Advances in Full-Link Stress Testing Technology for Cloud-Native Information System

Amidst the ongoing digital transformation, enterprises are progressively adopting microservice architectures to achieve greater flexibility and resilience. Nevertheless, this shift introduces considerable complexity to system testing. This paper presents a comprehensive review of full-link stress testing, a methodology designed to evaluate system performance boundaries within production environments, utilizing production-grade business data and realistic traffic simulations. We begin by discussing the major limitations of traditional stress testing methods, particularly regarding environmental discrepancies, cost efficiency, and risk management. Following this, we examine a typical implementation framework for full-link stress testing, detailing phases from initial planning and monitoring to post-test analysis, ensuring rigorous and accurate evaluation. Key technical challenges, such as test environment adaptation, automated link management, and data preprocessing, are analyzed, with tailored solutions summarized for each. Finally, we explore the growing role of full-link stress testing in enhancing enterprise performance optimization and business continuity, underscoring its significance in supporting scalable and resilient architectures amid digital transformation.

Authors

Institutions

Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/iciba62489.2024.10868076
Primary Topic
VLSI and Analog Circuit Testing
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Advances in Full-Link Stress Testing Technology for Cloud-Native Information System

Lingjia Lao, Meng Yang, Congfeng Jiang, Wei Tang et al.
VLSI and Analog Circuit Testing
article

Advances in Full-Link Stress Testing Technology for Cloud-Native Information System

Lingjia Lao, Meng Yang, Congfeng Jiang, Wei Tang, Xiaolong Li, Shi‐Jie Chen, Yonghe Guo, Junming Liu
article en

Abstract

Amidst the ongoing digital transformation, enterprises are progressively adopting microservice architectures to achieve greater flexibility and resilience. Nevertheless, this shift introduces considerable complexity to system testing. This paper presents a comprehensive review of full-link stress testing, a methodology designed to evaluate system performance boundaries within production environments, utilizing production-grade business data and realistic traffic simulations. We begin by discussing the major limitations of traditional stress testing methods, particularly regarding environmental discrepancies, cost efficiency, and risk management. Following this, we examine a typical implementation framework for full-link stress testing, detailing phases from initial planning and monitoring to post-test analysis, ensuring rigorous and accurate evaluation. Key technical challenges, such as test environment adaptation, automated link management, and data preprocessing, are analyzed, with tailored solutions summarized for each. Finally, we explore the growing role of full-link stress testing in enhancing enterprise performance optimization and business continuity, underscoring its significance in supporting scalable and resilient architectures amid digital transformation.

State Grid Corporation of China (China) (CN), Hangzhou Dianzi University (CN)
Openalex Percentile: Top 70%
VLSI and Analog Circuit Testing
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.

Advances in Full-Link Stress Testing Technology for Cloud-Native Information System — Lingjia Lao, Meng Yang, et al. · (2024) | TGRS Research Map | TGRS