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Previous work shows request tracing systems help understand and debug theperformance problems of multi-tier services. However, for large-scale datacenters, more than hundreds of thousands of service instances provide onlineservice at the same time. Previous work such as white-box or black box tracingsystems will produce large amount of log data, which would be correlated intolarge quantities of causal paths for performance debugging. In this paper, wepropose an innovative algorithm to eliminate valueless logs of multitiersservices. Our experiment shows our method filters 84% valueless causal pathsand is promising to be used in large-scale data centers.

Decreasing log data of multi-tier services for effective request tracing