"Data processing in which some or all of the processing, storage, and control functions, in addition to input/output functions, are situated in different places and connected by transmission facilities. The transparent access of both applications and data by programs and users is an important goal of distributed processing systems." (Microsoft Corporation, "SQL Server 7.0 System Administration Training Kit", 1999)
"Spreading the work of an information processing application among several computers." (Judith Hurwitz et al, "Service Oriented Architecture For Dummies" 2nd Ed., 2009)
"The activity of sharing (dividing) the logical processing of a database over two or more sites connected by a network." (Carlos Coronel et al, "Database Systems: Design, Implementation, and Management" 9th Ed., 2011)
"The use of multiple computers to fulfill a service request." (Craig S Mullins, "Database Administration: The Complete Guide to DBA Practices and Procedures" 2nd Ed., 2012)
"Distributed processing refers to a method that involves local processing and interaction among network nodes, connected by a topology, allowing communication with neighbors only. This approach enhances network performance, adaptability to changes, and robustness against failures by mimicking biological networks' properties." (Sowjanya Modalavalasa et al, "A review of robust distributed estimation strategies over wireless sensor networks", Signal Processing, 2021)
"A form of computing in which data and applications are distributed among disparate computers or systems, but are connected and integrated by means of network services and interoperability standards such that they function as a single environment." (Gartner) [source]
"Distributed computing is the method of making multiple computers work together to solve a common problem. It makes a computer network appear as a powerful single computer that provides large-scale resources to deal with complex challenges." (AWS) [source]
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