Answer:
/*C++ program that prompts user to enter the name of input file(input.txt in this example) and print the sum of the values in the file to console. If file dosnot exist, then close the program */
//header files
#include <fstream>
#include<string>
#include <iostream>
#include <cstdlib> //needed for exit function
using namespace std;
//function prototype
int fileSum(string filename);
int main()
{
string filename;
cout << "Enter the name of the input file: ";
cin >> filename;
cout << "Sum: " << fileSum(filename) << endl;
system("pause");
return 0;
}
/*The function fileSum that takes the string filename and
count the sum of the values and returns the sum of the values*/
int fileSum(string filename)
{
//Create a ifstream object
ifstream fin;
//Open a file
fin.open(filename);
//Initialize sum to zero
int sum=0;
//Check if file exist
if(!fin)
{
cout<<"File does not exist ."<<endl;
system("pause");
exit(1);
}
else
{
int value;
//read file until end of file exist
while(fin>>value)
{
sum+=value;
}
}
return sum;
}//end of the fileSum
Explanation:
This is a C++ program that prompts user to enter the name of input file(input.txt in this example) and print the sum of the values in the file to console. If file dosnot exist, then close the program.
Check attachment for sample output screenshot.
there's a chance the web server could quite possibly be backed up from all the requests and not being cleaned or updated often
A binary code represents text, computer processor instructions, or any other data using a two-symbol system. The two-symbol system used is often the binary number system's 0 and 1. The binary code assigns a pattern of binary digits, also known as bits, to each character, instruction, etc.
<em>How does multithreading affect the throughput of a GetFile Server hosting many very large files?</em>
Answer:
It create multiple threads of large file which eventually causes in slowing down the speed of server which results in slower response time.
<em>How does multithreading affect the average response time for a GetFile server hosting a few small files?</em>
Answer:
Multiple threads in smaller files result in rapid response time and enormous process speed in small files.