Energy-Efficient Data Transfer Algorithms for HTTP-Based Services

TL;DR

This paper proposes application-level tuning algorithms for HTTP data transfers that significantly reduce energy consumption while maintaining or improving throughput, addressing the growing environmental and economic costs of Internet data movement.

Contribution

It introduces SLA-based algorithms for optimizing HTTP parameters to enhance energy efficiency without performance loss, backed by experimental validation.

Findings

Up to 80% energy savings in HTTP data transfers

Simultaneous increase in end-to-end throughput

Effective parameter tuning without performance degradation

Abstract

According to recent statistics, more than 1 zettabytes of data is moved over the Internet annually, which consumes several terawatt hours of electricity, and costs billions of US dollars to the world economy. HTTP protocol is used in the majority of these data transfers, accounting for 70% of the global Internet traffic. We claim that HTTP transfers, and the services based on HTTP, can become more energy efficient without any performance degradation by application-level tuning of certain protocol parameters. In this paper, we analyze several application-level parameters that affect the throughput and energy consumption in HTTP data transfers, such as the level of parallelism, concurrency, and pipelining. We introduce SLA-based algorithms which can decide the best combination of these parameters based on user-defined energy efficiency and performance criteria. Our experimental results show that up to 80% energy savings can be achieved at the client and server hosts during HTTP data transfers and the end-to-end data throughput can be increased at the same time.