A Decentralized Edge Computing Latency-Aware Task Management Method With High Availability for IoT Applications
Rapid growth of Internet of Things (IoT), and other intelligent devices, introduced different applications which offer real-time latency features; however, it is difficult to handle the large volumes of data produced during the computational process, to adequately complete tasks. The decentralized e...
Main Authors: | Muhammad Bukhsh, Saima Abdullah, Imran Sarwar Bajwa |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2021-01-01
|
Series: | IEEE Access |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/9552858/ |
Similar Items
-
A Decentralized Latency-Aware Task Allocation and Group Formation Approach With Fault Tolerance for IoT Applications
by: Muhammad Mudassar, et al.
Published: (2020-01-01) -
Quantum Inspired Task Optimization for IoT Edge Fog Computing Environment
by: Tariq Ahamed Ahanger, et al.
Published: (2022-12-01) -
Performance Analysis of Edge Computing in IoT
by: Julius Skirelis, et al.
Published: (2020-02-01) -
Connectivity and Edge Computing in IoT : Customized Designs and AI-based Solutions /
by: Gao, Jie, 1985-, author 654028, et al.
Published: (2021) -
An Energy-Efficient Data Aggregation Mechanism for IoT Secured by Blockchain
by: Adeel Ahmed, et al.
Published: (2022-01-01)