HiveNet: a high-performance, hybrid, and cost-effective architecture for data center networks

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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Publication Details

Journal
Journal of King Saud University - Computer and Information Sciences
Published
2025-11-26
DOI
https://doi.org/10.1007/s44443-025-00377-9
Primary Topic
Cloud Computing and Resource Management
Type
article
Field-Weighted Citation Impact
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article

HiveNet: a high-performance, hybrid, and cost-effective architecture for data center networks

Moeen AL-Makhlafi, Ahmad Al Smadi, Fuhui Wu, Eiad Almekhlafi et al.
Journal of King Saud University - Computer and Information Sciences
Cloud Computing and Resource Management
article

HiveNet: a high-performance, hybrid, and cost-effective architecture for data center networks

Moeen AL-Makhlafi, Ahmad Al Smadi, Fuhui Wu, Eiad Almekhlafi, Mutasem K. Alsmadi, Abdulrahman A. ALKannad
article en

Abstract

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.

Journal of King Saud University - Computer and Information SciencesVol. 37(10)
Al-Zaytoonah University of Jordan (JO), Xidian University (CN), Wuhan College (CN), Imam Abdulrahman Bin Faisal University (SA), Ibb University (YE)
Openalex Percentile: Top 50%
Cloud Computing and Resource Management
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