[PDF][PDF] A trust evaluation scheme of service providers in mobile edge computing

MBM Mansour, T Abdelkader, MH AbdelAziz… - International Journal of …, 2022 - academia.edu
Mobile edge computing (MEC) is a new computing paradigm that brings cloud services to
the network edge. Despite its great need in terms of computational services in daily life …

[HTML][HTML] Bloom filter approach for autonomous data acquisition in the edge-based MCS scenario

M Antonić, A Antonić, I Podnar Žarko - Sensors, 2022 - mdpi.com
Mobile crowdsensing (MCS) is a sensing paradigm that allows ordinary citizens to use
mobile and wearable technologies and become active observers of their surroundings. MCS …

Device-centric adaptive data stream management and offloading for analytics applications in future internet architectures

MH ur Rehman, CS Liew, TY Wah, M Imran… - Future Generation …, 2021 - Elsevier
Abstract Information-Centric Networking (ICN) enables in-network data management and
communication between multiple parties by replicating data and activating interactions …

Computation offloading in mobile edge computing: an optimal stopping theory approach

I Alghamdi - 2021 - theses.gla.ac.uk
In recent years, new mobile devices and applications with different functionalities and uses,
such as drones, Autonomous Vehicles (AV) and highly advanced smartphones have …

Understanding the potential of edge-based participatory sensing: an experimental study

BD Cruz, J Cheng, Z Song… - 2020 IEEE 91st Vehicular …, 2020 - ieeexplore.ieee.org
Participatory sensing uses both local devices for data collection and cloud-based servers for
processing. However, transferring the collected data to the cloud can lead to draining device …

Autonomous data acquisition in the hierarchical edge-based MCS ecosystem

M Marjanović, A Antonić, IP Žarko - 2018 6th International …, 2018 - ieeexplore.ieee.org
Mobile crowdsensing (MCS) is a human-driven sensing paradigm that empowers ordinary
citizens to use their mobile devices and become active observers of the environment. Due to …

Data caching at fog nodes under IoT networks: Review of machine learning approaches

N Gupta, Q Xin - Deep Learning for Internet of Things …, 2021 - taylorfrancis.com
Internet of Things (IoT) devices (wireless sensors, actuators, computer devices) produce a
large volume and variety of data, and the data produced by the IoT devices are transient. To …

Edge Computing in the Digital Era: The Nexus of 5G, IoT and a Seamless Digital Future

Z Rasheed, YK Ma, I Ullah, Y Tao, I Khan… - … Systems Using Artificial … - taylorfrancis.com
The need for technologies that swiftly and securely process data at its source is increasingly
pronounced in the rapidly evolving digital landscape, marked by heightened …

Cost-aware big data stream processing in cloud environment

A Al-Mansoori, J Abawajy, M Chowdhury - Cloud Computing: 10th EAI …, 2021 - Springer
The increasing size of big data and the speed with which it is generated have put a
tremendous burden on cloud storage and communication systems. Network traffic and …

A trust evaluation scheme of service providers in mobile edge computing.

MB Monir Mansour, T Abdelkader… - … Journal of Electrical …, 2022 - search.ebscohost.com
Mobile edge computing (MEC) is a new computing paradigm that brings cloud services to
the network edge. Despite its great need in terms of computational services in daily life …