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Another solution then would be to keep a pool of threads. Whenever a new task arrives, the system would simply get a thread from pool and set that thread to work on the given task. Whenever the pool is empty, the system blocks until another thread completes its task. One natural question now is: how many threads do we "pre-create" and add to the pool? Ideally, we would want to create an in?nite (or large enough) amount of threads; however, this is clearly not possible, since each thread has a descriptor, a stack, etc, but our main memory is ?nite. Also, beyond a certain point, creatingmore threads does not help anymore, and the server starts to slow down again due to things like paging or lock contention. For example, if we only have 4 CPUs, it doesn't help to try to run a billion things at the same time. In practice, the ?ne-tuning of how many thread to add to the pool for any given application is set empirically, or perhaps adaptively.
Optimal page replacement An optimal page replacement algorithm has the least page fault rate of all algorithms. The algorithm states that a 'replace the page that will not be
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A page fault causes the following sequence to occur. 1. Trap (shut in) to the operating system. 2. Save the process registers and process state. 3. Verify that the interr
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Explain the different sections of a process. Entry section Critical section Exit section Remainder section Consider a system inclusive of n processe
Suppose a logical address space is 1KB, and the page-size is 16 bytes. Assume no page is in the main memory for this process initially and the pure demand paging is used. Current f
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