NDLI: Rapidly Alternating Bottlenecks : a Study of Two Cases in N ‐ Tier Applications

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Rapidly Alternating Bottlenecks : a Study of Two Cases in N ‐ Tier Applications

Content Provider	Semantic Scholar
Author	Wang, Qingyang Kanemasa, Yasuhiko Li, Jack Shimizu, Toshihiro Matsubara, Masazumi Kawaba, Motoyuki Pu, Calton
Copyright Year	2014
Abstract	Identifying the location of performance bottlenecks is a non‐trivial challenge when scaling n‐tier applications in computing clouds. Specifically, we observed that an n‐tier application may experience significant performance loss when bottlenecks alternate rapidly between component servers. Such rapidly alternating bottlenecks arise naturally and often from resource dependencies in an n‐tier system and bursty workloads. These rapidly alternating bottlenecks are difficult to detect because the saturation in each participating server may have a very short lifespan (e.g., milliseconds) compared to current system monitoring tools and practices with sampling at intervals of seconds or minutes. Using passive network tracing at fine‐granularity (e.g., aggregate at every 50ms), we are able to correlate throughput (i.e., request service rate) and queue length (i.e., number of concurrent requests) in each server of an n‐tier system. Our experimental results show conclusive evidence of rapidly alternating bottlenecks caused by system software (JVM garbage collection) and middleware (VM collocation).
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://csc.lsu.edu/~qywang/papers/IJCC-Vol1-No1-2013-pp13-25-Wang.pdf
Alternate Webpage(s)	http://www.cc.gatech.edu/grads/q/qywang/papers/IJCC-Vol1-No1-2013-pp13-25-Wang.pdf
Alternate Webpage(s)	http://www.hipore.com/stcc/2013/IJCC-Vol1-No1-2013-pp13-25-Wang.pdf
Language	English
Access Restriction	Open
Subject Keyword	Aggregate data Bottleneck (software) Collocation Computation (action) Garbage collection (computer science) Middleware Multitier architecture Sampling (signal processing) Server (computing) System monitoring Throughput Workload
Content Type	Text
Resource Type	Article

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