Internet of Things (IoT), mobile cloud, cloudlet, mobile IoT, IoT cloud, fog, mobile edge, and edge emerging computing paradigms: Disambiguation and research …

H Elazhary - Journal of network and computer applications, 2019 - Elsevier
Currently, we are experiencing a technological shift, which is expected to change the way
we program and interact with the world. Cloud computing and mobile computing are two …

[HTML][HTML] Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review

AHA AL-Jumaili, RC Muniyandi, MK Hasan, MJ Singh… - Energy Reports, 2023 - Elsevier
A cloud computing-based power optimization system (CC-POS) is an important enabler for
hybrid renewable-based power systems with higher output, optimal solutions to extend …

A variegated look at 5G in the wild: performance, power, and QoE implications

A Narayanan, X Zhang, R Zhu, A Hassan… - Proceedings of the …, 2021 - dl.acm.org
Motivated by the rapid deployment of 5G, we carry out an in-depth measurement study of the
performance, power consumption, and application quality-of-experience (QoE) of …

Deepsense: A unified deep learning framework for time-series mobile sensing data processing

S Yao, S Hu, Y Zhao, A Zhang… - Proceedings of the 26th …, 2017 - dl.acm.org
Mobile sensing and computing applications usually require time-series inputs from sensors,
such as accelerometers, gyroscopes, and magnetometers. Some applications, such as …

Power consumption analysis, measurement, management, and issues: A state-of-the-art review of smartphone battery and energy usage

PKD Pramanik, N Sinhababu, B Mukherjee… - ieee …, 2019 - ieeexplore.ieee.org
The advancement and popularity of smartphones have made it an essential and all-purpose
device. But lack of advancement in battery technology has held back its optimum potential …

Deep compressive offloading: Speeding up neural network inference by trading edge computation for network latency

S Yao, J Li, D Liu, T Wang, S Liu, H Shao… - Proceedings of the 18th …, 2020 - dl.acm.org
With recent advances, neural networks have become a crucial building block in intelligent
IoT systems and sensing applications. However, the excessive computational demand …

A survey of mobile cloud computing application models

M Othman, SA Madani, SU Khan - … communications surveys & …, 2013 - ieeexplore.ieee.org
Smart phones are now capable of supporting a wide range of applications, many of which
demand an ever increasing computational power. This poses a challenge because smart …

Thinkair: Dynamic resource allocation and parallel execution in the cloud for mobile code offloading

S Kosta, A Aucinas, P Hui, R Mortier… - 2012 Proceedings IEEE …, 2012 - ieeexplore.ieee.org
Smartphones have exploded in popularity in recent years, becoming ever more
sophisticated and capable. As a result, developers worldwide are building increasingly …

A close examination of performance and power characteristics of 4G LTE networks

J Huang, F Qian, A Gerber, ZM Mao, S Sen… - Proceedings of the 10th …, 2012 - dl.acm.org
With the recent advent of 4G LTE networks, there has been increasing interest to better
understand the performance and power characteristics, compared with 3G/WiFi networks. In …

A systematic review of human activity recognition based on mobile devices: overview, progress and trends

Y Yin, L **e, Z Jiang, F **ao, J Cao… - … Surveys & Tutorials, 2024 - ieeexplore.ieee.org
Due to the ever-growing powers in sensing, computing, communicating and storing, mobile
devices (eg, smartphone, smartwatch, smart glasses) become ubiquitous and an …