Mobile edge computing: A survey on architecture and computation offloading

P Mach, Z Becvar - IEEE communications surveys & tutorials, 2017 - ieeexplore.ieee.org
Technological evolution of mobile user equipment (TIEs), such as smartphones or laptops,
goes hand-in-hand with evolution of new mobile applications. However, running …

A comprehensive survey on fog computing: State-of-the-art and research challenges

C Mouradian, D Naboulsi, S Yangui… - … surveys & tutorials, 2017 - ieeexplore.ieee.org
Cloud computing with its three key facets (ie, Infrastructure-as-a-Service, Platform-as-a-
Service, and Software-as-a-Service) and its inherent advantages (eg, elasticity and …

A survey of wearable devices and challenges

S Seneviratne, Y Hu, T Nguyen, G Lan… - … Surveys & Tutorials, 2017 - ieeexplore.ieee.org
As smartphone penetration saturates, we are witnessing a new trend in personal mobile
devices-wearable mobile devices or simply wearables as it is often called. Wearables come …

[HTML][HTML] Edge computing technologies for Internet of Things: a primer

Y Ai, M Peng, K Zhang - Digital Communications and Networks, 2018 - Elsevier
With the rapid development of mobile internet and Internet of Things applications, the
conventional centralized cloud computing is encountering severe challenges, such as high …

A cooperative partial computation offloading scheme for mobile edge computing enabled Internet of Things

Z Ning, P Dong, X Kong, F **a - IEEE Internet of Things Journal, 2018 - ieeexplore.ieee.org
With the evolutionary development of latency sensitive applications, delay restriction is
becoming an obstacle to run sophisticated applications on mobile devices. Partial …

A manifesto for future generation cloud computing: Research directions for the next decade

R Buyya, SN Srirama, G Casale, R Calheiros… - ACM computing …, 2018 - dl.acm.org
The Cloud computing paradigm has revolutionised the computer science horizon during the
past decade and has enabled the emergence of computing as the fifth utility. It has captured …

Com-DDPG: Task offloading based on multiagent reinforcement learning for information-communication-enhanced mobile edge computing in the internet of vehicles

H Gao, X Wang, W Wei, A Al-Dulaimi… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
The emergence of the Internet of Vehicles (IoV) introduces challenges regarding
computation-intensive and time-sensitive related services for data processing and …

Multi-user offloading for edge computing networks: A dependency-aware and latency-optimal approach

C Shu, Z Zhao, Y Han, G Min… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Driven by the tremendous application demands, the Internet of Things (IoT) systems are
expected to fulfill computation-intensive and latency-sensitive sensing and computational …

Security and privacy challenges in mobile cloud computing: Survey and way ahead

MB Mollah, MAK Azad, A Vasilakos - Journal of Network and Computer …, 2017 - Elsevier
The rapid growth of mobile computing is seriously challenged by the resource constrained
mobile devices. However, the growth of mobile computing can be enhanced by integrating …

Optimal joint scheduling and cloud offloading for mobile applications

SE Mahmoodi, RN Uma… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Cloud offloading is an indispensable solution to supporting computationally demanding
applications on resource constrained mobile devices. In this paper, we introduce the …