[HTML][HTML] Distributed application execution in fog computing: A taxonomy, challenges and future directions
With tremendous advancements in smart phone industry and IoT devices, edge computing
has emerged to provide computational services at edge of the network. As a result …
has emerged to provide computational services at edge of the network. As a result …
Adaptive context-aware energy optimization for services on mobile devices with use of machine learning
P Nawrocki, B Sniezynski - Wireless Personal Communications, 2020 - Springer
In this paper we present an original adaptive task scheduling system, which optimizes the
energy consumption of mobile devices using machine learning mechanisms and context …
energy consumption of mobile devices using machine learning mechanisms and context …
Adaptive context-aware energy optimization for services on mobile devices with use of machine learning considering security aspects
In this paper we present an original adaptive task scheduling system, which optimizes the
energy consumption of mobile devices using machine learning mechanisms and context …
energy consumption of mobile devices using machine learning mechanisms and context …
Adaptive context‐aware service optimization in mobile cloud computing accounting for security aspects
In this article, we present an original agent‐based adaptive task scheduling system which
optimizes the performance of services in the mobile cloud computing environment using …
optimizes the performance of services in the mobile cloud computing environment using …
Team: Time and energy aware application partitioning and resource allocation strategy on mec platform
V Deka, C Guleria, M Ghose - 2020 IEEE 17th India Council …, 2020 - ieeexplore.ieee.org
In recent times, the hand-held smart devices are entrusted with running several data and
compute-intensive applications which are often of critical nature. As a result, the mobile …
compute-intensive applications which are often of critical nature. As a result, the mobile …