2007 IEEE 10th International Symposium on Workload Characterization 2007
DOI: 10.1109/iiswc.2007.4362192
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An Observation-Based Approach to Performance Characterization of Distributed n-Tier Applications

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Cited by 12 publications
(6 citation statements)
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“…Because this approach depends mostly on experiential and cognitive knowledge, it yields high accuracy in detecting known and unknown anomalies. This however, makes it di cult to implement in real-time real time systems because the experiential knowledge of right thresholds, transient anomaly behaviours have to be encoded into an automatic mechanism [ [78]; [53]; [79]]. …”
Section: Observational Detectionmentioning
confidence: 99%
“…Because this approach depends mostly on experiential and cognitive knowledge, it yields high accuracy in detecting known and unknown anomalies. This however, makes it di cult to implement in real-time real time systems because the experiential knowledge of right thresholds, transient anomaly behaviours have to be encoded into an automatic mechanism [ [78]; [53]; [79]]. …”
Section: Observational Detectionmentioning
confidence: 99%
“…One way to ensure that applications meet their performance target or threshold is by performing application-level configuration management. As illustrated in [6], different configuration (w-a-d, where w is the number of web servers, a is the number of application servers, and d is the number of database servers) of the application have different bottlenecks. In this particular code, when the number of users increase, the bottleneck is typically determined to be in a (the number of application servers).…”
Section: Cyber Control For It Resource Provisioningmentioning
confidence: 99%
“…• Second, bursts can result in bottlenecks in certain processing components, as with the multi-tier web applications considered in our work, where the bottleneck incurred by bursts typically resides in their application server components [6].…”
Section: Introductionmentioning
confidence: 99%
“…In our experiments the write ratio is extended adding additional variability as explained in [6]. We utilize the bidding transition as well as neighboring write ratios of 10% and 20% in our evaluation since these transitions are better representatives of an auction site workload [2] and provide a more accurate picture [6]. Our system reuses and extends a recent version of RUBiS from ObjectWeb [13].…”
Section: Experimental Evaluationmentioning
confidence: 99%
“…RUBiS provides two workload transition matrices describing two different user behaviors: a browsing transition consisting of read-only interactions and a bidding transition, including 15% write interactions. In our experiments the write ratio is extended adding additional variability as explained in [6]. We utilize the bidding transition as well as neighboring write ratios of 10% and 20% in our evaluation since these transitions are better representatives of an auction site workload [2] and provide a more accurate picture [6].…”
Section: Experimental Evaluationmentioning
confidence: 99%