machinelearning

Automatic Generation of Behavioral Hard Disk Drive Access Time Models

Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and require intimate knowledge of the internal layout of the drive, which can take months to extract. Automatically …

Automatic Generation of Behavioral Hard Disk Drive Access Time Models

Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and require intimate knowledge of the internal layout of the drive, which can take months to extract. Automatically …

Fourier-Assisted Machine Learning of Hard Disk Drive Access Time Models

Predicting access times is a crucial part of predicting hard disk drive performance. Existing approaches use white-box modeling and require intimate knowledge of the internal layout of the drive, which can take months to extract. Automatically …

FLAMBES: Evolving Fast Performance Models

On Bandwidth Smoothing

The bandwidth usage due to HTTP traffic often varies considerably over the course of a day, requiring high network performance during peak periods while leaving network resources unused during off-peak periods. We show that using these extra network …

A Feasibility Study of Bandwidth Smoothing on the World-Wide Web Using Machine Learning

The bandwidth usage due to HTTP traffic often varies considerably over the course of a day, requiring high network performance during peak periods while leaving network resources unused during off-peak periods. We show that using these extra network …

Improving Resource Utilization of Enterprise-Level World-Wide Web Proxy Servers

The resource utilization of enterprise-level Web proxy servers is primarily dependent on network and disk I/O latencies and is highly variable due to a diurnal workload pattern with very predictable peak and off-peak periods. Often, the cost of …