.png){kind=icon}
返回
Latency-Aware Horizontal Computation Offloading for Parallel Processing in Fog-Enabled IoT
.png){kind=icon}
PRE
AI
DOI：10.1109/JSYST.2021.3085566.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In this article, we propose a two-step distributed horizontal architecture for computation offloading in a fog-enabled Internet of Things environment-HD-Fog-to minimize the overall energy consumption, and latency while executing hard real-time applications. HD stands for the horizontal distribution of the tasks in the fog layer. Each sensor in the user devices independently captures data of varying formats. Parallel execution on these data is possible based on its directed acyclic task graph (DATG), and the corresponding results facilitate the ease of decision-making. Toward this, in HD-Fog, the sensor nodes in user devices offload their tasks to a nearby fog node based on a greedy selection criterion. This fog node then further offloads the smaller subtasks, based on the DATG, among other fog nodes for parallel execution. Through extensive real-life metric-based emulation and comparison against traditional Fog and Cloud computing schemes, we observe that our approach 1) reduces the overall operational delays by 29% and 96%, and 2) offers promising speedup values. The proposed HD-Fog scheme also indicates a reduction in energy consumption by 30% compared to traditional fog computing schemes.
Keyword:
Task analysis
Reliability
Real-time systems
Computer architecture
Optimization
Internet of Things
Delays
Computation offloading
distributed and parallel computing
Fog computing
Internet of Things (IoT)
queueing theory
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:
2.4
论文数:
4.5K
被引数:
387
机构
引用论文
.png){kind=icon}
Hierarchical Fog-Cloud Computing for IoT Systems: A Computation Offloading Game物联网系统的分层雾云计算: 计算卸载游戏
OAAI
OAAI分享收藏
查看更多内容