Rapidly Alternating Bottlenecks: A Study of Two Cases in N-tier Applications

Provided by: International Journal of Cloud Computing
Topic: Data Management
Format: PDF
Identifying the location of performance bottlenecks is a non-trivial challenge when scaling n-tier applications in computing clouds. Specifically, the authors 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.

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