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Abstract

Network interconnection critically impacts the performance of data centers (DCs) and high-performance computing (HPC) systems, with scalability becoming vital as computing demands grow. This necessitates interconnection architectures that meet stringent latency, bandwidth, cost, and power consumption requirements. Optical interconnections provide cost-efficiency, reduced power consumption, and scalability to fulfill bandwidth needs. However, optical switches lack optical buffers, complicating the operation of all optical networks. To this end, we propose HiveNet, a novel hybrid interconnect architecture based on dual-port nodes and arrayed waveguide grating routers (AWGRs). HiveNet integrates low-radix electrical switches at lower layers to reduce cable complexity and construction costs, while AWGR-based optical connections at upper layers ensure fast switching and high bandwidth. The dual-port capability enables robust fault tolerance and supports all communication types (node-switch and node-node). Furthermore, a customized routing algorithm significantly enhances performance. Simulations conducted under various traffic patterns demonstrate that HiveNet achieves controlled delay and superior aggregate throughput. For large-scale networks (with 104,976 nodes at 10 Gb/s), HiveNet reduces construction costs by 49.3%, 26.4%, 32.7%, 54.1%, and 59.3% compared to Fat-Tree, H-LION, Leaf-Spine, BCube, and Lotus, respectively. Additionally, HiveNet decreases power consumption by 34.8%, 48.2%, 29.8%, and 23.1% compared to Fat-Tree, BCube, Leaf-Spine, and Lotus, respectively.

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1009240
Business indexing term
Title
HiveNet: a high-performance, hybrid, and cost-effective architecture for data center networks
Author
AL-Makhlafi, Moeen 1   VIAFID ORCID Logo  ; Alsmadi, Mutasem K. 2 ; Almekhlafi, Eiad 3 ; Smadi, Ahmad AL 4 ; ALKannad, Abdulrahman A. 5 ; Wu, Fuhui 1 

 Wuhan College, School of Information Engineering, Wuhan, China (GRID:grid.502386.a) 
 Imam Abdulrahman Bin Faisal University, Department of MIS, College of Applied Studies and Community Service, Dammam, Saudi Arabia (GRID:grid.411975.f) (ISNI:0000 0004 0607 035X) 
 IBB University, Department of Computer Science and Information Technology, IBB, Yemen (GRID:grid.444909.4) 
 Al-Zaytoonah University, Department of Computer Science, Faculty of Science and Information Technology, Amman, Jordan (GRID:grid.443348.c) (ISNI:0000 0001 0244 5415) 
 Xidian University, Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education, School of Artificial Intelligence, Xi’an, China (GRID:grid.440736.2) (ISNI:0000 0001 0707 115X) 
Volume
37
Issue
10
Pages
360
Publication year
2025
Publication date
Dec 2025
Publisher
Springer Nature B.V.
Place of publication
Amsterdam
Country of publication
Netherlands
Publication subject
e-ISSN
13191578
Source type
Scholarly Journal
Language of publication
English
Document type
Journal Article
Publication history
 
 
Online publication date
2025-11-26
Milestone dates
2025-11-04 (Registration); 2025-07-24 (Received); 2025-11-03 (Accepted)
Publication history
 
 
   First posting date
26 Nov 2025
ProQuest document ID
3281923625
Document URL
https://www.proquest.com/scholarly-journals/hivenet-high-performance-hybrid-cost-effective/docview/3281923625/se-2?accountid=208611
Copyright
© The Author(s) 2025. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.
Last updated
2026-01-06
Database
ProQuest One Academic