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CPSC–313 Machine Problem 4: High Concurrency without too many Threads solved

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Description

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Introduction
In this machine problem we try to further improve the performance of the client by reducing the
thread management overhead required to handle the worker threads. We do this by replacing
the collection of worker threads by a single event handler: Instead of forking off a large number
of worker threads and have each handle a separate request channel, in this machine problem we
have a single event handler thread manage all the data communication with the data server. (The
communication over the control channel is still handled by the main thread of the client.)
You are to improve on the client program from MP3 as follows:
1. Instead of spawning multiple worker threads, and have each thread separately communicate to
the data server, spawn a single event handler thread, which handles all data request channels.
2. (BONUS) Have the client periodically show a simple display of the histograms. This is to be
implemented by first installing a timer signal handler that displays the histograms and then
by periodically generating a timer signal.
You will be given the same source code of the data server as in MP3 (in file dataserver.C) to
compile and then to execute as part of your program (i.e. in a separate process).
The Assignment
You are to write a program (call it client.C) that first forks off a process, then loads the provided
data server, and finally sends a series of requests to the data server. The client should consist of a
number of request threads, one of reach person, one event handler thread, and a number of statistics
threads, one for each person. The number of persons is fixed to three in this MP (Joe Smith, Jane
Smith, and John Doe). The number of data requests per person are to be passed as arguments to
the invocation of the client program. As explained earlier, the request threads generate the requests
and deposit them into a bounded buffer. The size of this buffer is passed as an argument to the
client program.
The client program is to be called in the following form:
client -n
-b
-w
A few Points
A few points to think about:
• The magic to have a single event handler thread manage multiple request channels is to use
the select() system call. As we discussed in class, the select() call monitors multiple file
descriptors and returns to indicate the file descriptor(s) that show activity. In this way you
can have a single thread handle multiple file descriptors, i.e. multiple request channels. This
is different from MP3, where we had a separate thread for each request channel.
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CPSC–313 Machine Problem 4
• Have either the main thread or the event handler thread create the request channels before
the event handler thread starts issuing select calls.
• Since the select call uses file descriptors, we have to make the file descriptors used to read
and write data to the request channel accessible to the user. The class RequestChannel
now provides two functions (read fs() and write fs() that return the read and write file
descriptor of the request channel, respectively. These file descriptors can be used to monitor
activity on the request channels. If activity has been detected on, say the read file descriptor,
your code may then read the data either by accessing RequestChannel::cread() or by
reading directly from the file descriptor returned by RequestChannel::read fs(). Similarly,
the next request can be sent to the request channel using RequestChannel::cwrite() or by
writing to file descriptor specified by RequestChannel::write fs().
• You will quickly notice that you will not be able to use the RequestChannel::send request()
function, which is basically nothing more than a cwrite() followed by a cread() anyway.
The reason for this is because you will have to wait in select() for the file descriptor to
become “active” before calling cread().
• Use your Semaphore and BoundedBuffer classes from MP3.
• Be careful when you exceed 125 request channels. You may exceed OS limitations on number
of open files.
If you decide to go for the BONUS, you will have to be careful about a few points:
• Install a signal handler for the SIGALARM signal. This signal is generated periodically after
initializing a timer with a call to setitimer(). The job of the signal handler is to draw the
current histograms.
• You will have to make all blocking calls resilient againt signals by handling EINTR errors
correctly. This includes (i) the creations of the request channels (you may want to avoid this
by having the timer start firing only after the channels have been established,) (ii) read and
write operations to the channels, and (iii) possibly other blocking operations. Note: This
may require you to modify the code in RequestChannel.C.
• Be aware that you are handling process-wide signals in a threaded environment. You may
not know a priori which thread is going to handle the timer signal. In many cases, this is not
too much of a problem, but you may still want to be aware of this.
What to Hand In
• You are to hand in a directory, called Solution, with all files that are part of your solution.
This directory should contain, among other files, your file client.C and the source code for
the dataserver (in file dataserver.C).
• The directory Solution must also contain a working makefile, which generates an executable
client and an executable dataserver. The functionality of the client is identical to the
client in MP3. Compared to MP3, the new client creates a single event handler thread and
handles the request channels using the select() system call.
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CPSC–313 Machine Problem 4
• If you go for the BONUS option, you may need to update the request channel implementation
to be resilient against signals. If you decide to go for the BONUS, please specify this clearly
in your report, and list what part of the program you changed to make it resilient against
signals.
• Analyze the performance of your implementation in a report, called report.pdf. Measure
the performance of the system with varying numbers request channels and sizes of the buffer.
How does the performance compare to your implementation in MP3? Does increasing the
number of request channels still improve the performance? By how much? Is there a point
at which increasing the request channels does not further improve performance? Submit a
report that compares the performance to that of your solution in MP3 as a function of varying
numbers of request channels (i.e., worker thread in the case of MP3).
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