Add to ORKGThesis focuses on disk arrays, where the goal is to design test scenarios to measure performance of disk array and use predictive analytics tools to train a model that will predict the selected performance parameter on a measured set of data. The implemented web application demonstrates the functionality of the trained model and shows estimate of the disk array performance
In this paper, we present a generic example to illustrate various points about making future predict...
"Machine Learning Approaches for Predictive Analytics in Cyber-Physical Systems: Harnessing Data to ...
The many configuration options of modern applications make it difficult for users to select a perfor...
Abstract—The performance modeling and analysis of disk arrays is challenging due to the presence of ...
This thesis develops an execution time model for predicting the performance of computation intensive...
A common approach to studying future computer systems is to build simulators that accurately model t...
Storage device performance prediction is a key element of self-managed storage systems. This work ex...
Organizations gather enormous amounts of data and analyze these data to extract insights that can be...
As disk arrays become widely used, tools for understanding and analyzing their performance become in...
The complexity of modern computer systems makes performance modeling an invaluable resource for guid...
The choice of the appropriate database type presents an important factor in any project development....
We discuss the results of experiments on spatial databases, aiming to empirically derive parameters ...
We introduce _quiho_, a framework for profiling application performance that can be used in automate...
Predictive performance analysis is crucial for supporting operational processes. Prediction is chall...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
In this paper, we present a generic example to illustrate various points about making future predict...
"Machine Learning Approaches for Predictive Analytics in Cyber-Physical Systems: Harnessing Data to ...
The many configuration options of modern applications make it difficult for users to select a perfor...
Abstract—The performance modeling and analysis of disk arrays is challenging due to the presence of ...
This thesis develops an execution time model for predicting the performance of computation intensive...
A common approach to studying future computer systems is to build simulators that accurately model t...
Storage device performance prediction is a key element of self-managed storage systems. This work ex...
Organizations gather enormous amounts of data and analyze these data to extract insights that can be...
As disk arrays become widely used, tools for understanding and analyzing their performance become in...
The complexity of modern computer systems makes performance modeling an invaluable resource for guid...
The choice of the appropriate database type presents an important factor in any project development....
We discuss the results of experiments on spatial databases, aiming to empirically derive parameters ...
We introduce _quiho_, a framework for profiling application performance that can be used in automate...
Predictive performance analysis is crucial for supporting operational processes. Prediction is chall...
In order to measure the performance of a parallel machine, a set of application kernels as benchmark...
In this paper, we present a generic example to illustrate various points about making future predict...
"Machine Learning Approaches for Predictive Analytics in Cyber-Physical Systems: Harnessing Data to ...
The many configuration options of modern applications make it difficult for users to select a perfor...