Skip graph

A skip graph is a way to organize data so that it can be searched and accessed more quickly. Imagine you have a big pile of toys that you want to find a specific one in. A skip graph is like having different shelves where the toys are organized by type or color. This makes it much easier to find the toy you want instead of having to search through the entire pile.

In a skip graph, the data is organized into levels, like floors in a building. Each level has a certain number of nodes, or points where the data is stored. These nodes are connected to each other by edges, like roads on a map.

To find a specific piece of data, you start at the top level of the skip graph and check the nodes there. If the data is not in any of the nodes, you move down to the next level and check the nodes there. You keep moving down levels until you find the node that has the data you are looking for.

Skip graphs are useful for quick searches because you don't have to check every single node in the system. By following a path through the levels, you can quickly narrow down where the data is stored. Plus, skip graphs can still work efficiently even when some nodes are not working or available.

Overall, skip graphs are a smart way to organize and access large amounts of data efficiently.