Jade: Reducing Energy Consumption of Android App
The need for increased performance of mobile device directly conflicts with the desire for longer battery life. Offloading computation to multiple devices is an effective method to reduce energy consumption and enhance performance for mobile applications. Android provides mechanisms for creating mob...
Main Authors: | Hao Qian, Daniel Andresen |
---|---|
Format: | Article |
Language: | English |
Published: |
Springer
2015-08-01
|
Series: | International Journal of Networked and Distributed Computing (IJNDC) |
Subjects: | |
Online Access: | https://www.atlantis-press.com/article/25021.pdf |
Similar Items
-
Automate Scientific Workflow Execution between Local Cluster and Cloud
by: Hao Qian, et al.
Published: (2016-01-01) -
Interval grey number of energy consumption helps task offloading in the mobile environment
by: Yongsheng Hao, et al.
Published: (2023-06-01) -
Iterative Dynamic Critical Path Scheduling: An Efficient Technique for Offloading Task Graphs in Mobile Edge Computing
by: Bo Xu, et al.
Published: (2022-03-01) -
Competitive Partial Computation Offloading for Maximizing Energy Efficiency in Mobile Cloud Computing
by: Sanghong Ahn, et al.
Published: (2018-01-01) -
Multi-Connectivity Enhanced Communication-Incentive Distributed Computation Offloading in Vehicular Networks
by: Kangjie Zhang, et al.
Published: (2021-10-01)