Differences and connections between distributed and clustered

Original service

Cluster:

A cluster is to copy the same sub-business system into multiple copies and deploy them on multiple servers. These multiple servers install them in the physical space of the same location to form a collective group, which is called a cluster..Clustering is used to improve application performance and enable the system to achieve high throughput and high availability in high concurrency scenarios;

Distributed:

Distribution is to split a complex business system into multiple sub-business systems, deploy them on each different server, connect them through the network, and cooperate to complete a business by exchanging information.

Distributed + Cluster:

Distributed and clustered difference:

1. Distributed refers to distributing different services to different places.

2. Clustering refers to the grouping of several servers together, which is actually the same business.

3. Each node in the distribution can be used as a cluster.And the cluster is not necessarily distributed.

Summary:

The system and architecture should never separate the distributed and the cluster, but should be an organic combination and combination of the two.If we want our system to achieve high performance, high availability, and high throughput, then we should first distribute (split) from the perspective of architecture and deployment, and then deploy each node in a cluster, so thatIt can greatly improve the overall performance and robustness of the system.
In short, distributed improves efficiency by shortening the execution time of a single task, while clustering improves efficiency by increasing the number of tasks executed per unit time.
For example: If a task consists of 10 subtasks, and each subtask takes 1 hour to execute individually, it will take 10 hours to execute the task on one server.
Using a distributed solution, 10 servers are provided, each server is only responsible for processing one sub-task, regardless of the dependencies between sub-tasks, it only takes 1 hour to complete the task.
In a stand-alone environment, a server can only process one task, and 10 tasks are 10 hours. However, if we adopt a cluster solution, deploy 10 servers, and each server handles one task, then 1 hour will takeThese 10 tasks can be processed and completed, which is the improvement of efficiency.