February 2019
Intermediate to advanced
450 pages
9h 59m
English
Content preview from Hands-On Blockchain for Python Developers
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The notion of closeness of data and nodes
In a distributed hash table, we don't put the data in every node. We put the data in certain nodes according to the notion of closeness. We want to put the data in nearby nodes. This means that we have the concept of distance not just between nodes, but also between the data and the nodes.
Imagine that every node launched or created in this distributed hash table is given an ID between 1 and 1000. Every node ID is unique, so there can be a maximum of 1,000 nodes. There are likely to be more than 1,000 nodes in a real-world setting, but this will work as an example. Let's say that we have 10 nodes:
| Node ID |
| 5 |
| 13 |
| 45 |
| 48 |
| 53 |
| 60 |
| 102 |
| 120 |
| 160 |
| 220 |
We also have some data. To make ...
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