CAJ | 학술논문

随着虚拟化技术的发展与普及，越来越多的企业将关键业务系统部署到了虚拟化平台上。虚拟化技术降低了企业的硬件和管理成本，但同时也给系统的可靠性带来了严峻挑战。传统的方法通过运行时系统状态备份的方法来提高系统的失效恢复能力，但该方法会引入了巨大的系统开销。提出了一种基于隐马尔可夫模型的系统失效恢复性能优化方法。通过对系统运行时状态的预测分析，计算系统未来运行状态的概率趋势，并在运行过程中动态调整系统失效恢复功能与正常业务功能之间的资源分配，从而降低了系统的运行时性能开销，提高了业务系统服务能力。实验分析显示，该方法可以在保障系统可靠性的同时有效地降低系统的性能开销，在系统运行状态稳定的情况下，最高可以降低2/3的系统响应时间。
수착허의화기술적발전여보급，월래월다적기업장관건업무계통부서도료허의화평태상。허의화기술강저료기업적경건화관리성본，단동시야급계통적가고성대래료엄준도전。전통적방법통과운행시계통상태비빈적방법래제고계통적실효회복능력，단해방법회인입료거대적계통개소。제출료일충기우은마이가부모형적계통실효회복성능우화방법。통과대계통운행시상태적예측분석，계산계통미래운행상태적개솔추세，병재운행과정중동태조정계통실효회복공능여정상업무공능지간적자원분배，종이강저료계통적운행시성능개소，제고료업무계통복무능력。실험분석현시，해방법가이재보장계통가고성적동시유효지강저계통적성능개소，재계통운행상태은정적정황하，최고가이강저2/3적계통향응시간。
With the development and popularization of virtualization technology, more and more enterprises will deploy their business-critical systems on virtualization platform. While reducing the company's hardware and management costs, virtualization also brings severe challenges for system reliability. While the runtime system state replication backup method can improve the failure recovery capabilities of system, it also introduces huge overhead. This paper presents a performance optimization method based on hidden Markov model for system failure recovery. It analyzes runtime states of the system, and calculates the probability of system running tendency. Business system optimization is achieved by dynamically adjusting resources allocation between the failure recovery function and normal business function to reduce the runtime overhead. Experimental results show that the presented approach can guarantee reliability of the system while effectively reducing performance overhead by up to 2/3.