公开(公告)号：US10671636B2

公开(公告)日：2020-06-02

申请号：US15464798

申请日：2017-03-21

Applicant: Korea Electronics Technology Institute

Inventor： Jae Hoon An ,  Jae Gi Son ,  Chang Won Park

IPC: G06F15/16 ,  G06F16/27

Abstract: Provided herein is an In-Memory DB connection support type scheduling method and system for real-time big data analysis in distributed computing environment. The data processing method according to an embodiment of the present disclosure analyzes data based on a distributed computing environment using a distributed system and dynamically alters a structure of a distributed DB constituting the distributed system based on the distributed computing environment. By this method, it is possible to secure concurrency adaptively to the distributed computing environment by dynamically managing the number of shards, and secure real-timeliness through TMO-based scheduling, thereby ultimately improving the speed/efficiency of big data analysis.

公开(公告)号：US10162541B2

公开(公告)日：2018-12-25

申请号：US15465605

申请日：2017-03-22

Applicant: Korea Electronics Technology Institute

Inventor： Jae Hoon An ,  Young Hwan Kim ,  Chang Won Park

IPC: G06F3/06 ,  G06F12/0846 ,  G06F12/0868 ,  G06F12/0871 ,  G06F17/30

Abstract: An adaptive block cache management method and a DBMS applying the same are provided. A DB system according to an exemplary embodiment of the present disclosure includes: a cache configured to temporarily store DB data; a disk configured to permanently store the DB data; and a processor configured to determine whether to operate the cache according to a state of the DB system. Accordingly, a high-speed cache is adaptively managed according to a current state of a DBMS, such that a DB processing speed can be improved.

公开(公告)号：US20170004087A1

公开(公告)日：2017-01-05

申请号：US15188649

申请日：2016-06-21

Applicant: Korea Electronics Technology Institute

Inventor： Jae Hoon An ,  Young Hwan Kim

IPC: G06F12/08

CPC classification number: G06F12/0862 ,  G06F12/0804 ,  G06F12/0868 ,  G06F12/0877 ,  G06F2212/1021 ,  G06F2212/1041 ,  G06F2212/281 ,  G06F2212/6024 ,  G06F2212/6026

Abstract: An adaptive cache management method according to access characteristic of a user application in a distributed environment is provided. The adaptive cache management method includes: determining an access pattern of a user application; and determining a cache write policy based on the access pattern. Accordingly, a delay in speed which may occur in an application can be minimized by efficiently using resources established in a distributed environment and using an adaptive policy.

Abstract translation: 提供了一种根据用户应用程序在分布式环境中的访问特性的自适应高速缓存管理方法。 自适应高速缓存管理方法包括：确定用户应用的访问模式; 以及基于所述访问模式确定高速缓存写入策略。 因此，可以通过有效地使用在分布式环境中建立的资源并使用自适应策略来最小化应用中可能发生的速度延迟。