Storage device performance prediction with CART models
نویسندگان
چکیده
منابع مشابه
Storage Device Performance Prediction with SBCART (Selective Bagging Classification and Regression Tree) Models
Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment and configuration. Based on bagging ensemble, we proposed an algorithm named selective bagging classification and regression tree (SBCART) to model storage device performance. It can improve the accuracy of a single CART model. In contrast with CART mode...
متن کاملStorage Device Performance Prediction with Selective Bagging Classification and Regression Tree
Storage device performance prediction is a key element of self-managed storage systems and application planning tasks, such as data assignment and configuration. Based on bagging ensemble, we proposed an algorithm named selective bagging classification and regression tree (SBCART) to model storage device performance. In addition, we consider the caching effect as a feature in workload character...
متن کاملOnline Performance Prediction with Architecture-Level Performance Models
Today’s enterprise systems based on increasingly complex software architectures often exhibit poor performance and resource efficiency thus having high operating costs. This is due to the inability to predict at run-time the effect of changes in the system environment and adapt the system accordingly. We propose a new performance modeling approach that allows the prediction of performance and s...
متن کاملOptimization of Polish segmental duration prediction with CART
The dependence of segmental duration on two sets of features was tested with the CART algorithm for a 2-hour speech corpus. The results were then compared to the results obtained previously for a limited database of 50 minutes with one of the feature sets. Both corpora contain recordings provided by the same male speaker, and both of them were annotated according to the same procedure. The dura...
متن کاملA Comprehensive Analytical Performance Modelfor Disk - Storage Device Technologies
In this paper we study the retrieval performance of disk storage devices. In general, the fundamental modeling characteristics of disk device technologies are their magnetic/optical nature , the angular and linear velocities, their storage capacities and their transfer rates. Current disk technologies diier in terms of these characteristics. Angular and linear velocities, storage capacities and...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: ACM SIGMETRICS Performance Evaluation Review
سال: 2004
ISSN: 0163-5999
DOI: 10.1145/1012888.1005743