this case, the SLA will typically have a technical definition of '' mean time between failures'' (MTBF), '' mean time to repair'' or '' mean time to recovery'' (MTTR); identifying which party is responsible for reporting faults or paying fees; responsibility for various data rates; throughput; jitter; or similar measurable details. Overview A service-level agreement is an agreement between two or ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Key Performance Indicators
A performance indicator or key performance indicator (KPI) is a type of performance measurement. KPIs evaluate the success of an organization or of a particular activity (such as projects, programs, products and other initiatives) in which it engages. KPIs provide a focus for strategic and operational improvement, create an analytical basis for decision making and help focus attention on what matters most. Often success is simply the repeated, periodic achievement of some levels of operational goal (e.g. zero defects, 10/10 customer satisfaction), and sometimes success is defined in terms of making progress toward strategic goals. Accordingly, choosing the right KPIs relies upon a good understanding of what is important to the organization. What is deemed important often depends on the department measuring the performance – e.g. the KPIs useful to finance will differ from the KPIs assigned to sales. Since there is a need to understand well what is important, various technique ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Network Service
In computer networking, a network service is an application running at the network layer and above, that provides data storage, manipulation, presentation, communication or other capability which is often implemented using a client–server or peer-to-peer architecture based on application layer network protocols. Each service is usually provided by a server component running on one or more computers (often a dedicated server computer offering multiple services) and accessed via a network by client components running on other devices. However, the client and server components can both be run on the same machine. Clients and servers will often have a user interface, and sometimes other hardware associated with it. Examples Examples are the Domain Name System (DNS) which translates domain names to Internet Protocol (IP) addresses and the Dynamic Host Configuration Protocol (DHCP) to assign networking configuration information to network hosts. Authentication servers identify ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Enhanced Representation Through KNowledge Integration
''Enhanced'' is a 2019 Canadian-Japanese action film produced, written and directed by James Mark. The film premiered at the 2019 Toronto After Dark Film Festival. Plot A sinister government organization hunts down mutants, and one of such is a young woman with enhanced abilities. But when she encounters even stronger serial killer who emerges on the scene, agents and mutants are forced to question their allegiances. This is not an advertised sequel, but it is the continuation of the story from the 2017 movie "Kill Order". Cast * George Tchortov as George Shepherd * Alanna Bale as Anna * Adrian Holmes as Captain Williams * Chris Mark as David * Eric Hicks as Scott * Michael Joseph Delaney as Eli * Patrick Sabongui as Joseph * Elvis Stojko as Officer Reves * Stefano DiMatteo as Marco * Jeffrey R. Smith as Danny * Dorren Lee as Fanny * Eric Daniel as Mehran * Carl Bauer as Ritchie * Kevan Kase as Joey * Dylan Mask as Jim * Alain Moussi as Abel * Tyler James Williams as Ron * Mu ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
General Language Understanding Evaluation
These data set, datasets are used in machine learning, machine learning (ML) research and have been cited in Peer review, peer-reviewed academic journals. Datasets are an integral part of the field of machine learning. Major advances in this field can result from advances in learning algorithms (such as deep learning), computer hardware, and, less-intuitively, the availability of high-quality training datasets. High-quality labeled training datasets for Supervised learning, supervised and Semi-supervised learning, semi-supervised machine learning algorithms are usually difficult and expensive to produce because of the large amount of time needed to label the data. Although they do not need to be labeled, high-quality datasets for Unsupervised learning, unsupervised learning can also be difficult and costly to produce. Many organizations, including governments, publish and share their Data set, datasets. The datasets are classified, based on the licenses, as Open data and Open d ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
