Remote procedure call server control system and method

Abstract

The invention provides a remote procedure call server control system and method. A server is remotely called by a client, the server control system comprises a task controller, a resource manager, a resource pool and a distributed collaborative service module, wherein the task controller is used for receiving a service creation request from a user; the resource manager is used for receiving the service creation request from the task controller, and creating and starting a plurality of computing nodes satisfying service parameters according to the service parameters in the service creation request; the resource pool is used for allocating computing resources of the plurality of computing nodes satisfying the service parameters; and the distributed collaborative service module is used for obtaining operation states of the computing nodes and sharing the operation states of the computing nodes with the client. By adoption of the remote procedure call server control system and method provided by the invention, the scalability and the fault tolerance of remote procedure call service can be improved.

Description

technical field [0001] The invention relates to the technical field of the Internet, in particular to a remote procedure call server control system and method. Background technique [0002] Remote Procedure Call Protocol (RPC) is a way to request services from remote computer programs over the network without knowing the underlying network technology. The service based on remote procedure call is the cornerstone of various modern distributed systems, and its stability, reliability and efficiency are directly related to the availability and economy of the entire system. Therefore, major Internet companies generally develop their own remote procedure call systems. [0003] Usually, the server side of the remote procedure call system is deployed and installed on pre-determined static resources. For example, the number of machines (physical or virtual) is determined, the computing capabilities of the machines are determined, and the addresses of the machines are also determine...

AI Technical Summary

Problems solved by technology

For example, if there is a problem with the service provider's machine, the service user cannot automatically eliminate the problematic machine, which will cause related calls to fail to complete successfully

For another example, if the topology of the service provider's machine cluster changes, including but not limited to adding machines, deleting machines, changing machine addresses, etc., the service user cannot automatically perceive

In addition, changes in resource patterns cannot be predicted in a timely manner, for example, it may be too late to implement contingency measures when the service load increases

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