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perccom_summer_school_2018:group4:start [2018/05/28 15:57]
gderoche 		perccom_summer_school_2018:group4:start [2018/06/02 01:03] (current)
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 **Supervisor(s):** Professor Eric Rondeau; Dr. Jean-Philippe Georges\\ **Supervisor(s):** Professor Eric Rondeau; Dr. Jean-Philippe Georges\\
 **Hosting Institution:** University of Lorraine\\ **Hosting Institution:** University of Lorraine\\
-**Abstract:** Insert thesis abstract(200 words)\\+**Abstract:** Multimedia services getting more popular day by day, especially increasing demand for video streaming services resulting in huge amounts of data to be transferred every day. To handle such gigantic volumes of data, Content Delivery Network (CDN) plays a crucial role by geographically distributing servers in multiple locations. Edge computing is a new paradigm, promising to enable low latency and real-time communication and guaranteeing an adequate Quality of Experience (QoE) for end users by taking storage and computational resources near to user at the network edge. Such complex architectures require centralized approach with programmability, where Software-Defined Networking (SDN) addresses required capabilities. However, Quality in Sustainability (QiS) metrics, such as energy consumption and carbon emission of video streaming services using CDN and edge/fog computing technologies integrated with SDN are not considered in most of the prior works in the area. Therefore, in this paper, we propose new green services to manage and optimize an energy consumption as well as reduce carbon emission using server placement optimization. We performed set of experiments using various architectures based on Mininet network simulator and SDN controller to prove the efficiency of the solution. Moreover, we perform an evaluation of such green energy management services, present achieved high sustainability gains and present research challenges.\\
 **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\ **Paper:** [[https://www.doria.fi/|Insert link to thesis paper]].\\