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what is the difference between distributed and parralel processing

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Distributed processing involves multiple interconnected systems working together to complete a task, with each system performing a different part of the task. Parallel processing, on the other hand, involves breaking down a task into smaller sub-tasks and executing them simultaneously using multiple processors within the same system. In distributed processing, systems may be geographically dispersed, while parallel processing occurs within a single system.

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Q: What is the difference between distributed and parallel processing?
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What is the difference between a distributed database and distributed processing?

A distributed database is a collection of databases stored on multiple computers and accessed through a network, allowing for data to be distributed across different locations. Distributed processing, on the other hand, refers to breaking down a task into smaller parts that are processed on multiple computers simultaneously, enabling faster computation by leveraging the collective resources of multiple machines.


What is the difference between ddbms and parallel dbms?

A distributed database management system (DDBMS) manages databases that are stored on multiple computers, often in different locations. A parallel database management system (parallel DBMS) uses multiple processors to perform operations on a single database, improving performance by dividing tasks among these processors. In essence, DDBMS focuses on data distribution and replication across different sites, while parallel DBMS focuses on high-speed data processing using multiple processors.


Difference between mis and data processing?

MIS (Management Information Systems) refers to the use of information systems to aid in managerial decision-making. It involves the collection, processing, and analysis of data to generate meaningful information for management. Data processing, on the other hand, is a broader term that refers to the manipulation and transformation of data to produce useful information. It includes activities such as data entry, validation, sorting, summarizing, and generating reports. MIS is a specific application of data processing within a managerial context.


What is the difference between information technology and electronic data processing?

Information technology (IT) refers to the broader field that encompasses the use of computers and software to manage and process information. Electronic data processing (EDP) specifically focuses on the automated processing of data using computers. Essentially, EDP is a subset of IT that deals specifically with the processing of electronic data.


What is the difference between web services and a distributed object system?

Web services are a type of communication protocol that allows different applications to communicate over a network using standard web technologies like HTTP, XML, and SOAP. A distributed object system, on the other hand, is a system that enables objects to communicate and interact with each other across a network, often using specific middleware such as CORBA or DCOM. While both aim to facilitate communication between distributed systems, web services are more platform-independent and use standard web protocols, while distributed object systems are often tied to specific middleware technologies.

Related questions

What is the difference between supercomputer and distributed computing?

supercomputers allows both parallel and distributed computing


Difference between concurrent processing and parallel processing in computer architecture?

concurrent processing deals with N-client single server whereas parallel supports N-client N-server


Difference between distributed system and multiprocessor system?

The difference between distributed system and multiprocessor system is whether the processing units in the system share the main memory. If yes, then the system is multiprocessor system; otherwise, it's a distributed system.


What is the difference between parallel computing and parallel processing?

Parallel processsing ranges from instruction-level parallelism e.g. superscalar and VLIW to message-passing MIMD also called multicomputer, and also includes SIMD e.g. vector and array processing. Multiprocessing is specifically task parallelism, and is by definition shared-memory MIMD with multiple processor cores, sometimes multiple sockets.


Difference between pipeline processing and parallel processing?

Parallel processing is another method used to improve performance in a computer system, when a system processes two different instructions simultaneously, it is performing parallel processing. Parallel processing: each thing is processed entirely by a single functional unit. Pipelining: each thing is broken into a sequence of pieces, where each piece is handled by a different(specialized) functional unit Parallel processing: each thing is processed entirely by a single functional unit. Pipelining is an implementation technique where multiple instructions are overlapped in execution. • Each stage completes a part of an instruction in parallel. The stages are connected one to the next to form a pipe- instructions enter at one end, progress through the stages, and exit at the end . • Making the instruction of program faster.


Different between teleprocessing and distributed data processing?

Telecommunications is a word for all communications over a distance by cable, telephone, telegraph or broadcasting. Teleprocessing is computer service in which terminals are connected to a central computer.


What is the difference between distributed and parallel processing operating system?

1) Distributed Operating systems are also referred to as Loosely Coupled systems whereas parallel processin g systems are referred to as tightly coupled systems. 2) A Loosley coupled system is one in which the processors do not share memory and each processor has its own local memory whereas in a tightly coupled system there is a single systemwide primary memory shared by all the processors. 3) The processors of distributed operating systems can be placed far away from each other to cover a wider geographic area which is not the case with parallel processing systems. 4) The no. of processors that can be usefully deployed is very small in a parallel processing operating system whereas for a ditributed operating system a larger no. of processors can be usefully deployed....... 5)globle clock is used for controlling simd n mimd in parallel..... .in distributed no any global colck present in this synchronization algorithms are used 6)in the distributed operating system there is an unpredictable communication delays between processors whereas the processors in the parallel processing system share over an interconnection network


Explain the difference between batch processing and real-time processing?

explain the difference between batch processing and real-time processing


What is the difference between a distributed database and distributed processing?

A distributed database is a collection of databases stored on multiple computers and accessed through a network, allowing for data to be distributed across different locations. Distributed processing, on the other hand, refers to breaking down a task into smaller parts that are processed on multiple computers simultaneously, enabling faster computation by leveraging the collective resources of multiple machines.


What is the difference between distributed systems and advance distributed systems?

no answer


Difference between parallel and distributed system?

the difference can be stated like : in parallel systems we have -more than one cpu -one memory -execution is simultaneous in distributed systems,we have -any number on memories -any number of cpu -each process has its own memory


What is the Difference between pipeline processing and serial processing?

* The main difference is that pipeline processing is a category of techniques that provide simultaneous, or parallel, processing within the computer and serial processing is sequential processing by two or more processing units.