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
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.
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.
In centralised tasks are done by one system and in distributed tasks are shared by the many computers
parallel operating system is tha sharing of data between two computers....... Distributing system is the sharing of data among different computers....
Parallel computing involves breaking down a task into smaller parts that are processed simultaneously by multiple processors within the same system. Distributed computing, on the other hand, involves processing tasks across multiple interconnected systems, often geographically dispersed. The key difference lies in how the tasks are divided and executed, with parallel computing focusing on simultaneous processing within a single system and distributed computing focusing on processing across multiple systems.
there is no proper knowledge regarding this question.
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
SCADA will perform supervisory action over Distributed control system to make sure that every thing is working fine.
http://wiki.answers.com/Q/What_is_the_difference_between_Centralized_System_and_Distributed_System_as_far_as_operating_system_data_replicability_system_memory_and_homogeinity_are_concerned"
On a computer network, operating systems communicate with each other. In a distributed operating system, a single OS is communicating with itself across multiple machines.
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.
What is the difference between parallel computing and distributing computing? In the most simple form = Parallel Computing is a method where several individual (autonomous) systems (CPU's) work in tandem to resolve a common computing workload. Distributed Computing is where several dis-associated systems are working seperatly to resolve a multi-faceted computing workload. An example of Parallel computing would be two servers that share the workload of routing mail, managing connections to an accounting system or database, solving a mathematical problem, ect... Distributed Computing would be more like the SETI Program, where each client works a seperate "chunk" of information, and returns the completed package to a centralized resource that's responsible for managing the overall workload. If you think of ten men pulling on a rope to lift a load, that is parallel computing. If ten men have ten ropes and are lifting ten different loads from one place to consolidate at another place, that would be distributed computing.