Decentralized computing is the allocation of resources, both hardware and software, to each individual workstation, or office location. In contrast, centralized computing exists when the majority of functions are carried out, or obtained from a remote centralized location. Decentralized computing is a trend in modern-day business environments. This is the opposite of centralized computing, which was prevalent during the early days of computers. A decentralized computer system has many benefits over a conventional centralized network. Desktop computers have advanced so rapidly, that their potential performance far exceeds the requirements of most business applications. This results in most desktop computers remaining idle (in relation to their full potential). A decentralized system can use the potential of these systems to maximize efficiency. However, it is debatable whether these networks increase overall effectiveness.
All computers have to be updated individually with new software, unlike a centralised computer system. Decentralised systems still enable file sharing and all computers can share peripherals such as printers and scanners as well as modems, allowing all the computers in the network to connect to the internet.
A collection of decentralized computers systems are components of a larger computer network, held together by local stations of equal importance and capability. These systems are capable of running independently of each other.
Origins of decentralized computing
The origins of decentralized computing originate from the work of David Chaum.
During 1979 he conceived the first concept of a decentralized computer system known as Mix Network. It enabled for an anonymous email communications network which decentralized the authentication of the messages in a protocol which would become the precursor to Onion Routing, the protocol of the infamous TOR browser. Through this initial development of an anonymous communications network, David Chaum applied his Mix Network philosophy to design the world's first decentralized payment system and patented it in 1980 (Patent US4529870). Later in 1982, for his PhD dissertation, he wrote about the need for decentralized computing services in the paper Computer Systems Established, Maintained and Trusted by Mutually Suspicious Groups. He would go on to launch the world's first decentralized payment system in 1990 called eCash. (Digicash)
Based on a "grid model" a peer-to-peer system, or P2P system, is a collection of applications run on several local computers, which connect remotely to each other to complete a function or a task. There is no main operating system to which satellite systems are subordinate. This approach to software development (and distribution) affords developers great savings, as they don't have to create a central control point. An example application is LAN messaging which allows users to communicate without a central server.
File sharing applications
One of the most interesting debates over decentralized computing involved Napster, a music file sharing application, which granted users access to an enormous database of files. Record companies brought legal action against Napster, blaming the system for lost record sales. Napster was found in violation of copyright laws by distributing unlicensed software, and was shut down.
After the fall of Napster, there was a demand for a file sharing system that would be less vulnerable to litigation. Gnutella, a decentralized system, was developed. This system allowed files to be queried and shared between users, without a central directory, and therefore shielded the network from legal issues of individual users.
- Centralized computing
- Decentralized information technology
- Decentralized network 42
- Decentralized Autonomous Organization
- Federated social network
- Crowcroft, Jon. Moreton; Tim. Pratt, Ian. Twigg (2003). "Peer-to-Peer Systems and the Grid" (PDF). Retrieved 2013-11-06.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>
- Reid, Alex (1995). "IT Strategy Review, Distributed Computing – Rough Draft". Retrieved 2013-11-06.<templatestyles src="Module:Citation/CS1/styles.css"></templatestyles>