A task processing efficiency improvement scheme based on Cloud-Edge architecture in computationally intensive scenarios-Reference-Cited by-同舟云学术

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A task processing efficiency improvement scheme based on Cloud-Edge architecture in computationally intensive scenarios

Published:2023-11 Issue: Volume:181 Page:104742
ISSN:0743-7315
Container-title:Journal of Parallel and Distributed Computing
language:en
Short-container-title:Journal of Parallel and Distributed Computing

Author:

Feng Jiahui,Qi Jingze,Liu Yuanning,Dong Liyan,Liu Zhen

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Program for Jilin University Science and Technology Innovative Research Team

Natural Science Foundation of Jilin Province

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Networks and Communications,Hardware and Architecture,Theoretical Computer Science,Software

Reference45 articles.

1. Response time and energy consumption co-offloading with SLRTA algorithm in Cloud-Edge collaborative computing;Tong;Future Gener. Comput. Syst.,2022

2. An effective face recognition system based on Cloud based IoT with a deep learning model;Chauhan;Microprocess. Microsyst.,2021

3. Time-dependent cloud workload forecasting via multi-task learning;Bi;IEEE Robot. Autom. Lett.,2019

4. Privacy-preserving and verifiable SRC-based face recognition with cloud/edge server assistance;Sun;Comput. Secur.,2022

5. Energy-efficient real-time heart monitoring on edge–fog–cloud Internet of medical things;Demirel;IEEE Int. Things J.,2022

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