WAE: Workload Automation Engine for CDN-specialized Container Orchestration

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 Workl...

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Main Authors Ak, Elif, Ozdas, Taner, Sevim, Serkan, Canberk, Berk
Format Journal Article
LanguageEnglish
Published 19.11.2020
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Abstract 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.
AbstractList 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.
Author Ozdas, Taner
Canberk, Berk
Ak, Elif
Sevim, Serkan
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BackLink https://doi.org/10.48550/arXiv.2011.10080$$DView paper in arXiv
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Snippet Content Delivery Network (CDN) has been emerged as a compelling technology to provide efficient and scalable web services even under high client request....
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Title WAE: Workload Automation Engine for CDN-specialized Container Orchestration
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