.png){kind=icon}
返回
Computing with Nearby Mobile Devices: A Work Sharing Algorithm for Mobile Edge-Clouds
.png){kind=icon}
PRE
AI
DOI：10.1109/TCC.2016.2560163.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As mobile devices evolve to be powerful and pervasive computing tools, their usage also continues to increase rapidly. However, mobile device users frequently experience problems when running intensive applications on the device itself, or offloading to remote clouds, due to resource shortage and connectivity issues. Ironically, most users' environments are saturated with devices with significant computational resources. This paper argues that nearby mobile devices can efficiently be utilised as a crowd-powered resource cloud to complement the remote clouds. Node heterogeneity, unknown worker capability, and dynamism are identified as essential challenges to be addressed when scheduling work among nearby mobile devices. We present a work-sharing model, called Honeybee, using an adaptation of the well-known work stealing method to load balance independent jobs among heterogeneous mobile nodes, able to accommodate nodes randomly leaving and joining the system. The overall strategy of Honeybee is to focus on short-term goals, taking advantage of opportunities as they arise, based on the concepts of proactive workers and opportunistic delegator. We evaluate our model using a prototype framework built using Android and implement two applications. We report speedups of up to four with seven devices and energy savings up to 71 percent witheight devices.
Keyword:
Mobile edge-clouds
crowdsourcing
mobile crowd computing
offloading
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
I
IF:
5
论文数:
1.8K
被引数:
4.3K
机构
引用论文
Mesoporous carbon nitride as a basic catalyst in dehydrochlorination of 1,1,2-trichloroethane into 1,1-dichloroethene.png)
RSC Advances
RSC AdvancesIF0
PREAI
分享收藏
Energy-efficient job stealing for CPU-intensive processing in mobile devices移动设备中CPU密集型处理的高能效作业窃取COMPUTING
COMPUTINGIF2.8
PREAI
分享收藏Physicochemical Properties of ZnSO4−H2SO4−H2O Electrolytes of Relevance to Zinc ElectrowinningZnSO4-h 2SO4-h 2O与锌电积相关电解质的理化性质
PREAI
分享收藏分享收藏
查看更多内容