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Efficient Online Computing Offloading for Budget- Constrained Cloud-Edge Collaborative Video Streaming Systems

delete2024-01-01
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PRE
AI
Y
Yuxin Liu
Song Guo 封面图
Song Guo (Song Guo) *
李
李洁 (Jie Li) *
H
Hongyang Chen
吴
吴晨涛 (Chentao Wu)
杨阳 封面图
杨阳 (Yang Yang)
DOI:10.1109/TCC.2024.3524310delete
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摘要

摘要

En 中文
Cloud-Edge Collaborative Architecture (CEA) is a prominent framework that provides low-latency and energy-efficient solutions for video stream processing. In Cloud-Edge Collaborative Video Streaming Systems (CEAVS), efficient online offloading strategies for video tasks are crucial for enhancing user experience. However, most existing works overlook budget constraints, which limits their applicability in real-world scenarios constrained by finite resources. Moreover, they fail to adequately address the heterogeneity of video task redundancies, leading to suboptimal utilization of CEAVS's limited resources. To bridge these gaps, we propose an Efficient Online Computing framework for CEAVS (EOCA) that jointly optimizes accuracy, energy consumption, and latency performance through adaptive online offloading and redundancy compression, without requiring future task information. Technically, we formulate computing offloading and adaptive compression under budget constraints as a stochastic optimization problem that maximizes system satisfaction, defined as a weighted combination of accuracy, latency, and energy performance. We employ Lyapunov optimization to decouple the long-term budget constraint. We prove that the decoupled problem is a generalized ordinal potential game and propose algorithms based on generalized Benders decomposition (GBD) and the best response to obtain Nash equilibrium strategies for computing offloading and task compression. Finally, we analyze EOCA's performance bound, convergence rate, and worst-case performance guarantees. Evaluations demonstrate that EOCA effectively improves satisfaction while effectively balancing satisfaction and computational overhead.
Keyword:
Cloud computing
Streaming media
Optimization
Accuracy
Energy consumption
Computational modeling
Wireless communication
Termination of employment
Spatiotemporal phenomena
Serverless computing
Budget constraint
cloud-edge collaborative
online computing offloading
potential game

期刊

I
IEEE Transactions on Cloud Computing
IF:
5
论文数:
1.9K
被引数:
4.3K

机构

S
shanghai jiao tong university
学者数:
15.7W
论文数: 11.7W
被引数: 159
H
Hong Kong University of Science and Technology (Guangzhou)
学者数:
1.0K
论文数: 866
被引数: 1
P
Peng Cheng Laboratory
学者数:
1.7K
论文数: 1.8K
被引数: 2.0K
Z
Zhejiang Laboratory
学者数:
1.8K
论文数: 1.7K
被引数: 0
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