Mobility driven Cloud-Fog-Edge Framework for Location-aware Services: A Comprehensive Review

07/05/2020
by   Shreya Ghosh, et al.
0

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.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/22/2018

Fog Computing Architecture: Survey and Challenges

Emerging technologies that generate a huge amount of data such as the In...
research
05/14/2018

Fog Assisted Cloud Models for Smart Grid Architectures- Comparison Study and Optimal Deployment

Cloud Computing (CC) serves to be a key driver for fulfilling the store ...
research
06/25/2021

Cost-efficient, QoS and Security aware Placement of Smart Farming IoT Applications in Cloud-Fog Infrastructure

Smart farming is a recent innovation in the agriculture sector that can ...
research
02/16/2021

Blockchain-based Security Services for Fog Computing

Fog computing is a paradigm for distributed computing that enables shari...
research
08/10/2020

Cloud Fog Architectures in 6G Networks

Prior to the advent of the cloud, storage and processing services were a...
research
10/02/2021

AI Back-End as a Service for Learning Switching of Mobile Apps between the Fog and the Cloud

Given that cloud servers are usually remotely located from the devices o...
research
11/30/2017

Virtualized Control over Fog: Interplay Between Reliability and Latency

This paper introduces an analytical framework to investigate optimal des...

Please sign up or login with your details

Forgot password? Click here to reset