Problem Statement:
The following are the available machines along with their respective capacities.
- Large – 10 units
- XLarge – 20 units
- 2XLarge – 40 units
- 4XLarge – 80 units
- 8XLarge – 160 units
- 10XLarge – 320 units
These machines are located all over the world and depending on which part of the world they are located in, they have associated costs based on the number of hours they are utilised. Below are the per hour costs
| New York | India | China | |
| Large | $ 120 | $ 140 | $ 110 |
| XLarge | $ 230 | $ 200 | |
| 2XLarge | $ 450 | $ 413 | |
| 4XLarge | $ 774 | $ 890 | $670 |
| 8XLarge | $1400 | $ 1300 | $ 1180 |
| 10XLarge | $ 2820 | $ 2970 |
Write an optimized resource allocator program that can be used for cost planning. The program takes the below 2 inputs:
Hours: No of hours the machine is required to run
Capacity: No of units are required (Will always be multiple of 10)
Based on these inputs, the program should optimally allocate the resources such that the cost of the capacity required is minimum. Calculate this for every region and show them as the below example.
Sample Input:
Capacity of 1150 units for 1 Hour
Expected Output:
{
“Output”: [
{
“region”: “New York”,
“total_cost”: “$10150”,
“machines”: [
(8XLarge, 7),
(XLarge, 1),
(Large, 1)
]
},
{
“region”: “India”,
“total_cost”: “$9520”,
“machines”: [
(8XLarge, 7),
(Large, 3)
]
},
{
“region”: “China”,
“total_cost”: “$8580”,
“machines”: [
(8XLarge, 7),
(XLarge, 1),
(Large, 1)
]
},
]
}
Other Sample Inputs include:
- 230 units for 5 Hours
- 100 units for 24 Hours
- 1100 units for 12 Hours
Assignment guidelines
- Please finish this assignment within 48 hrs of receiving.
- Please create a public repository in GitHub and commit all your code in GitHub. Once you are done with the assignment, please share the link to your repository to contact@techtinium.com so that we can evaluate
- You can choose any programming language for this assignment.
- Make sure you write appropriate unit tests and test cases to validate your code.