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- W3041766680 abstract "With the pervasiveness of IoT devices, smart-phones and improvement of location-tracking technologies huge volume of heterogeneous geo-tagged (location specific) data is generated which facilitates several location-aware services. The analytics with this spatio-temporal (having location and time dimensions) datasets provide varied important services such as, smart transportation, emergency services (health-care, national defence or urban planning). While cloud paradigm is suitable for the capability of storage and computation, the major bottleneck is network connectivity loss. In time-critical application, where real-time response is required for emergency service-provisioning, such connectivity issues increases the latency and thus affects the overall quality of system (QoS). To overcome the issue, fog/ edge topology has emerged, where partial computation is carried out in the edge of the network to reduce the delay in communication. Such fog/ edge based system complements the cloud technology and extends the features of the system. This chapter discusses cloud-fog-edge based hierarchical collaborative framework, where several components are deployed to improve the QoS. On the other side. mobility is another critical factor to enhance the efficacy of such location-aware service provisioning. Therefore, this chapter discusses the concerns and challenges associated with mobility-driven cloud-fog-edge based framework to provide several location-aware services to the end-users efficiently." @default.
- W3041766680 created "2020-07-16" @default.
- W3041766680 creator A5030936455 @default.
- W3041766680 creator A5049399884 @default.
- W3041766680 date "2021-01-01" @default.
- W3041766680 modified "2023-10-03" @default.
- W3041766680 title "Mobility Driven Cloud-Fog-Edge Framework for Location-Aware Services: A Comprehensive Review" @default.
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- W3041766680 doi "https://doi.org/10.1007/978-3-030-69893-5_10" @default.
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