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Web容量规划之美
book

Web容量规划之美

by Arun Kejariwal, John Allspaw
August 2019
Beginner to intermediate
232 pages
3h 50m
Chinese
China Electric Power Press Ltd.
Content preview from Web容量规划之美
110
3
2.
测量并记录服务器的基础硬件资源。
示例:
CPU
、内存、磁盘、网络使用。
3.
确定服务器的主要功能如何与其硬件资源相关联。
示例:
N
个数据库查询占用
M%
CPU
使用率降低。
4.
通过使用下列方法之一,基于服务器的主要功能和硬件资源找到可接受的最大
资源使用量(或上限):
通过使用负载均衡服务或应用程序技术,人工(而小心)增加真实的生产
负载到服务器。
尽可能地模拟真实的生产负荷。
延展阅读
性能
1. J. M. Anderson et al. (1997).
Continuous profiling: where have all the cycles gone?
2. G. Ren et al. (2010).
Google-Wide Profiling: A Continuous Profiling Infrastructure
for Data Centers.
3. J. Dai et al. (2011).
HiTune: dataflow-based performance analysis for big data
cloud.
4. M. Kambadur et al. (2012).
Measuring interference between live datacenter
applications.
5. U. Erlingsson et al. (2012).
Fay: Extensible Distributed Tracing from Kernels to
Clusters.
6. B. Gregg. (2012).
Thinking Methodically about Performance.
7. M. Schwarzkopf ...
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Publisher Resources

ISBN: 9787519831073