Journal of KIISE (정보과학회 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Garbage Collection Technique for Non-volatile Memory by Using Tree Data Structure

트리 자료구조를 이용한 비 휘발성 메모리의 가비지 수집 기법

  • 이도근 (한양대학교 컴퓨터소프트웨어학과) ;
  • 원유집 (한양대학교 컴퓨터소프트웨어학과)
  • Received : 2015.07.23
  • Accepted : 2015.10.28
  • Published : 2016.02.15
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Abstract

Most traditional garbage collectors commonly use the language level metadata, which is designed for pointer type searching. However, because it is difficult to use this metadata in non-volatile memory allocation platforms, a new garbage collection technique is essential for non-volatile memory utilization. In this paper, we design new metadata for managing information regarding non-volatile memory allocation called "Allocation Tree". This metadata is comprised of tree data structure for fast information lookup and a node that holds an allocation address and an object ID pair in key-value form. The Garbage Collector starts collecting when there are insufficient non-volatile memory spaces, and it compares user data and the allocation tree for garbage detection. We develop this algorithm in a persistent heap based non-volatile memory allocation platform called "HEAPO" for demonstration.

비 휘발성 메모리를 할당받아 사용하기 위해서는 비 휘발성 메모리 전용의 가비지 수집 기법이 필수적이다. 본 논문에서는 이를 위해 비 휘발성 메모리 할당 정보 관리용 메타데이터를 설계하였고 이를 Allocation Tree라고 명명하였다. 이 메타데이터는 검색 속도의 향상을 위해 트리 자료구조를 이용하여 구성되었고, 하나의 노드 안에는 할당 메모리 시작 주소와 저장소 ID 정보가 키-밸류 형태로 저장된다. 비 휘발성 메모리 공간이 부족하여 가용 공간이 70% 이하로 떨어지면 가비지 수집기가 작동되어 가비지 수집을 수행하게 되고 Allocation Tree와 사용자 데이터를 비교하여 가비지를 판정한다. 본 연구에서는 이 알고리즘을 Persistent Heap기반의 메모리 할당 플랫폼인 'HEAPO'에서 구현하여 정상적으로 동작함을 증명하였다.

Keywords

Acknowledgement

Grant : 차세대 메모리 기반의 스마트 디바이스용 임베디드 시스템 소프트웨어

Supported by : 한국산업기술평가관리원

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