Answer:
#include <iostream>
#include<iomanip>
using namespace std;
double DrivingCost(double drivenMiles, double milesPerGallon, double dollarsPerGallon)
{
double dollarCost = 0;
dollarCost = (dollarsPerGallon * drivenMiles) / milesPerGallon;
return dollarCost;
}
int main()
{
double miles = 0;
double dollars = 0;
cout << "Enter miles per Gallon : ";
cin >> miles;
cout << "Enter dollars per Gallon: ";
cin >> dollars;
cout << fixed << setprecision(2);
cout << endl;
cout << "Gas cost for 10 miles : " << DrivingCost(10, miles, dollars) << endl;
cout << "Gas cost for 50 miles : " <<DrivingCost(50, miles, dollars) << endl;
cout << "Gas cost for 400 miles: "<<DrivingCost(400, miles, dollars) << endl;
return 0;
}
Explanation:
- Create a method definition of DrivingCost that accepts three input double data type parameters drivenMiles, milesPerGallon, and dollarsPerGallon and returns the dollar cost to drive those miles
.
- Calculate total dollar cost and store in the variable, dollarCost
.
- Prompt and read the miles and dollars per gallon as input from the user
.
- Call the DrivingCost function three times for the output to the gas cost for 10 miles, 50 miles, and 400 miles.
- Some things can be similar and still have some differences. The Hadoop ecosystem is known to be the add-ons that make the Hadoop framework more better for some particular big data needs and tastes.
The Hadoop ecosystem is made up of the open source projects and commercial tools that are often optimized to act on different kinds of work especially to big data. It is very flexible
The differences is that cluster is simply a combination of a lot of computers that is set up to work together as one system but a Hadoop cluster is a cluster of computers that is used only at Hadoop. Hadoop clusters are set up to analyze and storing large amounts of unstructured data only in a distributed file systems.
Learn more about systems from
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