Hashing method for distributed data processing to process high-speed network massive traffic processing and hashing system for distributed data processing

TL;DR: In this article, the authors proposed a hashing method for distributed data processing, which minimizes a delay processing load of hash used when massive traffic analysis is processed under a high speed network environment and ensures high performance.

Abstract: The present invention relates to a hashing method for distributed data processing, which minimizes a delay processing load of hash used when massive traffic analysis is processed under a high speed network environment and ensures high performance, and, more specifically, to a hashing method for distributed data processing to process high speed network massive traffic, which prevents a delay in a mutual exclusion task in a distributed processing environment in performing an update task such as modification and deletion on a hash table used to continuously manage data via traffic analysis under a network environment. The method of the present invention comprises a hash update request step where one or more analysis engines transmit update data of a hash table to a hash CMC process engine; and a hash update step where the hash CMC process engine updates data of the hash table (30), and makes the hash CMC process engine receive the hash table update request from the analysis engines and update the hash table data.