Low Latency Deployment of Service-based Data-intensive Applications in Cloud-Edge Environment

Author:

Jia Jingtan1,Wang Pengwei1

Affiliation:

1. Donghua University,School of Computer Science and Technology,Shanghai,China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for the Central Universities

Publisher

IEEE

Reference33 articles.

1. Joint Task Offloading and Resource Allocation for Multi-Server Mobile-Edge Computing Networks

2. Temperature matrix-based data placement using improved hungarian algorithm in edge computing environments;zhao;the 22nd International Conference on Parallel and Distributed Computing Applications and Technologies,2021

3. Efficient placement of multi-component applications in edge computing systems

4. Redundant virtual machine placement in mobile edge computing;gao;International Conference on Blockchain and Trustworthy Systems,2019

5. Cost-Effective App Data Distribution in Edge Computing

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1. Energy-Efficient Online Service Migration in Edge Networks;IEEE Internet of Things Journal;2024-09-15

2. A Budget-constrained Service Deployment Strategy based on Cost Allocation in Cloud-Edge Environment;2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS);2023-12-17

3. Towards Timely Edge-assisted Video Analytics Services;2023 IEEE International Conference on Web Services (ICWS);2023-07

4. TEMPERATURE MATRIX-BASED DATA PLACEMENT OPTIMIZATION IN EDGE COMPUTING ENVIRONMENT;COMPUT INFORM;2022

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