Titlebook: Edge Computing – EDGE 2019; Third International Tao Zhang,Jinpeng Wei,Liang-Jie Zhang Conference proceedings 2019 Springer Nature Switzerl

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Conference proceedings 2019 The 5 full papers and 1 short paper presented in this volume were carefully reviewed and selected from 14 submissions. The contributions deal with the latest fundamental advances in the state of the art and practice of edge computing, identifying emerging research topics and defining the future of edge computing..

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Characterization of IoT Workloads,fined as the set of all inputs received by the system from its environment during one or more time windows. The characterization of the workload entails determining the nature of its basic components as well as a quantitative and probabilistic description of the workload components in terms of both

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Latency Control for Distributed Machine Vision at the Edge Through Approximate Computing,ing latency in the wireless communication links between the cameras nodes and the Edge server is challenging, especially in the cheap and easily available unlicensed bands due to the interference from other camera nodes in the system, and from external sources. In this paper, we show how approximate

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Energy-Aware Capacity Provisioning and Resource Allocation in Edge Computing Systems,e, minimizing the energy consumption in such systems is of critical importance. In this paper, we address the problem of energy-aware optimization of capacity provisioning and resource allocation in edge computing systems. The main goal is to provision and allocate resources such that the net profit

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Volunteer Cloud as an Edge Computing Enabler,the devices. Edge Computing is one of the solutions that tries to process data close to the origin, which is the edge of networks. Emerging cloud systems, such as volunteer clouds, can also be used towards the processing of data produced by IoT devices. This paper proposes a Volunteer Computing as a

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0302-9743 al with the latest fundamental advances in the state of the art and practice of edge computing, identifying emerging research topics and defining the future of edge computing..978-3-030-23373-0978-3-030-23374-7Series ISSN 0302-9743 Series E-ISSN 1611-3349

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Dharshini Seneviratne,Fahmida Mariamthe arrival process, event counts, and service demands. Several workload characterization studies were presented for a variety of domains, except for IoT workloads. This is precisely the main contribution of this paper, which also presents a capacity planning study based on one of the workload characterizations presented here.