.png){kind=icon}
返回
LBRO: Load Balancing for Resource Optimization in Edge Computing
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2022.3205741.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Mobile cloud computing and edge computing-based solutions provide means to offload tasks for resource-limited mobile devices. Mobile cloud computing provides remote cloud solutions while edge computing provides closer proximity-based solutions. Remote cloud solutions suffer from network latency and limited bandwidth challenges due to distance and dependency on the Internet. However, these challenges are addressed by edge-based solutions since the edge node is available in the same network. The use of Internet of Things-based solutions considering future Information Communication Technology infrastructure is on the rise resulting in the massive growth of digital equipment increasing the load at edge devices. Hence, some load balancing mechanism is required at the edge level to avoid resource congestion. The load balancing at the edge must consider the user's preferences about edge resources such as personal computers or mobile devices. A user must declare which resources can be spared for other devices to avoid overprovisioning essential resources. We present Load Balancing for Resource Optimization (LBRO), a collaborative cloudlet platform to address load balancing challenges in edge computing considering users' preferences. A comparative analysis of the proposed approach with the conventional edge-based approach yields that the proposed approach provides significantly improved results in terms of CPU, memory, and disk utilization.
Keyword:
Cloud computing
Mobile handsets
Edge computing
Load management
Edge computing
Bandwidth
Servers
Internet of Things
Mobile cloud computing
mobile edge computing
fog computing
cloudlet computing
Internet of things
cloud federation
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
.png){kind=icon}
The effect of multiple adverse childhood experiences on health: a systematic review and meta-analysis多种不良童年经历对健康的影响: 系统回顾和荟萃分析
OAAI
OAAI分享收藏ON THE COMPUTATION OFFLOADING AT AD HOC CLOUDLET: ARCHITECTURE AND SERVICE MODES关于临时CLOUDLET的计算卸载: 体系结构和服务模式
PREAI
分享收藏
查看更多内容