On Client-Side Bottleneck Identification in HTTP Servers



Standing on virtualization techniques, low maintenance costs and economies of scale, cloud computing emerged in the last few years as a major trend in the industry. Since cloud resources grow and shrink as needed, providers and users of the cloud must carefully determine the exact amount of such resources they need. For this reason, getting accurate and timely information from the system is of paramount importance to properly adjust the means serving a given application. However, previous attempts to detect bottlenecks have resulted in complex, heavy and customized frameworks that lack any sort of standardization and may change widely from provider to provider. Improved monitoring mechanisms should be independent from the server technology, should require little to no configuration and should provide information of the real quality of service offered to clients.

To reach these goals, we intend to observe the server infrastructure from the outside and gather the smallest possible number of metrics from the inside. We undertook several experiments in a controlled server, to identify the patterns that correspond to bottlenecks. These experiments clearly show that one can actually diagnose different bottlenecks, by analyzing response times on browsers. These results pave the way to future monitoring mechanisms, mostly based on quality of service evidence, supported by user data.


Distributed Systems


INForum 2015 - 7º Simpósio de Informática, September 2015

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