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Content Delivery Networks - Q-Learning Approach for Optimization of the Network Cost and the Cache Hit Ratio | IEEE Conference Publication | IEEE Xplore

Content Delivery Networks - Q-Learning Approach for Optimization of the Network Cost and the Cache Hit Ratio


Abstract:

With an increasing demand for web content delivery, it is necessary to optimize the CAPEX and OPEX costs of the Content Delivery Networks. Ideally, all web content to be ...Show More

Abstract:

With an increasing demand for web content delivery, it is necessary to optimize the CAPEX and OPEX costs of the Content Delivery Networks. Ideally, all web content to be requested should be stored in local cache nodes at all times. However, the content demand varies across space and time. In this paper, we propose a Content Delivery Network model that allows us to choose the best trade-off between costs and cache hit ratio.
Date of Conference: 30 August 2020 - 02 September 2020
Date Added to IEEE Xplore: 19 November 2020
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Conference Location: London, ON, Canada

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