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机构地区:[1]苏州科技大学电子与信息工程学院,苏州215000 [2]东南大学计算机科学与工程学院,南京211189
出 处:《南京航空航天大学学报》2017年第6期883-891,共9页Journal of Nanjing University of Aeronautics & Astronautics
基 金:江苏省自然科学基金(BK20151202)资助项目;住建部科研基金(2015-K6-012;2015-K8-035)资助项目
摘 要:由于在改善网络带宽性能、缓解堵塞、提升用户体验等方面的优势,缓存技术在网络应用中被广泛使用,然而当前越来越多的网络应用迁移至云平台,原来针对单一业务和主机环境的缓存管理机制在面对云计算下多用户、多业务混杂环境时暴露出诸如不具备多业务类型的普适性、管理策略与云平台的资源配置脱节、未考虑多用户环境下缓存数据的复杂性、重复性等不足,最终影响缓存效果和资源利用效率,因此研究一种面向多用户环境的弹性云缓存系统,首先分析多用户、多业务的云环境对缓存管理的需求特点,提出基于双层映射的缓存存取模型,然后设计缓存系统框架与功能模块,并研究相应的逻辑、物理资源的配置算法及其他功能的实现方案,最后在校园网环境下实现缓存系统并对其进行验证,分析结果表明本文提出的缓存系统能够有效满足用户需求同时提高资源利用率。Because of various advantages such as improving the performance of bandwidth, relieving traffic congestion and enhancing user experiences, buffer management systems are widely used in network applications. However, now more and more applications have migrated to the cloud platform, so tradi- tionally buffer management mechanisms expose many shortcomings. These mechanisms cannot deal with different applications of the platform, and their strategies separate from the source management and ignore the requirements of multi-user environment. This paper proposes a novel elastic cloud-base buffer management system for multi-user environment. Firstly, the requirements of multi-application and multi-user clouding environment are analyzed. Second, a two-layer-mapping-based buffer model is proposed to the requirements, and the frame structure function modules are designed. Then the allocation algorithms for logical resources and physical resources are analyzed. Finally, the buffer manage- ment system is realized and tested. The experimental results indicate that the mechanism has advantages in ensuring the users' requirement and improving the resource utilization.
分 类 号:TP311[自动化与计算机技术—计算机软件与理论]
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