What is allowed in computer on a distributed network?
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Distributed computing is a field of computer science that studies distributed systems. A distributed system is a system whose components are located on different networked computers, which then communicate and coordinate their actions by passing messages to each other.[1] The components interact with each other in order to achieve a common goal. Three significant characteristics of distributed systems are: concurrency of components, lack of a global clock, and independent failure of components.[1] Examples of distributed systems vary from SOA-based systems to massively multiplayer online games to peer-to-peer applications.
A computer program that runs within a distributed system is called a distributed program (and distributed programming is the process of writing such programs).[2] There are many different types of implementations for the message passing mechanism, including pure HTTP, RPC-like connectors and message queues[3].
A goal or challenge pursued by some computer scientists and practitioners in distributed systems is location transparency; however, this goal has fallen out of favor in industry. As distributed systems are a different concept from conventional non-distributed systems, the differences, such as network partitions, partial system failures, and partial upgrades, cannot simply be "papered over" by attempts at "transparency" (see CAP theorem).[citation needed]
Distributed computing also refers to the use of distributed systems to solve computational problems. In distributed computing, a problem is divided into many tasks, each of which is solved by one or more computers,[4] which communicate with each other via message passing
A computer program that runs within a distributed system is called a distributed program (and distributed programming is the process of writing such programs).[2] There are many different types of implementations for the message passing mechanism, including pure HTTP, RPC-like connectors and message queues[3].
A goal or challenge pursued by some computer scientists and practitioners in distributed systems is location transparency; however, this goal has fallen out of favor in industry. As distributed systems are a different concept from conventional non-distributed systems, the differences, such as network partitions, partial system failures, and partial upgrades, cannot simply be "papered over" by attempts at "transparency" (see CAP theorem).[citation needed]
Distributed computing also refers to the use of distributed systems to solve computational problems. In distributed computing, a problem is divided into many tasks, each of which is solved by one or more computers,[4] which communicate with each other via message passing
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