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http://dx.doi.org/10.3745/KTCCS.2017.6.10.415

A Method of Selecting Layered File System Based on Learning Block I/O History for Service-Customized Container  

Yong, Chanho (경희대학교 컴퓨터공학과)
Na, Sang-Ho (한국과학기술정보연구원슈퍼컴퓨팅본부)
Lee, Pill-Woo (한국과학기술정보연구원슈퍼컴퓨팅본부)
Huh, Eui-Nam (경희대학교 컴퓨터공학과)
Publication Information
KIPS Transactions on Computer and Communication Systems / v.6, no.10, 2017 , pp. 415-420 More about this Journal
Abstract
Virtualization technique of OS-level is a new paradigm for deploying applications, and is attracting attention as a technology to replace traditional virtualization technique, VM (Virtual Machine). Especially, docker containers are capable of distributing application images faster and more efficient than before by applying layered image structures and union mount point to existing linux container. These characteristics of containers can only be used in layered file systems that support snapshot functionality, so it is required to select appropriate layered file systems according to the characteristics of the containerized application. We examine the characteristics of representative layered file systems and conduct write performance evaluations of each layered file systems according to the operating principles of the layered file system, Allocate-on-Demand and Copy-up. We also suggest the method of determining a appropriate layered file system principle for unknown containerized application by learning block I/O usage history of each layered file system principles in artificial neural network. Finally we validate effectiveness of artificial neural network created from block I/O history of each layered file system principles.
Keywords
Docker; Container; Layered File System; Docker Image; Machine Learning;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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