발현 유전자 분석을 위한 고성능 클라우드 서비스 구축
High Performance Cloud Service for Expressed Sequence Tag Analysis
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초록
논문에서는 고성능 컴퓨 클라우드 기반의 발 유자 분석 서비스를 제공하는 EST-cloud를 제안한다. EST 이라인은 순차 로그램으로 구성되어 있어서, 고성능 컴퓨 시스템에서 EST 분석을 실행하려면 상당한 기술 노력을 요구한다. 이러한 이유로 고성능 컴퓨 지식이 충분하지 않은 생물정보학 연구자라도 이러한 문제를 쉽게 해결할 수 있도록 돕기 해 EST-cloud를 개발하고자 한다. 이를 해 EST 분석 이라인을 비교 손쉬운 클 러스터 컴퓨 환경으로 확장하여, 사용자가 EST 분석을 가상화 기반의 클라우드에서 실행할 수 있도록 한다. 한 EST 분석 이라인을 라이빗 클라우드 인라에 이식하여 웹 서비스로 제공한다. EST-cloud에서 가상 컴퓨 스토리지 자원을 효율으로 리하기 해, 가상 인라를 동으로 리할 수 있는 KRSE를 고안하여 제시 한다. KRSE는 EST 분석 이라인의 분산 병렬 처리를 자동화하며, EST 분석 성능 (체 처리시간)을 35% 정 도 감한다. EST-cloud는 http://estcloud.kobic.re.kr에 속하여 사용 가능하다.
Abstract
In this paper, EST-Cloud, which provides an analysis service of Expressed Sequenced Tag (EST) based on cloud computing, is proposed. Since many EST pipelines consists of sequential programs, it requires some technical efforts to compute EST analysis on high performance computing systems. Hence, we develop EST-Cloud to help bioinformatics researchers easily overcome this problem without enough knowledge of high-performance computing. To do this we extend EST analysis pipeline to a relatively low-priced cluster computing environment, which allows users to execute EST analysis on a virtualized cloud. We also transplant the EST pipeline on in-house private cloud infrastructures and provides EST analysis as a web service. In order to efficiently manage virtualized computing and storage resources for EST-cloud, we devise a special-purpose scheduler, KOBIC Resource Scheduling Engine(KRSE), which dynamically manages virtual infrastructure for EST-cloud. KRSE automates distributed and parallel execution of EST analysis. By applying KRSE to EST-cloud, total response time for EST analysis has been reduced by 35%. EST-Cloud can be used at http://estcloud.kobic.re.kr.
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