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operating systems, such as Unix, there are also permission and security attributes and, of course, the actual code for the application itself Tracking all of this information is a full-time job under Unix there are a number of processes that keep an eye on all of this information, in addition to the core kernel process that actually handles many of the requests If an individual process wants to be able to perform a number of tasks concurrently, then there are two possible solutions The first solution is a round-robin approach, as used by the main operating system, but without the same level of control Each function that needs to be executed is called in sequence in a loop, but because we can t arbitrarily terminate a function mid-execution, there are often problems with lag-time if a function has a large amount of information to process, then its execution will hold up the entire loop For file processing, you can get around this by using select and parsing fixed blocks of information for each file In this instance, we only process the information from the files that have supplied (or require) more data, and providing we only read a single line, or a fixed-length block of data, the time to process each request should be relatively small For solutions that require more complex multitasking facilities, the only other alternative is to fork a new process specifically to handle the processing event Because fork creates a new process, its execution and priority handling can be controlled by the parent operating system This is usually the solution used by network services, such as Apache and IMAP or POP3 daemons When a client connects to the server, it forks a new process designed to handle the requests of the client The problem with forking a new process is that it is a time-consuming and very resource-hungry process Creating a new process implies allocating a new block of memory and creating a new entry in the process table used by the operating system s scheduler to control each process s execution To give you an idea of the resource implications, a typical Apache process takes up about 500K if 20 clients connect all at the same time, it requires the allocation of 10MB of memory and the duplication of the main image into each of the 20 new processes In most situations, we don t actually need most of the baggage associated with a new process With Apache, a forked process doesn t need to read the configuration file it s already been done for us, and we don t need to handle any of the complex socket handlers We only need the ability to communicate with the client socket we are servicing This resource requirement puts unnecessary limits on the number of concurrent clients that can be connected at any one time it is dependent on the available memory and ultimately the number of processes that the operating system can handle The actual code required to service the client requests could be quite small, say 20K Using multiprocessing on a system with 128MB might limit the number of clients to around 200 not a particularly large number for a busy website To handle more requests than that, you d need more memory, and probably more processors switching between 200 processes on a single CPU is not recommended because the amount of time given to each. pdf library c# free How can I download file from server to local machine using a ...
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asp.net mvc 5 create pdf In one fileld the pdf file name is coming from. ... This is because to force the browser to download the file instead of open it you need the ... asp.net open pdf file in web browser using c# process during a single pass (executing each process once), would be very small, and therefore it would take minutes for a single process to service even a small request This is where threads come in A thread is like a slimmed-down process in fact they are often called lightweight processes The thread runs within the confines of the parent process and normally executes just one function from the parent Creating a new thread doesn t mean allocating large areas of memory (there s probably room within the parent s memory allocation) or require additions to the operating system s schedule tables either In our web server example, rather than forking a new process to handle the client, we could instead create a new thread using the function that handles client requests By using multithreading, we can therefore get the multiprocessing capability offered by the parent operating system, but within the confines of a single process Now an individual process can execute a number of functions simultaneously, or alternatively execute the same function a number of times, just as you would with our web server On an operating system that supports preemptive multitasking and multithreading, we get the prioritizing system on the main process and an internal per-process multitasking environment On a multiprocessor system, the operating system will also spread the individual threads from a single process across all of the processors So, if we have one particularly intensive process, it can use all of the available resources by splitting its operation into a number of individual threads Threading is, of course, very OS-specific Even now, there are only a handful of operating systems that provide the functionality to a reasonable level, and some require additional or different libraries to enable the functionality Most of the operating systems that support threading are either Unix based (Solaris, AIX, HP-UX, some Linux distributions, BSD, Mac OS X) or Windows based (Windows 98/NT/2000/Me). c# pdf parser free How to compare two pfd files difference through c#.net. | The ASP ...
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Check out this project Extract Text from PDF in C#. The project uses ITextSharp. ... Parse the extracted text and create and xml file. Some of my ... The major difference between multithreaded and multiprocess applications is directly related to the relative resource cost, which we ve already covered Using fork to create duplicate instances of the same process requires a lot of memory and processor time The overhead for a new thread is only slightly larger than the size of the function you are executing, and unless you are passing around huge blocks of data, it s not inconceivable to be able to create hundreds of threads The only other difference is the level of control and communication that you can exercise over the threads When you fork a process, you are limited in how you can communicate and control the process To exchange information, you ll need to open pipes to communicate with your children and this becomes unwieldy with a large number of children If you simply want to control the children, you are limited to using signals to either kill or suspend the processes there s no way to reintegrate the threads back into the main process, or to arbitrarily control their execution without using signals 261 261 263 268 268 269 272 273 Comparing Threads to select() using pdfsharp in c# Using Adobe API with C# for PDF generation | Adobe Community ...
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