An Incremental Scalable Network Architecture With Fault-Tolerant Communication

The design of interconnection network topologies significantly impacts the performance and reliability of parallel systems. Enhanced incremental scalability enables networks to expand with reduced hardware overhead. In practice, rather than always adding many nodes at once, a small number of nodes are occasionally added as needed. However, existing topologies struggle to achieve effective incremental scalability. To address this, we propose the incremental scalability exchanged hypercube (ISEH), a novel interconnection network for parallel computing. The significant advantages of ISEH include improved incremental scalability and interconnection flexibility, while maintaining low interconnection complexity. Its diameter remains unchanged as the network size increases linearly and does not exceed the diameter of the exchanged hypercube. First, we present the topological properties of ISEH, including isomorphism, incremental scalability, and diameter. Next, we design an efficient communication method for ISEH to ensure low communication overhead. To support reliable communication, we design algorithms to construct disjoint paths between any two distinct nodes. Furthermore, based on generalized exchanged <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</i>-cubes, we propose the incremental scalability generalized exchanged <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</i>-cubes, offering better incremental scalability. Finally, we compare the performance of ISEH with other interconnection networks and evaluate the proposed algorithms. The results demonstrate that ISEH achieves a favorable balance among incremental scalability, diameter, and flexibility compared to existing networks.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Reliability
Published
2025-04-23
DOI
https://doi.org/10.1109/tr.2025.3558921
Citations
1
Primary Topic
Distributed systems and fault tolerance
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An Incremental Scalable Network Architecture With Fault-Tolerant Communication

Shui Yu, Mengjie Lv, Weibei Fan, Xueli Sun et al.
1 citations
IEEE Transactions on Reliability
Distributed systems and fault tolerance
1.49
article

An Incremental Scalable Network Architecture With Fault-Tolerant Communication

Shui Yu, Mengjie Lv, Weibei Fan, Xueli Sun, Yao Pan
article en
1 citations

Abstract

The design of interconnection network topologies significantly impacts the performance and reliability of parallel systems. Enhanced incremental scalability enables networks to expand with reduced hardware overhead. In practice, rather than always adding many nodes at once, a small number of nodes are occasionally added as needed. However, existing topologies struggle to achieve effective incremental scalability. To address this, we propose the incremental scalability exchanged hypercube (ISEH), a novel interconnection network for parallel computing. The significant advantages of ISEH include improved incremental scalability and interconnection flexibility, while maintaining low interconnection complexity. Its diameter remains unchanged as the network size increases linearly and does not exceed the diameter of the exchanged hypercube. First, we present the topological properties of ISEH, including isomorphism, incremental scalability, and diameter. Next, we design an efficient communication method for ISEH to ensure low communication overhead. To support reliable communication, we design algorithms to construct disjoint paths between any two distinct nodes. Furthermore, based on generalized exchanged <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</i>-cubes, we propose the incremental scalability generalized exchanged <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">X</i>-cubes, offering better incremental scalability. Finally, we compare the performance of ISEH with other interconnection networks and evaluate the proposed algorithms. The results demonstrate that ISEH achieves a favorable balance among incremental scalability, diameter, and flexibility compared to existing networks.

IEEE Transactions on ReliabilityVol. 74(4)
University of Technology Sydney (AU), Nanjing University of Posts and Telecommunications (CN)
National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province, National Science Fund for Distinguished Young Scholars
Openalex Percentile: Top 18%
Distributed systems and fault tolerance
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.