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.
Authors
- Moeen AL-Makhlafi (ORCID: https://orcid.org/0000-0002-5248-3046)
- Ahmad Al Smadi (ORCID: https://orcid.org/0000-0003-3487-8041)
- Fuhui Wu (ORCID: https://orcid.org/0009-0003-8822-7057)
- Eiad Almekhlafi (ORCID: https://orcid.org/0000-0002-7182-9639)
- Mutasem K. Alsmadi
- Abdulrahman A. ALKannad (ORCID: https://orcid.org/0009-0008-2049-7196)
Institutions
- Al-Zaytoonah University of Jordan (JO)
- Xidian University (CN)
- Wuhan College (CN)
- Imam Abdulrahman Bin Faisal University (SA)
- Ibb University (YE)
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
- 0.00