Titlebook: Collaborative Computing: Networking, Applications and Worksharing; 15th EAI Internation Xinheng Wang,Honghao Gao,Geyong Min Conference proc

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https://doi.org/10.1007/978-94-017-6004-1lity of service (QoS) requirements. Recently, IoT device management service (MS) providers are arising to serve device owners. Device owners can now easily manage their devices by using IoT device MSs. It is critical to select suitable MSs from numerous candidates for devices. An optimal service sel

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https://doi.org/10.1007/978-3-319-74823-8ormed. Different from the traditional cloud service, the cloud-edge hybrid environment has the characteristics of limited resource storage, limited energy at the edge and uncertain users who move frequently. Dynamic reconfiguration in this mode is challenging. QoS is an important indicator of servic

Forehead-Lift

Helen Elliott,Kerensa Hocken,Phil Banyardf centralized network management has been considered as an optimal choice to manage IoT. Edge computing brings cloud recourses near the IoT to localize the cloud demands. Consequently, SDN, IoT, and edge computing can be combined into a framework to create a resourceful SDIoT-Edge architecture to ef

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Sexual Crime and Intellectual Functioninges, implies the state of urban operation, insight into the development trend. Due to the multidimensional characteristics and diverse analysis needs of spatial-temporal data, data analysis based on spatial-temporal data must take into account the large capacity, diversity and frequent changes of dat

ordain

Lorraine Perry,Simon Duff,Lisa Wrightnterest in the recent years. Enterprise knowledge graph is a common tool of data integration and knowledge discovery and it has become a backbone to APIs that demand access to structured knowledge. A piece which was previously unnoticed in building enterprise knowledge graph, is adding an abstract l

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