2022
DOI: 10.1002/dac.5378
|View full text |Cite
|
Sign up to set email alerts
|

A novel data size‐aware offloading technique for resource provisioning in mobile cloud computing

Abstract: Mobile device users are involved in social networking, gaming, learning, and even some office work, so the end users expect mobile devices with highresponse computing capacities, storage, and high battery power consumption. The data-intensive applications, such as text search, online gaming, and face recognition usage, have tremendously increased. With such high complex applications, there are many issues in mobile devices, namely, fast battery draining, limited power, low storage capacity, and increased energ… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
2
1

Relationship

0
3

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 39 publications
0
2
0
Order By: Relevance
“…In this section, the authors work on three main components for implementation, i.e., the Mobile Application User Layer, the Mobile Cloud Layer to manage resources, and the Mobile Agent Layer to offload the selected tasks through the machine learning engine [38]. The authors design all these through the Agent Console REST Application Programming Interface (API) [39].…”
Section: System Implementationmentioning
confidence: 99%
“…In this section, the authors work on three main components for implementation, i.e., the Mobile Application User Layer, the Mobile Cloud Layer to manage resources, and the Mobile Agent Layer to offload the selected tasks through the machine learning engine [38]. The authors design all these through the Agent Console REST Application Programming Interface (API) [39].…”
Section: System Implementationmentioning
confidence: 99%
“…Constrained by the size and battery capacity, the IoT terminal devices' computing resources and storage capabilities are limited. To this end, some solutions [24][25][26] that offload computational tasks to edge or clouds for execution have been well investigated. Although promising, it will fail in remote regions due to the lack of edge or cloud nodes.…”
Section: Task Offloading In Satellite-terrestrial Cooperative Networkmentioning
confidence: 99%