Energy Aware Mobile Cloud Computing Algorithm for Android Smartphones

Said, Samar A.; Salem, Sameh A.; Sayed, Samir G.

doi:10.1007/978-3-319-64861-3_58

Search citation statements

Order By: Relevance

Paper Sections

Select...

Other1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2019

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Computation offloading is a process that migrates very huge computations from a mobile device to the unlimited resources of cloud, or server (called nearby infrastructure). Offloading the heavy computations to the cloud decreases the power consumption of mobile batteries, improves the applications performance, and executes mobile applications that are unable to execute due to insufficient resources [9][10][11][12]. Furthermore, cloud gives storage services that could be used to overwhelm the storage limitations of the mobile devices.…”

Section: Fig 2: Proposed Architecture Of the Assistive Drive System mentioning

confidence: 99%

Optimal Assistive Drive System using Mobile Cloud Computing

Sameh¹

2019

IJCA

View full text Add to dashboard Cite

No one can deny that mobile devices are increasingly becoming an essential part of our lives, and being used for information delivery, access and communication. In this paper, a novel assistive drive system with mobile offloading is proposed. Three effective measures are integrated for reliable and early drowsiness detection, namely behavioral, vehicle, and physiological measures. These measures give higher quality and relevant information. Additionally, the proposed system uses mobile devices to process readings. However, with huge amount of data and intensive computations, mobiles cannot deliver results in reasonable times. A possible approach is to offload computations onto the cloud.

show abstract

Section: Fig 2: Proposed Architecture Of the Assistive Drive System mentioning

confidence: 99%

Optimal Assistive Drive System using Mobile Cloud Computing

Sameh¹

2019

IJCA

View full text Add to dashboard Cite

show abstract

Energy Aware Mobile Cloud Computing Algorithm for Android Smartphones

Cited by 1 publication

References 12 publications

Optimal Assistive Drive System using Mobile Cloud Computing

Optimal Assistive Drive System using Mobile Cloud Computing

Contact Info

Product

Resources

About