Internet area network

An Internet area network (IAN) is a concept for a communications network that connects voice and data endpoints within a cloud environment over IP, replacing an existing local area network (LAN), wide area network (WAN) or the public switched telephone network (PSTN).

Overview

An IAN securely connects endpoints through the public Internet, so that they can communicate and exchange information and data without being tied to a physical location.

The IAN eliminates a geographic profile for the network entirely because the applications and communications services have become virtualized. Endpoints need to be connected only over a broadband connection across the Internet. Opposed to IAN, LAN interconnects computers in a limited area such as a home, a school, a computer laboratory or an office building. The WAN also differs from the IAN, because it is a network that covers a broad area, such as any telecommunications network that links across metropolitan, regional, or national boundaries, using private or public network transports.

Hosted in the cloud by a managed services provider, an IAN platform offers users secure access to information from anywhere, at any time, via an Internet connection. Users also have access to telephony, voicemail, e-mail, and fax services from any connected endpoint. For businesses, the hosted model reduces IT and communications expenses, protects against loss of data and disaster downtime, while realizing a greater return on their invested resources through increased employee productivity and reduction in telecom costs.

History

The IAN is rooted in the rise of cloud computing, the underlying concept of which dates back to the 1950s; when large-scale mainframes became available in academia and corporations, accessible via thin clients and terminal computers. Because it was costly to buy a mainframe, it became important to find ways to get the greatest return on the investment in them, allowing multiple users to share both the physical access to the computer from multiple terminals as well as to share the CPU time, eliminating periods of inactivity, which became known in the industry as time-sharing.

The increasing demand and use of computers in universities and research labs in the late 1960s generated the need to provide high-speed interconnections between computer systems. A 1970 report from the Lawrence Radiation Laboratory detailing the growth of their "Octopus" network gave a good indication of the situation.

As computers became more prevalent, scientists and technologists explored ways to make large-scale computing power available to more users through time sharing, experimenting with algorithms to provide the optimal use of the infrastructure, platform and applications with prioritized access to the CPU and efficiency for the end users.

John McCarthy opined in the 1960s that "computation may someday be organized as a public utility.". Almost all the modern-day characteristics of cloud computing (elastic provision, provided as a utility, online, illusion of infinite supply), the comparison to the electricity industry and the use of public, private, government, and community forms, were thoroughly explored in Douglas Parkhill's 1966 book, The Challenge of the Computer Utility. Other scholars have shown that cloud computing's roots go all the way back to the 1950s when scientist Herb Grosch (the author of Grosch's law) postulated that the entire world would operate on dumb terminals powered by about 15 large data centers. Due to the expense of these powerful computers, many corporations and other entities could avail themselves of computing capability through time sharing and several organizations, such as GE's GEISCO, IBM subsidiary The Service Bureau Corporation ( SBC, founded in 1957), Tymshare (founded in 1966), National CSS (founded in 1967 and bought by Dun & Bradstreet in 1979), Dial Data (bought by Tymshare in 1968), and Bolt, Beranek and Newman (BBN) marketed time sharing as a commercial venture.

The development of the Internet from being document centric via semantic data towards more and more services was described as " Dynamic Web". This contribution focused in particular in the need for better meta-data able to describe not only implementation details but also conceptual details of model-based applications.

In the 1990s, telecommunications companies who previously offered primarily dedicated point-to-point data circuits, began offering virtual private network (VPN) services with comparable quality of service but at a much lower cost. By switching traffic to balance utilization as they saw fit, they were able to optimize their overall network usage. The cloud symbol was used to denote the demarcation point between that which was the responsibility of the provider and that which was the responsibility of the users. Cloud computing extends this boundary to cover servers as well as the network infrastructure.

After the dot-com bubble, Amazon played a key role in the development of cloud computing by modernizing their data centers, which, like most computer networks, were using as little as 10% of their capacity at any one time, just to leave room for occasional spikes. Having found that the new cloud architecture resulted in significant internal efficiency improvements whereby small, fast-moving "two-pizza teams" (teams small enough to be fed with two pizzas) could add new features faster and more easily, Amazon initiated a new product development effort to provide cloud computing to external customers, and launched Amazon Web Services (AWS) on a utility computing basis in 2006.

In early 2008, Eucalyptus became the first open-source, AWS API-compatible platform for deploying private clouds. In early 2008, OpenNebula, enhanced in the RESERVOIR European Commission-funded project, became the first open-source software for deploying private and hybrid clouds, and for the federation of clouds. In the same year, efforts were focused on providing quality of service guarantees (as required by real-time interactive applications) to cloud-based infrastructures, in the framework of the IRMOS European Commission-funded project, resulting to a real-time cloud environment. By mid-2008, Gartner saw an opportunity for cloud computing "to shape the relationship among consumers of IT services, those who use IT services and those who sell them" and observed that "organizations are switching from company-owned hardware and software assets to per-use service-based models" so that the "projected shift to computing... will result in dramatic growth in IT products in some areas and significant reductions in other areas."

In 2011, RESERVOIR was established in Europe to create open source technologies, to allow cloud providers to build an advanced cloud with the balancing of workloads, lowering costs and moving workloads across geographic locations through a federation of clouds. Also in 2011, IBM announced the Smarter Computing framework to support a Smarter Planet. Among the various components of the Smarter Computing foundation, cloud computing is a critical piece.

Now, the ubiquitous availability of high-capacity networks, low-cost computers and storage devices as well as the widespread adoption of hardware virtualization, service-oriented architecture, autonomic, and utility computing have led to a tremendous growth in cloud computing. Virtual worlds and peer-to-peer architectures have paved the way for the concept of an IAN.

iAreaNet was founded in 1999 by CEO James DeCrescenzo as a company called Internet Area Network, devoted to providing offsite data storage and disaster prevention before the cloud existed in widely deployed commercial form. It pioneered the idea of an IAN. Since then, it has strengthened operations and has made significant investments in developing a powerful infrastructure to provide businesses with an array of technology solutions, including the patent-pending iAreaOffice, which commercializes the concept of an IAN by eliminating the need for traditional LAN, WAN or telephone system for business communications.

See also

*Cloud-computing comparison
*Cloud database
* Cloud storage
*Cloud collaboration
*VPN

Notes

References

* Winkleman, Roy. “Networking Handbook.” Florida Center for Instructional Technology College of Education. 2009-2013. http://fcit.usf.edu/network/chap1/chap1.htm
* iAreaNetwork Vision Statement. https://web.archive.org/web/20130408032637/http://iareanet.com/about-the-cloud-company.html
* Martínez-Mateo, J., Munoz-Hernandez, S. and Pérez-Rey, D. “A Discussion of Thin Client Technology for Computer Labs.” University of Madrid. May 2010. https://www.researchgate.net/publication/45917654_A_Discussion_of_Thin_Client_Technology_for_Computer_Labs
* McCarthy, John. “Reminiscences on the History of Time Sharing.” Stanford University. 1983 Winter or Spring. https://web.archive.org/web/20071020032705/http://www-formal.stanford.edu/jmc/history/timesharing/timesharing.html
* Mendicino, Samuel. Computer Networks. 1972. pp 95–100. http://rogerdmoore.ca/PS/OCTOA/OCTO.html
* Garfinkle, Simson. “The Cloud Imperative.” MIT Technology Review. Oct. 3, 2011. http://www.technologyreview.com/news/425623/the-cloud-imperative/
* https://www.amazon.com/Challenge-Computer-Utility-Douglas-Parkhill/dp/0201057204
* Deboosere, L., De Wachter, J., Simoens, P., De Turck, F., Dhoedt, B., and Demeester, P. “Thin Client Computing Solutions in Low- and High-Motion Scenarios.” Third International Conference on Networking and Services (ICNS), 2007.
* Gardner, W. David. “Author Of Grosch's Law Going Strong At 87.” InformationWeek. April 12, 2005. http://www.informationweek.com/author-of-groschs-law-going-strong-at-87/160701576
* McCarthy, John. “Reminiscences on the History of Time Sharing.” Stanford University. 1983 Winter or Spring. https://web.archive.org/web/20071020032705/http://www-formal.stanford.edu/jmc/history/timesharing/timesharing.html
* “A History of the Dynamic Web.” Pingdom. Dec. 7. 2007. http://royal.pingdom.com/2007/12/07/a-history-of-the-dynamic-web/
* “Virtual Private Networks: Managing Telecom’s Golden Horde.” Billing World. May 1, 1999. http://www.billingworld.com/articles/1999/05/virtual-private-networks-managing-telecom-s-golde.aspx
* Anders, George. “Inside Amazon's Idea Machine: How Bezos Decodes The Customer.” Forbes. April 2012
* Arrington, Michael. “Interview with Jeff Bezos On Amazon Web Services.” TechCrunch, Nov. 14, 2006. https://techcrunch.com/2006/11/14/interview-with-jeff-bezos-on-amazon-web-services/
* OpenNebula Website http://www.opennebula.org/start
* IRMOS Website http://www.irmosproject.eu/ {{Webarchive, url=https://web.archive.org/web/20181010014859/http://www.irmosproject.eu/ , date=2018-10-10
* Plummer, Daryl. “Cloud Computing Confusion Leads to Opportunity.” Gartner Inc. June 2008
* RESERVOIR Website http://www.reservoir-fp7.eu/
* IBM Smarter Planet Home Page. http://www.ibm.com/smarter-computing/us/en/analytics-infrastructure/
* Naone, Erica. “Peer to Peer Virtual Worlds.” MIT Technology Review. April 16, 2008. http://www.technologyreview.com/news/409912/peer-to-peer-virtual-worlds/

External links

* https://web.archive.org/web/20130408032637/http://iareanet.com/about-the-cloud-company.html

Computer networks by scale