ISP Service Interruptions: What to Do When the Internet Goes Down

Information technology (IT) is a set of related fields within information and communications technology (ICT), that encompass computer systems, software, programming languages, data and information processing, and storage. Information technology is an application of computer science and computer engineering.

The term is commonly used as a synonym for computers and computer networks, but it also encompasses other information distribution technologies such as television and telephones. Several products or services within an economy are associated with information technology, including computer hardware, software, electronics, semiconductors, internet, telecom equipment, and e-commerce.^[1][a]

An information technology system (IT system) is generally an information system, a communications system, or, more specifically speaking, a computer system — including all hardware, software, and peripheral equipment — operated by a limited group of IT users, and an IT project usually refers to the commissioning and implementation of an IT system.^[3] IT systems play a vital role in facilitating efficient data management, enhancing communication networks, and supporting organizational processes across various industries. Successful IT projects require meticulous planning and ongoing maintenance to ensure optimal functionality and alignment with organizational objectives.^[4]

Although humans have been storing, retrieving, manipulating, analysing and communicating information since the earliest writing systems were developed,^[5] the term information technology in its modern sense first appeared in a 1958 article published in the Harvard Business Review; authors Harold J. Leavitt and Thomas L. Whisler commented that "the new technology does not yet have a single established name. We shall call it information technology (IT)."^[6] Their definition consists of three categories: techniques for processing, the application of statistical and mathematical methods to decision-making, and the simulation of higher-order thinking through computer programs.^[6]

Based on the storage and processing technologies employed, it is possible to distinguish four distinct phases of IT development: pre-mechanical (3000 BC – 1450 AD), mechanical (1450 – 1840), electromechanical (1840 – 1940), and electronic (1940 to present).^[5]

Ideas of computer science were first mentioned before the 1950s under the Massachusetts Institute of Technology (MIT) and Harvard University, where they had discussed and began thinking of computer circuits and numerical calculations. As time went on, the field of information technology and computer science became more complex and was able to handle the processing of more data. Scholarly articles began to be published from different organizations.^[7]

During the early computing, Alan Turing, J. Presper Eckert, and John Mauchly were considered some of the major pioneers of computer technology in the mid-1900s. Giving them such credit for their developments, most of their efforts were focused on designing the first digital computer. Along with that, topics such as artificial intelligence began to be brought up as Turing was beginning to question such technology of the time period.^[8]

Devices have been used to aid computation for thousands of years, probably initially in the form of a tally stick.^[9] The Antikythera mechanism, dating from about the beginning of the first century BC, is generally considered the earliest known mechanical analog computer, and the earliest known geared mechanism.^[10] Comparable geared devices did not emerge in Europe until the 16th century, and it was not until 1645 that the first mechanical calculator capable of performing the four basic arithmetical operations was developed.^[11]

Electronic computers, using either relays or valves, began to appear in the early 1940s. The electromechanical Zuse Z3, completed in 1941, was the world's first programmable computer, and by modern standards one of the first machines that could be considered a complete computing machine. During the Second World War, Colossus developed the first electronic digital computer to decrypt German messages. Although it was programmable, it was not general-purpose, being designed to perform only a single task. It also lacked the ability to store its program in memory; programming was carried out using plugs and switches to alter the internal wiring.^[12] The first recognizably modern electronic digital stored-program computer was the Manchester Baby, which ran its first program on 21 June 1948.^[13]

The development of transistors in the late 1940s at Bell Laboratories allowed a new generation of computers to be designed with greatly reduced power consumption. The first commercially available stored-program computer, the Ferranti Mark I, contained 4050 valves and had a power consumption of 25 kilowatts. By comparison, the first transistorized computer developed at the University of Manchester and operational by November 1953, consumed only 150 watts in its final version.^[14]

Several other breakthroughs in semiconductor technology include the integrated circuit (IC) invented by Jack Kilby at Texas Instruments and Robert Noyce at Fairchild Semiconductor in 1959, silicon dioxide surface passivation by Carl Frosch and Lincoln Derick in 1955,^[15] the first planar silicon dioxide transistors by Frosch and Derick in 1957,^[16] the MOSFET demonstration by a Bell Labs team,^{[17][18][19][20]} the planar process by Jean Hoerni in 1959,^[21][22][23] and the microprocessor invented by Ted Hoff, Federico Faggin, Masatoshi Shima, and Stanley Mazor at Intel in 1971. These important inventions led to the development of the personal computer (PC) in the 1970s, and the emergence of information and communications technology (ICT).^[24]

By 1984, according to the National Westminster Bank Quarterly Review, the term information technology had been redefined as "the convergence of telecommunications and computing technology (...generally known in Britain as information technology)." We then begin to see the appearance of the term in 1990 contained within documents for the International Organization for Standardization (ISO).^[25]

Innovations in technology have already revolutionized the world by the twenty-first century as people have gained access to different online services. This has changed the workforce drastically as thirty percent of U.S. workers were already in careers in this profession. 136.9 million people were personally connected to the Internet, which was equivalent to 51 million households.^[26] Along with the Internet, new types of technology were also being introduced across the globe, which has improved efficiency and made things easier across the globe.

As technology revolutionized society, millions of processes could be completed in seconds. Innovations in communication were crucial as people increasingly relied on computers to communicate via telephone lines and cable networks. The introduction of the email was considered revolutionary as "companies in one part of the world could communicate by e-mail with suppliers and buyers in another part of the world...".^[27]

Not only personally, computers and technology have also revolutionized the marketing industry, resulting in more buyers of their products. In 2002, Americans exceeded $28 billion in goods just over the Internet alone while e-commerce a decade later resulted in $289 billion in sales.^[27] And as computers are rapidly becoming more sophisticated by the day, they are becoming more used as people are becoming more reliant on them during the twenty-first century.

Electronic data processing or business information processing can refer to the use of automated methods to process commercial data. Typically, this uses relatively simple, repetitive activities to process large volumes of similar information. For example: stock updates applied to an inventory, banking transactions applied to account and customer master files, booking and ticketing transactions to an airline's reservation system, billing for utility services. The modifier "electronic" or "automatic" was used with "data processing" (DP), especially c. 1960, to distinguish human clerical data processing from that done by computer.^[28][29]

Early electronic computers such as Colossus made use of punched tape, a long strip of paper on which data was represented by a series of holes, a technology now obsolete.^[30] Electronic data storage, which is used in modern computers, dates from World War II, when a form of delay-line memory was developed to remove the clutter from radar signals, the first practical application of which was the mercury delay line.^[31] The first random-access digital storage device was the Williams tube, which was based on a standard cathode ray tube.^[32] However, the information stored in it and delay-line memory was volatile in the fact that it had to be continuously refreshed, and thus was lost once power was removed. The earliest form of non-volatile computer storage was the magnetic drum, invented in 1932^[33] and used in the Ferranti Mark 1, the world's first commercially available general-purpose electronic computer.^[34]

IBM introduced the first hard disk drive in 1956, as a component of their 305 RAMAC computer system.^[35]: 6 Most digital data today is still stored magnetically on hard disks, or optically on media such as CD-ROMs.^{[36]: 4–5} Until 2002 most information was stored on analog devices, but that year digital storage capacity exceeded analog for the first time. As of 2007^[update], almost 94% of the data stored worldwide was held digitally:^[37] 52% on hard disks, 28% on optical devices, and 11% on digital magnetic tape. It has been estimated that the worldwide capacity to store information on electronic devices grew from less than 3 exabytes in 1986 to 295 exabytes in 2007,^[38] doubling roughly every 3 years.^[39]

Database Management Systems (DMS) emerged in the 1960s to address the problem of storing and retrieving large amounts of data accurately and quickly. An early such system was IBM's Information Management System (IMS),^[40] which is still widely deployed more than 50 years later.^[41] IMS stores data hierarchically,^[40] but in the 1970s Ted Codd proposed an alternative relational storage model based on set theory and predicate logic and the familiar concepts of tables, rows, and columns. In 1981, the first commercially available relational database management system (RDBMS) was released by Oracle.^[42]

All DMS consist of components; they allow the data they store to be accessed simultaneously by many users while maintaining its integrity.^[43] All databases are common in one point that the structure of the data they contain is defined and stored separately from the data itself, in a database schema.^[40]

In the late 2000s (decade), the extensible markup language (XML) has become a popular format for data representation. Although XML data can be stored in normal file systems, it is commonly held in relational databases to take advantage of their "robust implementation verified by years of both theoretical and practical effort."^[44] As an evolution of the Standard Generalized Markup Language (SGML), XML's text-based structure offers the advantage of being both machine- and human-readable.^[45]

Data transmission has three aspects: transmission, propagation, and reception.^[46] It can be broadly categorized as broadcasting, in which information is transmitted unidirectionally downstream, or telecommunications, with bidirectional upstream and downstream channels.^[38]

XML has been increasingly employed as a means of data interchange since the early 2000s,^[47] particularly for machine-oriented interactions such as those involved in web-oriented protocols such as SOAP,^[45] describing "data-in-transit rather than... data-at-rest".^[47]

Hilbert and Lopez identify the exponential pace of technological change (a kind of Moore's law): machines' application-specific capacity to compute information per capita roughly doubled every 14 months between 1986 and 2007; the per capita capacity of the world's general-purpose computers doubled every 18 months during the same two decades; the global telecommunication capacity per capita doubled every 34 months; the world's storage capacity per capita required roughly 40 months to double (every 3 years); and per capita broadcast information has doubled every 12.3 years.^[38]

Massive amounts of data are stored worldwide every day, but unless it can be analyzed and presented effectively it essentially resides in what have been called data tombs: "data archives that are seldom visited".^[48] To address that issue, the field of data mining — "the process of discovering interesting patterns and knowledge from large amounts of data"^[49] — emerged in the late 1980s.^[50]

The technology and services IT provides for sending and receiving electronic messages (called "letters" or "electronic letters") over a distributed (including global) computer network. In terms of the composition of elements and the principle of operation, electronic mail practically repeats the system of regular (paper) mail, borrowing both terms (mail, letter, envelope, attachment, box, delivery, and others) and characteristic features — ease of use, message transmission delays, sufficient reliability and at the same time no guarantee of delivery. The advantages of e-mail are: easily perceived and remembered by a person addresses of the form user_name@domain_name (for example, somebody@example.com); the ability to transfer both plain text and formatted, as well as arbitrary files; independence of servers (in the general case, they address each other directly); sufficiently high reliability of message delivery; ease of use by humans and programs.

The disadvantages of e-mail include: the presence of such a phenomenon as spam (massive advertising and viral mailings); the theoretical impossibility of guaranteed delivery of a particular letter; possible delays in message delivery (up to several days); limits on the size of one message and on the total size of messages in the mailbox (personal for users).

A search system is software and hardware complex with a web interface that provides the ability to look for information on the Internet. A search engine usually means a site that hosts the interface (front-end) of the system. The software part of a search engine is a search engine (search engine) — a set of programs that provides the functionality of a search engine and is usually a trade secret of the search engine developer company. Most search engines look for information on World Wide Web sites, but there are also systems that can look for files on FTP servers, items in online stores, and information on Usenet newsgroups. Improving search is one of the priorities of the modern Internet (see the Deep Web article about the main problems in the work of search engines).

Companies in the information technology field are often discussed as a group as the "tech sector" or the "tech industry."^[51][52][53] These titles can be misleading at times and should not be mistaken for "tech companies," which are generally large scale, for-profit corporations that sell consumer technology and software. From a business perspective, information technology departments are a "cost center" the majority of the time. A cost center is a department or staff which incurs expenses, or "costs," within a company rather than generating profits or revenue streams. Modern businesses rely heavily on technology for their day-to-day operations, so the expenses delegated to cover technology that facilitates business in a more efficient manner are usually seen as "just the cost of doing business." IT departments are allocated funds by senior leadership and must attempt to achieve the desired deliverables while staying within that budget. Government and the private sector might have different funding mechanisms, but the principles are more or less the same. This is an often overlooked reason for the rapid interest in automation and artificial intelligence, but the constant pressure to do more with less is opening the door for automation to take control of at least some minor operations in large companies.

Many companies now have IT departments for managing the computers, networks, and other technical areas of their businesses. Companies have also sought to integrate IT with business outcomes and decision-making through a BizOps or business operations department.^[54]

In a business context, the Information Technology Association of America has defined information technology as "the study, design, development, application, implementation, support, or management of computer-based information systems".^{[55][page needed]} The responsibilities of those working in the field include network administration, software development and installation, and the planning and management of an organization's technology life cycle, by which hardware and software are maintained, upgraded, and replaced.

Information services is a term somewhat loosely applied to a variety of IT-related services offered by commercial companies,^[56][57][58] as well as data brokers.

• 
  U.S. Employment distribution of computer systems design and related services, 2011^[59]
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  U.S. Employment in the computer systems and design related services industry, in thousands, 1990–2011^[59]
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  U.S. Occupational growth and wages in computer systems design and related services, 2010–2020^[59]
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  U.S. projected percent change in employment in selected occupations in computer systems design and related services, 2010–2020^[59]
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  U.S. projected average annual percent change in output and employment in selected industries, 2010–2020^[59]

The field of information ethics was established by mathematician Norbert Wiener in the 1940s.^[60]: 9 Some of the ethical issues associated with the use of information technology include:^{[61]: 20–21}

• Breaches of copyright by those downloading files stored without the permission of the copyright holders
• Employers monitoring their employees' emails and other Internet usage
• Unsolicited emails
• Hackers accessing online databases
• Web sites installing cookies or spyware to monitor a user's online activities, which may be used by data brokers

Research suggests that IT projects in business and public administration can easily become significant in scale. Research conducted by McKinsey in collaboration with the University of Oxford suggested that half of all large-scale IT projects (those with initial cost estimates of $15 million or more) often failed to maintain costs within their initial budgets or to complete on time.^[62]

• Information and communications technology (ICT)
• IT infrastructure
• Outline of information technology
• Knowledge society

• Allen, T.; Morton, M. S. Morton, eds. (1994), Information Technology and the Corporation of the 1990s, Oxford University Press.
• Gitta, Cosmas and South, David (2011). Southern Innovator Magazine Issue 1: Mobile Phones and Information Technology: United Nations Office for South-South Cooperation. ISSN 2222-9280.
• Gleick, James (2011).The Information: A History, a Theory, a Flood. New York: Pantheon Books.
• Price, Wilson T. (1981), Introduction to Computer Data Processing, Holt-Saunders International Editions, ISBN 978-4-8337-0012-2.
• Shelly, Gary, Cashman, Thomas, Vermaat, Misty, and Walker, Tim. (1999). Discovering Computers 2000: Concepts for a Connected World. Cambridge, Massachusetts: Course Technology.
• Webster, Frank, and Robins, Kevin. (1986). Information Technology — A Luddite Analysis. Norwood, NJ: Ablex.

• Learning materials related to Information technology at Wikiversity
• Media related to Information technology at Wikimedia Commons
• Quotations related to Information technology at Wikiquote

Series of information technology R&D programmes of the EC/EU

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European Strategic Programme on Research in Information Technology (ESPRIT) was a series of integrated programmes of information technology research and development projects and industrial technology transfer measures. It was a European Union initiative managed by the Directorate General for Industry (DG III) of the European Commission.

Programmes

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Five ESPRIT programmes (ESPRIT 0 to ESPRIT 4) ran consecutively from 1983 to 1998. ESPRIT 4 was succeeded by the Information Society Technologies (IST) programme in 1999.

Projects

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Some of the projects and products supported by ESPRIT were:

This list is incomplete; you can help by adding missing items. (May 2016)

• BBC Domesday Project, a partnership between Acorn Computers Ltd, Philips, Logica and the BBC with some funding from the European Commission's ESPRIT programme, to mark the 900th anniversary of the original Domesday Book, an 11th-century census of England. It is frequently cited as an example of digital obsolescence on account of the physical medium used for data storage.
• CGAL, the Computational Geometry Algorithms Library (CGAL) is a software library that aims to provide easy access to efficient and reliable algorithms in computational geometry. While primarily written in C++, Python bindings are also available. The original funding for the project came from the ESPRIT project.
• Eurocoop & Eurocode: ESPRIT III projects to develop systems for supporting distributed collaborative working.
• Open Document Architecture, a free and open international standard document file format maintained by the ITU-T to replace all proprietary document file formats. In 1985 ESPRIT financed a pilot implementation of the ODA concept, involving, among others, Bull corporation, Olivetti, ICL and Siemens AG.
• Paradise: A sub-project of the ESPRIT I project, COSINE^[1] which established a pan-European computer-based network infrastructure that enabled research workers to communicate with each other using OSI. Paradise implemented a distributed X.500 directory across the academic community.
• Password: Part of the ESPRIT III VALUE project,^[2] developed secure applications based on the X.509 standard for use in the academic community.
• ProCoS I Project (1989–1991), ProCoS II Project (1992–1995), and ProCoS-WG Working Group (1994–1997) on Provably Correct Systems, under ESPRIT II.^[3]
• REDO Project (1989–1992) on software maintenance, under ESPRIT II.^[4]
• RAISE, Rigorous Approach to Industrial Software Engineering, was developed as part of the European ESPRIT II LaCoS project in the 1990s, led by Dines Bjørner.
• REMORA methodology is an event-driven approach for designing information systems, developed by Colette Rolland. This methodology integrates behavioral and temporal aspects with concepts for modelling the structural aspects of an information system. In the ESPRIT I project TODOS, which has led to the development of an integrated environment for the design of office information systems (OISs),
• SAMPA: The Speech Assessment Methods Phonetic Alphabet (SAMPA) is a computer-readable phonetic script originally developed in the late 1980s.
• SCOPES: The Systematic Concurrent design of Products, Equipments and Control Systems project was a 3-year project launched in July, 1992, with the aim of specifying integrated computer-aided (CAD) tools for design and control of flexible assembly lines.
• SIP (Advanced Algorithms and Architectures for Speech and Image Processing), a partnership between Thomson-CSF, AEG, CSELT and ENSPS (ESPRIT P26), to develop the algorithmic and architectural techniques required for recognizing and understanding spoken or visual signals and to demonstrate these techniques in suitable applications.^[5]
• StatLog: "ESPRIT project 5170. Comparative testing and evaluation of statistical and logical learning algorithms on large-scale applications to classification, prediction and control"^[6]
• SUNDIAL (Speech UNderstanding DIALgue)^[7] started in September 1988 with Logica Ltd. as prime contractor, together with Erlangen University, CSELT, Daimler-Benz, Capgemini, Politecnico di Torino. Followed the Esprit P.26 to implement and evaluate dialogue systems to be used in telephone industry.^[8] The final results were 4 prototypes in 4 languages, involving speech and understanding technologies, and some criteria for evaluation were also reported.^[9]
• ISO 14649 (1999 onward): A standard for STEP-NC for CNC control developed by ESPRIT and Intelligent Manufacturing System.^[10]
• Transputers: "ESPRIT Project P1085" to develop a high performance multi-processor computer and a package of software applications to demonstrate its performance.^[11]
• Web for Schools, an ESPRIT IV project that introduced the World Wide Web in secondary schools in Europe. Teachers created more than 70 international collaborative educational projects that resulted in an exponential growth of teacher communities and educational activities using the World Wide Web
• AGENT: A project led by IGN-France aiming at developing an operational automated map generalisation software based on multi-agent system paradigm.

• ESPRIT home page