BSN-OCF: Businesses Sink Node-Oriented Cascading Failure Model in Microservice Applications

Thousands of service units interact through dependency chains in the Microservice Application (MA) to handle various business functions. As a result, microservice applications feature complex interaction structures. Furthermore, these service units are distributed across multiple devices in the network, making them highly susceptible to cascading failures from single points of failure. Considerable efforts have been made to address and mitigate the significant risks posed by cascading failures. However, as an emerging network architecture, microservices have not yet been fully studied in terms of cascading failure modeling specific to microservice applications. This paper leverages the characteristics of the MA and proposes the Business Sink Node-Oriented Cascading Failure (BSN-OCF) model. The model extracts the network and application layers to describe the MA and models the load and capacity of service units and physical devices. The concept of a business sink node is introduced to address the challenge of directly calculating load. Furthermore, the Assessment Method of Structural Loss (AMSL) is proposed to quantify the vulnerability of the MA. This method overcomes the limitations of previous approaches, which focused solely on the loss of topology. Experiments and results validate the effectiveness of the proposed model. This work provides a self-assessment method for the MA and offers valuable support for optimizing its deployment structure in the future.

Authors

Institutions

Publication Details

Published
2025-05-05
DOI
https://doi.org/10.1109/cscwd64889.2025.11033336
Primary Topic
Software System Performance and Reliability
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

BSN-OCF: Businesses Sink Node-Oriented Cascading Failure Model in Microservice Applications

Zhiwen Pan, Shuaizong Si, Jinfa Wang, Xiaofeng Zhang et al.
Software System Performance and Reliability
article

BSN-OCF: Businesses Sink Node-Oriented Cascading Failure Model in Microservice Applications

Zhiwen Pan, Shuaizong Si, Jinfa Wang, Xiaofeng Zhang, Limin Sun, Chunyang Zheng
article en

Abstract

Thousands of service units interact through dependency chains in the Microservice Application (MA) to handle various business functions. As a result, microservice applications feature complex interaction structures. Furthermore, these service units are distributed across multiple devices in the network, making them highly susceptible to cascading failures from single points of failure. Considerable efforts have been made to address and mitigate the significant risks posed by cascading failures. However, as an emerging network architecture, microservices have not yet been fully studied in terms of cascading failure modeling specific to microservice applications. This paper leverages the characteristics of the MA and proposes the Business Sink Node-Oriented Cascading Failure (BSN-OCF) model. The model extracts the network and application layers to describe the MA and models the load and capacity of service units and physical devices. The concept of a business sink node is introduced to address the challenge of directly calculating load. Furthermore, the Assessment Method of Structural Loss (AMSL) is proposed to quantify the vulnerability of the MA. This method overcomes the limitations of previous approaches, which focused solely on the loss of topology. Experiments and results validate the effectiveness of the proposed model. This work provides a self-assessment method for the MA and offers valuable support for optimizing its deployment structure in the future.

Chinese Academy of Sciences (CN), Institute of Information Engineering (CN)
Decent work and economic growth
Openalex Percentile: Top 85%
Software System Performance and Reliability
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.