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Modern distributed systems are often considered to be black boxes that greatly limit the potential to understand behaviors at the level of detail necessary to diagnose some of the most important types of performance problems. Recently researchers have found abnormal response time delays, one to two orders of magnitude longer than the average response time, that exist in short periods and cause economic...
The scalability of n-tier systems relies on effective load balancing to distribute load among the servers of the same tier. We found that load balancing mechanisms (and some policies) in servers used in typical n-tier systems (e.g., Apache and Tomcat) have issues of instability when very long response time (VLRT) requests appear due to millibottlenecks, very short bottlenecks that last only tens to...
The performance unpredictability associated with migrating applications into cloud computing infrastructures has impeded this migration. For example, CPU contention between co-located applications has been shown to exhibit counter-intuitive behavior. In this paper, we investigate IO performance interference through the experimental study of consolidated n-tier applications leveraging the same disk...
The Cloud has enabled the computing model to shift from traditional data centers to publicly shared computing infrastructure; yet, applications leveraging this new computing model can experience performance and scalability issues, which arise from the hidden complexities of the cloud. The most reliable path for better understanding these complexities is an empirically based approach that relies on...
The flexibility and scalability of computing clouds make them an attractive application migration target; yet, the cloud remains a black-box for the most part. In particular, their opacity impedes the efficient but necessary testing and tuning prior to moving new applications into the cloud. A natural and presumably unbiased approach to reveal the cloud's complexity is to collect significant performance...
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