Abstract
Microservice architecture (MSA) is an emerging software architectural style, which differs fundamentally from the monolithic, layered architecture. MSA is based on microservices to provide several advantages, such as autonomy, composability, scalability, and fault-tolerance. However, how to manage complex 'call' relationships between microservices is still a big issue that needs to be addressed. In this paper, we propose an approach for assisting the development of MSA-based systems, referred to as GMAT (Graph-based Microservice Analysis and Testing). GMAT can automatically generate 'Service Dependency Graph (SDG)' to analyze and visualize the dependency relationships between microservices. Using GMAT, people are able to detect anomalies by analyzing risky service invocation chains in early stage of development, and trace the linkages between services when developing a new version of a target system. Experiments show that GMAT is able to work well for both small-scale and large-scale MSA-based systems.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018 |
| Editors | Claudio Demartini, Sorel Reisman, Ling Liu, Edmundo Tovar, Hiroki Takakura, Ji-Jiang Yang, Chung-Horng Lung, Sheikh Iqbal Ahamed, Kamrul Hasan, Thomas Conte, Motonori Nakamura, Zhiyong Zhang, Toyokazu Akiyama, William Claycomb, Stelvio Cimato |
| Publisher | IEEE Computer Society |
| Pages | 81-86 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781538626665 |
| DOIs | |
| Publication status | Published - 2018 Jun 8 |
| Event | 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 - Tokyo, Japan Duration: 2018 Jul 23 → 2018 Jul 27 |
Publication series
| Name | Proceedings - International Computer Software and Applications Conference |
|---|---|
| Volume | 2 |
| ISSN (Print) | 0730-3157 |
Other
| Other | 42nd IEEE Computer Software and Applications Conference, COMPSAC 2018 |
|---|---|
| Country | Japan |
| City | Tokyo |
| Period | 18-07-23 → 18-07-27 |
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All Science Journal Classification (ASJC) codes
- Software
- Computer Science Applications
Cite this
}
Using Service Dependency Graph to Analyze and Test Microservices. / Ma, Shang Pin; Fan, Chen Yuan; Chuang, Yen; Lee, Wen Tin; Lee, Shin-Jie; Hsueh, Nien Lin.
Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018. ed. / Claudio Demartini; Sorel Reisman; Ling Liu; Edmundo Tovar; Hiroki Takakura; Ji-Jiang Yang; Chung-Horng Lung; Sheikh Iqbal Ahamed; Kamrul Hasan; Thomas Conte; Motonori Nakamura; Zhiyong Zhang; Toyokazu Akiyama; William Claycomb; Stelvio Cimato. IEEE Computer Society, 2018. p. 81-86 8377834 (Proceedings - International Computer Software and Applications Conference; Vol. 2).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Using Service Dependency Graph to Analyze and Test Microservices
AU - Ma, Shang Pin
AU - Fan, Chen Yuan
AU - Chuang, Yen
AU - Lee, Wen Tin
AU - Lee, Shin-Jie
AU - Hsueh, Nien Lin
PY - 2018/6/8
Y1 - 2018/6/8
N2 - Microservice architecture (MSA) is an emerging software architectural style, which differs fundamentally from the monolithic, layered architecture. MSA is based on microservices to provide several advantages, such as autonomy, composability, scalability, and fault-tolerance. However, how to manage complex 'call' relationships between microservices is still a big issue that needs to be addressed. In this paper, we propose an approach for assisting the development of MSA-based systems, referred to as GMAT (Graph-based Microservice Analysis and Testing). GMAT can automatically generate 'Service Dependency Graph (SDG)' to analyze and visualize the dependency relationships between microservices. Using GMAT, people are able to detect anomalies by analyzing risky service invocation chains in early stage of development, and trace the linkages between services when developing a new version of a target system. Experiments show that GMAT is able to work well for both small-scale and large-scale MSA-based systems.
AB - Microservice architecture (MSA) is an emerging software architectural style, which differs fundamentally from the monolithic, layered architecture. MSA is based on microservices to provide several advantages, such as autonomy, composability, scalability, and fault-tolerance. However, how to manage complex 'call' relationships between microservices is still a big issue that needs to be addressed. In this paper, we propose an approach for assisting the development of MSA-based systems, referred to as GMAT (Graph-based Microservice Analysis and Testing). GMAT can automatically generate 'Service Dependency Graph (SDG)' to analyze and visualize the dependency relationships between microservices. Using GMAT, people are able to detect anomalies by analyzing risky service invocation chains in early stage of development, and trace the linkages between services when developing a new version of a target system. Experiments show that GMAT is able to work well for both small-scale and large-scale MSA-based systems.
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UR - http://www.scopus.com/inward/citedby.url?scp=85055577947&partnerID=8YFLogxK
U2 - 10.1109/COMPSAC.2018.10207
DO - 10.1109/COMPSAC.2018.10207
M3 - Conference contribution
AN - SCOPUS:85055577947
T3 - Proceedings - International Computer Software and Applications Conference
SP - 81
EP - 86
BT - Proceedings - 2018 IEEE 42nd Annual Computer Software and Applications Conference, COMPSAC 2018
A2 - Demartini, Claudio
A2 - Reisman, Sorel
A2 - Liu, Ling
A2 - Tovar, Edmundo
A2 - Takakura, Hiroki
A2 - Yang, Ji-Jiang
A2 - Lung, Chung-Horng
A2 - Ahamed, Sheikh Iqbal
A2 - Hasan, Kamrul
A2 - Conte, Thomas
A2 - Nakamura, Motonori
A2 - Zhang, Zhiyong
A2 - Akiyama, Toyokazu
A2 - Claycomb, William
A2 - Cimato, Stelvio
PB - IEEE Computer Society
ER -