클라우드 컴퓨팅 환경에서 빅데이터 처리를 위한 ART 기반의 적응형 자원관리 방법 = Adaptive Resource Management Method base on ART in Cloud Computing Environment

다국어 초록 (Multilingual Abstract)

The cloud environment need resource management method that to enable the big data issue and data analysis technology. Existing resource management uses the limited calculation method, therefore concentrated the resource bias problem. To solve this problem, the resource management requires the learning-based scheduling using resource history information. In this paper, we proposes the ART (Adaptive Resonance Theory)-based adaptive resource management. Our proposed method assigns the job to the suitable method with the resource monitoring and history management in cloud computing environment. The proposed method utilizes the unsupervised learning method. Our goal is to improve the data processing and service stability with the adaptive resource management. The propose method allow the systematic management, and utilize the available resource efficiently.

참고문헌 (Reference)

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