
Computer Systems: A Programmer's Perspective Plus Mastering Engineering With Pearson Etext -- Access Card Package (3rd Edition)
3rd Edition
ISBN: 9780134123837
Author: Randal E. Bryant, David R. O'Hallaron
Publisher: PEARSON
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Question
Chapter 10.9, Problem 10.4PP
Program Plan Intro
“dup2” function:
- This function is used to copies the entry of old descriptor table to new descriptor table entry.
- Format for “dup2” function is given below,
int dup2(int oldFD, int newFD);
- From the above format, “oldFD” means old descriptor table entry and “newFD” means new descriptor table entry.
- It is used to copy the content of “oldFD” to “newFD”.
- If “newFD” was already open, then “dup2” function closes the “newFD” before it copies “oldFD”.
Example:
The example for “dup2” function is shown below:
Consider the function “dup2(4, 1)”.
- There are five file descriptors for given function that is “fd0”, “fd1”, “fd2”, “fd3”, and “fd4”. Each process in the LINUX begins life with three files they are
- File descriptor “fd0” – standard input
- File descriptor “fd1” – standard output
- File descriptor “fd2” – standard error
- For this function, assume two files such as “file A” and “file B”. Each file contains file table and v-node table.
- The entries in file table are file position and reference count.
- The entries in v-node table are file access, file size and file type.
- Before calling “dup2(4, 1)”:
- The “fd1” points to “file A” and “fd4” points to “file B”.
- The reference count for both files are equal to “1”.
- After calling “dup2(4, 1)”:
- Both “fd1” and “fd2” corresponds to “file B”.
- The “file A” has been closed and the entries in file table and v-node table of “file A” deleted.
- The reference count for “file B” is incremented that is now reference count is “2”.
- From the above description, any data written to standard output are redirected to “file B”.
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Question 1 Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule. Question 2 Construct a frequency polygon density estimate for the sample in Question 1, using bin width determined by Sturges’ Rule.
Generate a random sample of standard lognormal data (rlnorm()) for sample size n = 100. Construct histogram estimates of density for this sample using Sturges’ Rule, Scott’s Normal Reference Rule, and the FD Rule.
Can I get help with this case please, thank you
Chapter 10 Solutions
Computer Systems: A Programmer's Perspective Plus Mastering Engineering With Pearson Etext -- Access Card Package (3rd Edition)
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