RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds-Reference-Cited by-同舟云学术

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RFID: Towards Low Latency and Reliable DAG Task Scheduling Over Dynamic Vehicular Clouds

Published:2023-09 Issue:9 Volume:72 Page:12139-12153
ISSN:0018-9545
Container-title:IEEE Transactions on Vehicular Technology
language:
Short-container-title:IEEE Trans. Veh. Technol.

Author:

Liu Zhang¹^ORCID,Liwang Minghui¹^ORCID,Hosseinalipour Seyyedali²^ORCID,Dai Huaiyu³^ORCID,Gao Zhibin⁴^ORCID,Huang Lianfen¹^ORCID

Affiliation:

1. Department of Informatics and Communication Engineering, Xiamen University, Xiamen, Fujian, China

2. Department of Electrical Engineering, University at Buffalo, Buffalo, NY, USA

3. Department of Electrical and Computer Engineering, North Carolina State University, Raleigh, NC, USA

4. Navigation Institute, Jimei University, Xiamen, Fujian, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Xiamen

Key Science and Technology Project of Fujian Province

Xiamen Major science and Technology

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/25/10254672/10100891.pdf?arnumber=10100891

Reference39 articles.

1. List Scheduling Algorithm for Heterogeneous Systems by an Optimistic Cost Table

2. Contact-Aware Optimal Resource Allocation for Mobile Data Offloading in Opportunistic Vehicular Networks

3. A compile-time scheduling heuristic for interconnection-constrained heterogeneous processor architectures

4. Energy-aware Allocation of Graph Jobs in Vehicular Cloud Computing-enabled Software-defined IoV

5. Genetic Algorithm Based Scheduler for Computational Grids

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2. Scalable Heterogeneous Scheduling Based Model Parallelism for Real-Time Inference of Large-Scale Deep Neural Networks;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-08

3. Energy-Constrained DAG Scheduling on Edge and Cloud Servers with Overlapped Communication and Computation;Journal of Grid Computing;2024-07-02

4. Real-Time and Low-Overhead Graph Task Scheduling over Vehicular Computing-Assisted Edge Networks;ICC 2024 - IEEE International Conference on Communications;2024-06-09

5. A dynamic weight–assignment load balancing approach for workflow scheduling in edge-cloud computing using ameliorated moth flame and rock hyrax optimization algorithms;Future Generation Computer Systems;2024-06

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