is a novel way of putting idle computers to work. Through a downloaded program when a computer that is connected to Internet is idle, server of the research group gives it some computational assignment. When the computer finishes the task, sends the results to the server of the research group and it is entered into a data bank. From the data bank researchers can extract various information of scientific interest.
Computing performed within a network of distributed computing facilities. The processors for this type of system usually function with control distributed in time and space throughout the network. Associated with the distributed process are distributed storage facilities.
A collection of computers linked together. Such systems can exist on a local area network (LAN), a wide area network (WAN), or the Internet. Distributed systems make several types of advanced computing systems possible, including client/server, multi-tier, and partitioned applications.
Distributed computing is a programming model in which processing occurs in many different places (or nodes) around a network. Processing can occur wherever it makes the most sense, whether that is on a server, personal computer, handheld device, or other smart device. In contrast to the two-node system prevalent today (the client and the centralized server), Microsoft .NET uses distributed computing.
Computing performed on geographically dispersed platforms connected via a network. Also referred to as network computing.
sharing workload over multiple computing devices.
An approach in which a computer system's data and programs are distributed across different computers on a network.
a type of system that divides a workload to computers connected to a network. The network may be either be enclosed in a room or out in the open, like the Internet. Distributed computing is also referred to as distributed processing, cooperative computing, and collective computing. See the Introduction section for a major treatment. See also: render farms, parallel processing. Pictures: Regular Computing vs. Distributed Computing diagram.
Decentralizing applications and databases to different computers across the network. Distributed relational database Distributes or duplicates tables to multiple database servers. Distributed relational database management system Is a software program that controls access to and maintenance of the stored data. It also provides for backup, recovery, and security. It is sometimes called a client/server database management system. Diverging data flow One which ‘splits’ into multiple data flows. Diverging data flows indicate that all or parts of a single data flow are routed to different destination.
Remote use of computing power through the internet while a computer is idle.
Information processing in which computing tasks are divided into two parts, one running on the client computer, the other on the server.
Expert Systems Lisp
a computer system in which several interconnected computers share the computing tasks assigned to the system [ IEEE 90].
The trend away from having big, centralized computers such as mini-computers and mainframes to bring processing power to the desk top. Often confused with distributed processing.
describes the situation where computing tasks are spread over more than one connected computer. For example, the Internet, or client / server computing.
Where computing functions, including data organization and storage, are distributed (via PCs) throughout an organization. See Centralized Computing.
Term for computer systems in which data and programs are distributed across different computers on a network, and shared.
Distributed Computing is an industry-standard software technology for setting up and managing computing and data exchange in a system of distributed computers. It is typically used in large networks of computing systems that include different size servers scattered geographically.
A system in which computational and storage tasks are distributed among multiple computers rather than being performed exclusively by a central computer. Often used to overcome the limitations of a single computer or to exploit the unused computing power of a group of computers. Client/server systems are one type of distributed computing. See also P2P.
Computing systems in which services to users are provided by teams of computers collaborating over a network.
Describes a way of using networked computers to work together collaboratively, using the combined power of their processors to perform large or difficult tasks.
A style of computing in which computing resources are spread throughout the organization, distributing data and processing chores to PCs, workstations, minicomputers and mainframes throughout an enterprise. Client/server systems typically are distributed computing, but distributed computing need not involve client/server systems. One use of distributed computing is in a distributed database, which allows information stored on separate systems to be accessed by disparate members of a network, creating a virtual central repository.
Distributed computing is a method of computer processing in which different parts of a program run simultaneously on two or more computers that are communicating with each other over a network. Distributed computing is a type of parallel processing. But the latter term is most commonly used to refer to processing in which different parts of a program run simultaneously on two or more processors that are part of the same computer.