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Suppose we want to program a Web server; we could easily do so without using concurrency, as follows:
while(true)wait connectionread from socket and parse urllook up url contents in cacheif (!in cache)fetch from diskput in cachesend data to client
How do we make this codework for lots and lots of clients? Since there are a lot of slowoperations being performed (e.g. connecting to the networking, accessing the disk, etc), processing only one client at a time clearly is not scalable. Our goal then is to build a concurrent application that both minimizes latency and maximizes parallelism.
Explain with an example the need of Shift Alteration in critical section problem? Consider processes P i and P j and consider the algorithm for P i and P j .
Define the Executor (Worker Thread) The responsibility of the Executor (or Worker Threads) is to execute instructions on behalf of a client-server connection. The Executor mus
what is deckers algorithm
Define deadlock. A process requests resources; if the resources are not available at that time, the process enters a wait state. Waiting processes might be never again change s
Mention some attractive properties of semaphore? The Semaphores aren't provided by hardware. However they have numerous attractive properties: Machine indep
Develop a user mode command interpreter which support these functions: "list-short" -- just like ls without any options "list-long" -- same as ls -l "change" -- same as cd Your co
What are three conditions that a solution for the critical section problem must satisfy? The three conditions are as following:- a) Mutual exclusion :- if a process is
Consider the following snapshot of a system, answer the following questions using the banker's algorithm: 1. What is the content of the matrix Need? Is the system in a safe stat
Define the “turn-around” time of a user job Turn- around time is total time taken to execute the job.
Debugging a multi threaded program The following list points out few of the more frequent oversights and errors that can cause bugs in multithreaded programs. 1. Ephemeral
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