Why data location affects cost in Blockchain / Solidity - See It in Action

Why Data Location Affects Cost in Blockchain

📖 Scenario: Imagine you are managing a blockchain network where storing data in different locations costs different amounts. You want to calculate the total cost of storing data based on where it is stored.

🎯 Goal: Build a simple program that calculates the total cost of storing data in various locations on a blockchain, showing how location affects cost.

📋 What You'll Learn

Create a dictionary with data locations and their storage sizes

Create a dictionary with cost per unit storage for each location

Calculate total cost for each location using dictionary comprehension

Print the total cost per location

💡 Why This Matters

🌍 Real World

Blockchain networks often charge different fees depending on where data is stored. Understanding how location affects cost helps manage expenses.

💼 Career

Blockchain developers and network managers need to calculate storage costs accurately to optimize resource use and pricing.

1

Create data storage dictionary

Create a dictionary called data_storage with these exact entries: 'NodeA': 100, 'NodeB': 200, 'NodeC': 150 representing storage size in MB.

Blockchain / Solidity

# Create a dictionary called data_storage with exact entries
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as node names and values as storage sizes.

2

Create cost per MB dictionary

Create a dictionary called cost_per_mb with these exact entries: 'NodeA': 0.05, 'NodeB': 0.03, 'NodeC': 0.04 representing cost per MB in dollars.

Blockchain / Solidity

data_storage = {'NodeA': 100, 'NodeB': 200, 'NodeC': 150}
# Create a dictionary called cost_per_mb with exact entries
# Your code here

Need a hint?

Use curly braces {} to create a dictionary with keys as node names and values as cost per MB.

3

Calculate total cost per location

Use a dictionary comprehension to create a dictionary called total_cost where each key is a node from data_storage and the value is the product of storage size and cost per MB from cost_per_mb.

Blockchain / Solidity

data_storage = {'NodeA': 100, 'NodeB': 200, 'NodeC': 150}
cost_per_mb = {'NodeA': 0.05, 'NodeB': 0.03, 'NodeC': 0.04}
# Calculate total_cost using dictionary comprehension
# Your code here

Need a hint?

Use dictionary comprehension syntax: {key: value for key in iterable}.

4

Print total cost per location

Write a print statement to display the total_cost dictionary.

Blockchain / Solidity

data_storage = {'NodeA': 100, 'NodeB': 200, 'NodeC': 150}
cost_per_mb = {'NodeA': 0.05, 'NodeB': 0.03, 'NodeC': 0.04}
total_cost = {node: data_storage[node] * cost_per_mb[node] for node in data_storage}
# Print the total_cost dictionary
# Your code here

Need a hint?

Use print(total_cost) to show the dictionary with costs.