当前位置: X-MOL 学术arXiv.cs.NI › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
WAE: Workload Automation Engine for CDN-specialized Container Orchestration
arXiv - CS - Networking and Internet Architecture Pub Date : 2020-11-19 , DOI: arxiv-2011.10080
Elif Ak, Taner Ozdas, Serkan Sevim, Berk Canberk

Content Delivery Network (CDN) has been emerged as a compelling technology to provide efficient and scalable web services even under high client request. However, this leads to a dilemma between minimum deployment cost and robust service under heavy loads. To solve this problem, we propose the Workload Automation Engine (WAE) which enables dynamic resource management, automated scaling and rapid service deployment with least cost for CDN providers. Our modular design uses an algorithm to calculate the optimal assignment of virtual CDN functions such as streaming, progressive delivering and load balancer. In particular, we study on real CDN data which belongs to Medianova CDN Company in Turkey. Also we use Docker containerization as an underlying system. The results reveal that our containerized design reduces the latency and deployment cost by 45% and by 66%, respectively. Moreover, we obtain roughly 20% more CPU efficiency and 35% more utilized network.

中文翻译:

WAE:用于CDN专用容器编排的Workload Automation Engine

内容交付网络(CDN)已成为一种引人注目的技术,即使在客户要求很高的情况下,也可以提供高效且可扩展的Web服务。但是,这导致最低部署成本与重负载下的可靠服务之间的困境。为解决此问题,我们提出了工作负载自动化引擎(WAE),该引擎可实现动态资源管理,自动扩展和快速服务部署,而CDN提供程序的成本却最低。我们的模块化设计使用一种算法来计算虚拟CDN功能(例如流,渐进式交付和负载平衡器)的最佳分配。特别是,我们研究了属于土耳其Medianova CDN公司的真实CDN数据。此外,我们使用Docker容器化作为基础系统。结果表明,我们的容器化设计将延迟和部署成本分别降低了45%和66%。而且,我们获得了大约20%的CPU效率提高了35%的利用率。
更新日期:2020-11-23
down
wechat
bug