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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 …