Multiple-tier distributed cluster system

Abstract

The invention discloses a multiple-tier distributed cluster system and solves the possible content transfer of common load balance technology that is based on a polling strategy or content hash. The system solves the problems of cluster expansibility, content transfer and the like by adopting tiered load balance technology and combining the polling strategy and consistent hashing algorithm. The technical scheme of the system is as follows: the system comprises a transport tier load balancer at the front end of the system, a URL (Uniform Resource Locator) consistent hashing balancer at the middle tier of the system, and a real server at the rear end of the system, wherein the transport tier load balancer receives request data transmitted by a client side and conducts load balance; requests of the client side are distributed to the URL consistent hashing balancer at the middle tier; the URL consistent hashing balancer receives the request data of the client side distributed by the transport tier load balancer and distributes the same URL to the same real balancer for service through the consistent hashing algorithm; and the real server stores the data.

Description

technical field [0001] The invention relates to a distributed system, in particular to a distributed cluster system with multiple levels. Background technique [0002] There are local load balancing cluster technology and consistent hash (hash) algorithm technology in the distributed system. [0003] Partial load balancing cluster technology is a collection of several ordinary servers, which present the same exit to the outside, and can perform load balancing among the internal machines of the collection according to a certain algorithm. [0004] The consistent hashing algorithm has the characteristics of monotonicity. Monotonicity means that if some content has been assigned to the corresponding buffer through hashing, a new buffer is added to the system. The result of the hash should be able to ensure that the original allocated content can be mapped to the new buffer, and will not be mapped to other buffers in the old buffer set. [0005] At present, in the local load b...

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Problems solved by technology

[0005] At present, in the local load balancing cluster technology, a simple round-robin strategy is often used or balanced according to the number of connections or loads of machines. The biggest problem with this kind of balancing is that each server is equivalent, that is, each server needs Store the same content; currently there is also a strategy for allocation based on content, but when the devices in the cluster increase or decrease, the content will be migrated

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