云计算系统性能保障若干关键技术研究

项目名称： 云计算系统性能保障若干关键技术研究

项目编号： No.61303064

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 自动化技术、计算机技术

项目作者： 米海波

作者单位： 中国人民解放军国防科学技术大学

项目金额： 23万元

中文摘要： 云计算系统因其规模巨大、交互复杂等因素在开发阶段难以预料线上环境面临的所有情况，其服务性能难以实时满足用户的体验需求。如何对云计算系统的性能进行实时保障已成为目前国际相关领域面临的核心技术挑战。本项目力图从运行时行为监测与性能异常诊断两个方面保障云计算系统的性能。针对这两个方面面临的新挑战，本项目在运行时行为监测方面，将着重研究海量请求条件下的监测支撑机制；在性能异常诊断方面，将着重研究高精度的检测方法、细粒度的定位方法和高效率的修复方法。具体研究包括面向海量请求的云计算系统运行时行为监测支撑机制、基于请求执行路径的云计算系统性能异常检测方法、面向多副本实例的云计算系统性能异常定位方法和基于特征匹配的云计算系统性能异常修复方法四个方面。本项目旨在建立一套切实有效的保障云计算系统性能的理论与机制，提升我国在相关领域的研究水平和自主创新能力。

中文关键词： 云计算；性能保障；性能监测；性能异常诊断；

英文摘要： Because of the massive scales and complicated interactions, it is difficult to cloud computing systems to predict all online situations during the phrase of development. How to guarantee the performance of cloud computing systems in real time has become one of the core technical challenges in the related international areas. This project tries to ensure the performance of cloud computing systems by ways of the system behavior monitoring and performance anomalies diagnosing. In views of the new challenges, the monitor-supporting mechanisms will be studied in aspect of the runtime behavior monitoring; while the approaches of high-precision detecting, fine-granularity localizing and high-efficiency fixing will be researched in term of performance anomalies diagnosing. We research four kinds of key approaches, which involves massive requests oriented runtime behavior monitor-supporting mechanism, request execution paths based performance anomalies detecting approach, multiple replicated instances based performance anomalies localizing approach and feature matching based performance anomalies fixing approach. This project targets to construct a set of theories and mechanisms for the performance guarantee of cloud computing systems and promote the research level as well as the independent innovational ability of our c

英文关键词： Cloud Computing；Performance guarantee；Performance monitor；Performance anomaly diagnosis；