TY - CHAP A1 - Fraunholz, Daniel A1 - Schörghofer-Vrinssen, Richard A1 - König, Hartmut A1 - Mühlbauer, Wolfgang A1 - Zahoransky, Richard T1 - Mobility-Enabling Edge Cloud Infrastructure: Testbed and Experimental Evaluation T2 - 2021 IEEE Cloud Summit N2 - Mobility management is a key feature of mobile edge computing. We present an edge cloud infrastructure testbed to explore various mobility scenarios. The design objection of this testbed has been a flexible open platform based on commodity hardware that can easily be scaled with more edge devices and compute resources to perform various edge cloud experiments. As first experiments on our testbed, we have investigated the feasibility of task migration among edge devices caused by edge device overload and unpredictable user movements. We describe the migration process and present some measurements to demonstrate the feasibility. KW - edge cloud computing KW - mobile-access edge computing KW - mobility management KW - 5G KW - body cameras KW - task migration Y1 - 2021 UR - https://doi.org/10.1109/IEEECloudSummit52029.2021.00011 SP - 19 EP - 24 ER - TY - CHAP A1 - Zahoransky, Richard A1 - Mühlbauer, Wolfgang A1 - König, Hartmut ED - IEEE, T1 - Towards Mobility Support in Edge Clouds T2 - 2020 IEEE Cloud Summit N2 - Mobile-access edge clouds provide distributed com-pute capacities for low-latency applications. 5G technology willpave the way for such mobile deployment scenarios. In thispaper, we propose an edge cloud infrastructure that supportslow-latency video analysis connected with bandwidth reductionfor a moving group of persons. As example, we consider a mobilebody camera scenario that monitors the situation in a certain areaand transmits it to an operations center. Our discussion focuseson three aspects: mobility support, low-latency video processing,and bandwidth reduction. For this, we propose a mobile edgecloud infrastructure with a central cloud. In order to optimizevideo processing we optimize the edge cloud device assignmentof the cameras depending on their movement by reassigning itto another cloud device. This requires live migration of ongoingvideo analysis between edge devices. Finally we discuss the useof a mobile central cloud. KW - edge cloud KW - mobile-access edge computing KW - 5G KW - body cameras KW - edge device migration Y1 - 2020 UR - https://doi.org/10.1109/IEEECloudSummit48914.2020.00014 SP - 1 EP - 6 PB - IEEE Xplore ER -