The invention provides an elastic cloud distributed massive request processing method, device and system, and can instantaneously and automatically carry out expansion when a server cannot respond to a peak value. The method comprises the steps that: S1: a cloud computing management platform creates a container, and a message queue cluster, a ZooKeeper cluster, a service instance and a data storage cluster are respectively constructed on the container; S2: a client sends requests containing time to a load balancing server, the load balancing server distributes the requests to the message queue cluster, and after being synchronized by the ZooKeeper cluster, the requests are rearranged according to a time sequence; S3: the service instance acquires the requests from the message queue cluster, processes the requests, then stores a processing result to the data storage cluster, and returns the processing result to the client; and in the process of S1 to S3, the cloud computing management platform monitors a state of the container where the service instance is positioned, and when a state index exceeds a preset threshold, a new container is created by duplicating the container so as to improve a processing speed.