Distributed monitoring and resource management for large cloud environments
Distributed monitoring and resource management for large cloud environments
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DOI：
10.1109/inm.2011.5990531
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发表时间：
2011-05
期刊：
影响因子：
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通讯作者：
F. Wuhib;R. Stadler
中科院分区：
文献类型：
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作者：
F. Wuhib;R. Stadler
在过去的十年中，大规模网络系统的数量、规模和复杂性一直在快速增长，预计这一趋势还将加速。大规模联网系统最著名的例子可能是互联网，而云服务的大型数据中心是最新的。在这样的环境中，一个关键的挑战是为管理功能开发可扩展和自适应的技术。本文通过设计几种适用于大规模网络系统的分布式监控和资源管理协议来应对这一挑战。通过理论分析、仿真研究和试验台实验对协议进行了评估。评估结果表明，协议在质量、效率、可扩展性、可控性和适应性方面都达到了各自的设计目标。
Over the last decade, the number, size and complexity of large-scale networked systems has been growing fast, and this trend is expected to accelerate. The best known example of a large-scale networked system is probably the Internet, while large datacenters for cloud services are the most recent ones. In such environments, a key challenge is to develop scalable and adaptive technologies for management functions. This thesis addresses the challenge by engineering several protocols for distributed monitoring and resource management that are suitable for large-scale networked systems. The protocols are evaluated through theoretical analysis, simulation studies and testbed experimentation. The evaluation results show that the protocols achieve their respective design objectives with respect to quality, efficiency, scalability, controllability and adaptability.