Reliable and efficient RAR-based distributed model training in computing power network

The computing power network (CPN) is a novel network technology that integrates computing power from the cloud, edge, and terminals using IP/optical cross-layer networks for distributed computing. CPNs can provide an effective solution for distributed model training (DMT). As a bandwidth optimizatio...

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Published in:Journal of optical communications and networking Vol. 16; no. 5; pp. 527 - 540
Main Authors: Chen, Ling, Li, Yajie, Natalino, Carlos, Li, Yongcheng, Zhang, Boxin, Fan, Yingbo, Wang, Wei, Zhao, Yongli, Zhang, Jie
Format: Journal Article
Language:English
Published: Piscataway Optica Publishing Group 01.05.2024
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:
Algorithms
Blocking
Cloud computing
Computer networks
Consumption
Distributed computing
Distributed processing
Integer linear programming
Integer programming
Linear programming
Network architecture
Optical communication
Optimization
Parallel processing
Performance measurement
Reliability
Scheduling
Survivability
Training
ISSN:1943-0620, 1943-0639, 1943-0639
Online Access:Get full text
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Summary:The computing power network (CPN) is a novel network technology that integrates computing power from the cloud, edge, and terminals using IP/optical cross-layer networks for distributed computing. CPNs can provide an effective solution for distributed model training (DMT). As a bandwidth optimization architecture based on data parallelism, ring all-reduce (RAR) is widely used in DMT. However, any node or link failure on the ring can interrupt or block the requests deployed on the ring. Meanwhile, due to the resource competition of batch RAR-based DMT requests, inappropriate scheduling strategies will also lead to low training efficiency or congestion. As far as we know, there is currently no research that considers the survivability of rings in scheduling strategies for RAR-based DMT. To fill this gap, we propose a scheduling scheme for RAR-based DMT requests in CPNs to optimize the allocation of computing and wavelength resources considering the time dimension while ensuring reliability. In practical scenarios, service providers may focus on different performance metrics. We formulate an integer linear programming (ILP) model and a RAR-based DMT deployment algorithm (RDDA) to solve this problem considering four optimization objectives under the premise of the minimum blocking rate: minimum computing resource consumption, minimum wavelength resource consumption, minimum training time, and maximum reliability. Simulation results demonstrate that our model satisfies the reliability requirements while achieving corresponding optimal performance for DMT requests under four optimization objectives.
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ISSN:1943-0620
1943-0639
1943-0639
DOI:10.1364/JOCN.511165