A Human-centered Approach to make Networked Entertainment Green: A Case Study of CDN

Ji Hyung Kim, Tigran Bantikyan, Nam Wook Kim, Lewis Tseng
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Abstract

In our day to day lives, we are becoming more re-liant on clouds, which results in an excessive energy consumption by cloud infrastructures. In 2016, the US Department of Energy found that datacenters in the US made up roughly 2 % of all electricity consumption nationwide. Designing a cloud computing system that runs on sustainable energy and simultaneously satisfies increasing user demands with high availability is still an unsolved challenge. We focus on networked entertainment systems in this short paper. The first goal of this paper is to provide a broad research agenda on using a human-in-the-loop design to tackle this challenge, discussing more problems than solutions. Second, we present our design of an interactive Content Delivery Network (CDN) that is the backbone for much networked entertainment, e.g., Netflix and YouTube. Our CDN solution (i) considers user preferences and their tolerance (to unavailability) when tuning system configuration and design, and (ii) uses system metrics and availability predictions to encourage users to adopt more energy- efficient behavior. Finally, we advocate designs that integrate expertise from multiple disciplines, including Human-Computer Interaction, Machine Learning, and Cloud/Pervasive computing, and argue why cloud platforms can benefit from adopting such a holistic approach.
以人为本的绿色网络娱乐:以CDN为例
在我们的日常生活中,我们越来越依赖云,这导致了云基础设施的过度能源消耗。2016年,美国能源部发现,美国数据中心的用电量约占全国用电量的2%。设计一个以可持续能源运行的云计算系统,同时满足日益增长的用户需求和高可用性,仍然是一个未解决的挑战。在这篇短文中,我们关注的是网络娱乐系统。本文的第一个目标是提供一个广泛的研究议程,使用人在环设计来应对这一挑战,讨论更多的问题而不是解决方案。其次,我们介绍了交互式内容交付网络(CDN)的设计,它是许多网络娱乐的骨干,例如Netflix和YouTube。我们的CDN解决方案(i)在调整系统配置和设计时考虑用户偏好及其容忍度(对不可用性),以及(ii)使用系统度量和可用性预测来鼓励用户采用更节能的行为。最后,我们提倡整合多学科专业知识的设计,包括人机交互、机器学习和云/普惠计算,并讨论为什么云平台可以从采用这种整体方法中受益。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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