Differentiate between Simple Batch Operating Systems and Time-sharing Operating Systems
1. BATCH PROCESSING operating system 2. MULTIPROGRAMMING operating system 3. TIME SHARING operating system 4. REAL TIME operating system 5. DISTRIBUTED operating system
There are seven main capabilities of an operating system:Single user processingMulti-user processingSingle taskingMultitasking or MultiprogrammingMultiprocessing or Parallel processingInterprocessing communicationTime sharing
time sharing operating system is user interactive, but multiprogramming operating system need not be user interactive
Serial processing in operating system is one of the types of data processing in the computer. The data is read by the CPU, analyzed, processed and then executed in this system.
Differentiate between Simple Batch Operating Systems and Time-sharing Operating Systems
parallel operating system is tha sharing of data between two computers....... Distributing system is the sharing of data among different computers....
1. BATCH PROCESSING operating system 2. MULTIPROGRAMMING operating system 3. TIME SHARING operating system 4. REAL TIME operating system 5. DISTRIBUTED operating system
In batch processing the tasks are performed in batches. In time sharing, the operating system shares the time between each task.
There are seven main capabilities of an operating system:Single user processingMulti-user processingSingle taskingMultitasking or MultiprogrammingMultiprocessing or Parallel processingInterprocessing communicationTime sharing
time sharing operating system is user interactive, but multiprogramming operating system need not be user interactive
Serial processing in operating system is one of the types of data processing in the computer. The data is read by the CPU, analyzed, processed and then executed in this 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
the block diagram of time sharing system in o.s
processing
processing
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