Energy-aware data throughput optimization for next generation internet
Energy-aware data throughput optimization for next generation internet
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DOI：
10.1016/j.ins.2018.09.065
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发表时间：
2019-02
期刊：
影响因子：
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通讯作者：
T. Kosar;I. Alan;Muhammed Fatih Bulut
中科院分区：
文献类型：
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作者：
T. Kosar;I. Alan;Muhammed Fatih Bulut
根据最近的统计数据，每年有超过1ZB的数据在互联网上移动，这消耗了几个太瓦小时的电力，并给世界经济造成数十亿美元的损失。超文本传输协议（HTTP）用于大多数数据传输，占全球互联网流量的70%。我们声称，HTTP传输和基于HTTP的服务可以通过对某些协议参数进行应用程序级调整而变得更加节能，而不会降低性能。在本文中，我们分析了几个应用程序级的参数，影响HTTP数据传输的吞吐量和能耗，如并行，并发和流水线的水平。我们引入新的服务水平协议（SLA）的算法，可以决定这些参数的最佳组合，考虑用户定义的能源效率和性能标准。我们的实验结果表明，在HTTP数据传输过程中，客户端和服务器主机可以实现高达80%的节能，同时增加了端到端的传输吞吐量。
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. Hypertext Transfer Protocol (HTTP) 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 novel service-level-agreement (SLA) based algorithms which can decide the best combination of these parameters considering 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, while increasing the end-to-end transfer throughput at the same time.