what is the difference between distributed and parralel processing
There is not a lot of difference between DDBMS and parallel DDBMS. Both systems store data over several sites, and parallel DDBMS uses parallelization over certain operations.
The important difference between MIS and routine data process are the capability to provide analysis, planning and decision-making assist. An MIS orientation means users have access to decision models and methods for querying the data set. A MIS is more comprehensive than data processing with only process transaction and produce reports.
web service is simpler than distributed object ,as it uses remote objects but never returns a remote reference to a remote object ,and simple is good
data is basic facts and figures which are unorganised, whereas information is organised data which are basic ideas and/or concepts.
clustered system: systems having many computers with shared storage and linked by a lan or network.distributed system:systems having many computers connected by a network and there is no shared storage.
supercomputers allows both parallel and distributed computing
concurrent processing deals with N-client single server whereas parallel supports N-client N-server
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.
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.
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.
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.
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
no answer
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
* 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.
Parallel processing allows the computer to process 2 things at once. However on it's own it doesn't help, computer programs have to be written to use it. Many operating systems are written to take advantage of parallel processing between seperate processes, and some programs are setup to use parallel processing withing their own process.