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Predicting Web service response time percentiles is often an important aspect of service level management exercises. Existing techniques can be very time consuming since they involve the manual construction of complex analytic or simulation models. To address this problem, we propose Prospective, a fully automated and data-driven approach for predicting Web service response time percentiles. Prospective...
This paper presents a case study of traffic travel time estimation for the Deerfoot Trail highway in Calgary, AB, Canada. We analyzed the travel time for 12 hours per day for 5 consecutive months. The collected data are posted by Google maps, which are collected using hypertext transfer protocol requests. This paper provides a construction of the Holt-Winters forecasting model that streamlines the...
Predictive performance models are important tools that support system sizing, capacity planning, and systems management exercises. We introduce the Weighted Average Method (WAM) to improve the accuracy of analytic predictive performance models for systems with bursts of concurrent customers. WAM considers the customer population distribution at a system to reflect the impact of bursts. The WAM approach...
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