Computation partitioning for mobile cloud computing in a big data environment

J Li, L Huang, Y Zhou, S He… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
The growth of mobile cloud computing (MCC) is challenged by the need to adapt to the
resources and environment that are available to mobile clients while addressing the …

Analysis of a smartphone-based architecture with multiple mobility sensors for fall detection

E Casilari, JA Santoyo-Ramón, JM Cano-García - PLoS one, 2016 - journals.plos.org
During the last years, many research efforts have been devoted to the definition of Fall
Detection Systems (FDSs) that benefit from the inherent computing, communication and …

A mobile data offloading framework based on a combination of blockchain and virtual voting

V Hassija, V Saxena, V Chamola - Software: Practice and …, 2021 - Wiley Online Library
The emergence of mobile cloud computing enables mobile users to offload computation
tasks to other resource‐rich mobile devices to reduce energy consumption and enhance …

A novel fruit fly framework for multi-objective shape design of tubular linear synchronous motor

RM Rizk-Allah, RA El-Sehiemy, S Deb… - The Journal of …, 2017 - Springer
This paper addresses a novel multi-objective fruit fly optimization algorithm (MOFOA) for
solving multi-objective optimization problems. The essence of MOFOA lies in its having two …

Sustainable offloading in mobile cloud computing: Algorithmic design and implementation

A Boukerche, S Guan, RED Grande - ACM Computing Surveys (CSUR), 2019 - dl.acm.org
Mobile Cloud Computing (MCC) has been extensively explored to be applied as a vital tool
to enhance the capabilities of mobile devices, increasing computing power, expanding …

Managing resources continuity from the edge to the cloud: Architecture and performance

X Masip-Bruin, E Marin-Tordera, A Jukan… - Future Generation …, 2018 - Elsevier
The wide spread deployment of smart edge devices and applications that require real-time
data processing, have with no doubt created the need to extend the reach of cloud …

A fast image retrieval method designed for network big data

J Yang, B Jiang, B Li, K Tian, Z Lv - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In the field of big data applications, image information is widely used. The value density of
information utilization in big data is very low, and how to extract useful information quickly is …

Real-time multi-agent system for an adaptive intrusion detection system

WL Al-Yaseen, ZA Othman, MZA Nazri - Pattern Recognition Letters, 2017 - Elsevier
An adaptive intrusion detection system that can detect unknown attacks in real-time network
traffic is a major concern. Conventional adaptive intrusion detection systems are …

Big data analytics enabled by feature extraction based on partial independence

Q Ke, J Zhang, H Song, Y Wan - Neurocomputing, 2018 - Elsevier
Complex cells in primary visual cortex (V1) selectively respond to bars and edges at a
particular location and orientation. Namely, they are relatively invariant to the phase as well …

A novel approach for big data classification and transportation in rail networks

M Saki, M Abolhasan, J Lipman - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
This paper introduces a new framework into future data-driven railway condition monitoring
systems (RCM). For this purpose, we have proposed an edge processing unit that includes …