2020
DOI: 10.1002/spe.2850
|View full text |Cite
|
Sign up to set email alerts
|

EFFORT: Energy efficient framework for offload communication in mobile cloud computing

Abstract: Summary There is an abundant expansion in the race of technology, specifically in the production of data, because of the smart devices, such as mobile phones, smart cards, sensors, and Internet of Things (IoT). Smart phones and devices have undergone an enormous evolution in a way that they can be used. More and more new applications, such as face recognition, augmented reality, online interactive gaming, and natural language processing are emerging and attracting the users. Such applications are generally dat… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
3
1
1

Citation Types

0
22
0

Year Published

2020
2020
2024
2024

Publication Types

Select...
6
1

Relationship

3
4

Authors

Journals

citations
Cited by 33 publications
(22 citation statements)
references
References 28 publications
(38 reference statements)
0
22
0
Order By: Relevance
“…There is a need to run the cloud data centers continually to deliver the cloud service in a proficient way, which uses enormous volume of energy for computation and cooling [30][31].…”
Section: Energy Efficiency and Sustainabilitymentioning
confidence: 99%
“…There is a need to run the cloud data centers continually to deliver the cloud service in a proficient way, which uses enormous volume of energy for computation and cooling [30][31].…”
Section: Energy Efficiency and Sustainabilitymentioning
confidence: 99%
“…Communication in mobile cloud computing” 5 proposes a task offloading mechanism from mobile to the remote cloud. The author's solution aims to solve the energy consumption of communication‐intensive applications from mobile devices such as smartphones.…”
Section: A Summary Of the Contributionsmentioning
confidence: 99%
“…Edge computing is considered as a vital technology enabler in providing time- dependent or delay-critical healthcare services, specifically in the case of emergencies, real-time patient monitoring (intensive care unit (ICU) patients), and for faster data analysis of patients with conditions requiring fast medical response or contiguous diseases [ 13 , 14 ]. This brings computational and processing resources near to the end-users and devices to perform necessary real-time data analysis and decision-making functions and to improve resource-efficiency by reducing the amount of data transferred between the end systems and centralized cloud servers [ 15 , 16 ].…”
Section: Introductionmentioning
confidence: 99%