Hybrid method for minimizing service delay in edge cloud computing through VM migration and transmission power control

TG Rodrigues, K Suto, H Nishiyama… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Due to physical limitations, mobile devices are restricted in memory, battery, processing,
among other characteristics. This results in many applications that cannot be run in such …

An overhead-optimizing task scheduling strategy for ad-hoc based mobile edge computing

L Tianze, W Muqing, Z Min, L Wenxing - IEEE Access, 2017 - ieeexplore.ieee.org
In this paper, an overhead-optimizing multi-device task scheduling strategy for ad-hoc-
based mobile edge computing system is proposed. This task scheduling strategy takes the …

EmpTurnoverML: An Efficient Model for Employee Turnover and Customer Churn Prediction Using Machine Learning Algorithms

DS AbdElminaam, M Maged, MK Mousa… - 2023 International …, 2023 - ieeexplore.ieee.org
Employee turnover and customer churn a significant challenges for organizations
worldwide. The loss of employees can significantly impact the company's growth and …

Request dispatching for minimizing service response time in edge cloud systems

H Wu, S Deng, W Li, SU Khan, J Yin… - … and Networks (ICCCN …, 2018 - ieeexplore.ieee.org
The emerging of mobile edge computing has significantly reduced the response time and
Internet risk of service invocations. However, due to the distributed architecture and limited …

[PDF][PDF] An improved security schema for mobile cloud computing using hybrid cryptographic algorithms

AA Taha, DSA Elminaam… - Far East Journal of …, 2018 - researchgate.net
Although cloud computing is a great innovation in the world of computing, there also exist
downsides of cloud computing. These most important challenges are security and privacy of …

NOSCM: A novel offloading strategy for NOMA-enabled hierarchical small cell mobile-edge computing

L Yang, S Guo, L Yi, Q Wang… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
Mobile-edge computing (MEC) is considered as a promising technology in 5G, as it can
solve the contradiction between the explosive growth of computation-intensive tasks and the …

Towards an efficient and Energy-Aware mobile big health data architecture

AN Navaz, MA Serhani, N Al-Qirim… - Computer methods and …, 2018 - Elsevier
Background and objectives Mobile and ubiquitous devices are everywhere, generating an
exorbitant amount of data. New generations of healthcare systems are using mobile devices …

Energy‐aware dynamic task offloading and collective task execution in mobile cloud computing

S Vankadara, N Dasari - International Journal of …, 2020 - Wiley Online Library
There is a good opportunity for enlightening the services of the mobile devices by
introducing computational offloading using cloud technology. Offloading is a process for …

Consumption considered optimal scheme for task offloading in mobile edge computing

L Tianze, W Muqing, Z Min - 2016 23rd International …, 2016 - ieeexplore.ieee.org
Mobile edge computing is a new paradigm of cloud computing which distributes the cloud
resources to the edge of network and closer to the user. It enables mobile devices to …

ML_Alzheimer: Alzheimer Disease Prediction Using Machine Learning

DS AbdElminaam, MM Madbouly… - 2023 International …, 2023 - ieeexplore.ieee.org
Alzheimer's disease is a fatal brain disorder that impacts predominantly the elderly. The
early identification of Alzheimer's illness requires the use of efficient automated methods. For …