Memory stream computing platform system

Abstract

The invention discloses a memory stream computing platform system, which solves the problem of system delay increase caused by too complicated event processing rules in the field of financial derivatives, and also solves the problem of frequent system change caused by flexible and changeable rules. According to the technical scheme, the platform is designed based on an event-driven architecture; and after one event is generated, the generation of the next event is triggered. The EDA not only can decide the purpose according to the information sending end, but also can dynamically decide the subsequent process according to the information content, and can flexibly adapt to complex service logics. The whole streaming computing platform takes an event flow as a computing driving source; whena new event arrives, triggering a series of processing calculations for the event; wherein the input of each logic computing unit is specific event information, throwing out a new event after computing and converting the specific event information, deciding to drive the next specific logic computing unit to process according to the characteristics of the thrown new event, and sequentially transmitting the computing until a final processing result is obtained and thrown out to an upper application.

Description

technical field [0001] The invention relates to a computing platform system for output processing, in particular to an event-driven memory flow computing platform applicable to the field of financial derivatives (such as financial futures). Background technique [0002] In recent years, with the rapid development of big data, various data processing systems in the industry have emerged in an endless stream. The birth of the Google Map / Reduce framework in 2003 solved the problems of platform scaling and computing fault tolerance from the framework layer, and realized the concept of concentrating a large number of cheap machines for big data processing and computing. The data processing scheme at this time relies on the pre-storage of a large amount of data, and requires the processing personnel to have certain coding ability, and the data processing logic can be realized by coding in advance based on the Map / Reduce framework rules. The emergence of Map / Reduce has preliminari...

AI Technical Summary

Problems solved by technology

[0007]The purpose of the present invention is to solve the above problems. It provides a memory flow computing platform system to solve the problem of increased system delay caused by too complicated event processing rules. At the same time It also solves the problem of frequent system changes caused by flexible and changeable rules

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