An Analysis the Energy Consumption of Dynamic Task Offloading and Task Execution in MCC

Cloud computing is a group of distributed computing resources that may run any application. MCC is the result of merging the cloud environment with mobile devices. computational offloading is carried out on the cloud in order to save the processing capacity of handheld devices. There will be a rise in computing as the number of sensors used increases, necessitating greater data analysis. Another problem with mobile environments is the power drain on batteries. One solution is to move the work to a remote location where it can be more efficiently executed. In this off-site setting, you'll find powerful cloud servers with plenty of processing capacity. One way that dense mobile apps were able to move their work to the cloud is through computational offload. why it's important to provide a proper explanation of the time constraint in wireless & distant environments, and how reaction time affects offloading for mobile devices & remote servers.

Authors

Institutions

Publication Details

Journal
Journal of Advances in Science and Technology
Published
2024-09-02
DOI
https://doi.org/10.29070/bq8ane93
Primary Topic
Distributed and Parallel Computing Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Analysis the Energy Consumption of Dynamic Task Offloading and Task Execution in MCC

Qaim Mehdi Rizbi, Vivek Kumar Shukla
Journal of Advances in Science and Technology
Distributed and Parallel Computing Systems
article

An Analysis the Energy Consumption of Dynamic Task Offloading and Task Execution in MCC

Qaim Mehdi Rizbi, Vivek Kumar Shukla
article en

Abstract

Cloud computing is a group of distributed computing resources that may run any application. MCC is the result of merging the cloud environment with mobile devices. computational offloading is carried out on the cloud in order to save the processing capacity of handheld devices. There will be a rise in computing as the number of sensors used increases, necessitating greater data analysis. Another problem with mobile environments is the power drain on batteries. One solution is to move the work to a remote location where it can be more efficiently executed. In this off-site setting, you'll find powerful cloud servers with plenty of processing capacity. One way that dense mobile apps were able to move their work to the cloud is through computational offload. why it's important to provide a proper explanation of the time constraint in wireless & distant environments, and how reaction time affects offloading for mobile devices & remote servers.

Journal of Advances in Science and TechnologyVol. 20(2)
Krishna University (IN)
Affordable and clean energy
Openalex Percentile: Top 84%
Distributed and Parallel Computing Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.