UM
Residential Collegefalse
Status即將出版Forthcoming
An In-depth Study of Microservice Call Graph and Runtime Performance
Luo, Shutian1; Xu, Huanle2; Lu, Chengzhi3; Ye, Kejiang4; Xu, Guoyao5; Zhang, Liping6; He, Jian6; Xu, Cheng Zhong7
2022-04
Source PublicationIEEE Transactions on Parallel and Distributed Systems
ISSN1045-9219
Volume33Issue:12Pages:3901-3914
Abstract

Loosely-coupled and light-weight microservices running in containers are replacing monolithic applications gradually. Understanding the characteristics of microservices is critical to make good use of microservice architectures. However, there is no comprehensive study about microservice and its related systems in production environments so far. In this paper, we present a solid analysis of large-scale deployments of microservices at Alibaba clusters. Our study focuses on the characterization of microservice dependency as well as its runtime performance. We conduct an in-depth anatomy of microservice call graphs to quantify the difference between them and traditional DAGs of data-parallel jobs. In particular, we observe that microservice call graphs are heavy-tail distributed and their topology is similar to a tree and moreover, many microservices are hot-spots. We also discover that the structure of call graph for long-term developed APPs is much simpler so as to provide better performance. Our investigation on microservice runtime performance indicates most microservices are much more sensitive to CPU interference than memory interference. Moreover, we design resource management policies to efficiently tune memory resources.

KeywordContainers Interference Memory Management Microservice Microservice Architectures Performance Characterization Production Runtime Topology Trace Analysis
DOI10.1109/TPDS.2022.3174631
URLView the original
Indexed BySSCI
Language英語English
WOS Research AreaComputer Science ; Engineering
WOS SubjectComputer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS IDWOS:000831139000010
Scopus ID2-s2.0-85132524603
Fulltext Access
Citation statistics
Cited Times [WOS]:1   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.Institute of Advanced Computing and Digital Engineering, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 85411 Shenzhen, Guangdong, China
2.Computer and Information Science, University of Macau, 59193 Taipa, Macau, Macao
3.Center for Cloud Computing Research, Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences, 85411 Shenzhen, Guangdong, China
4.Center for Cloud Computing Research, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, China, 518055
5.Alibaba Cloud, Alibaba Group, 518860 Hangzhou, Zhejiang, China
6.Cloud Resource Management, Alibaba Group, 518860 Hangzhou, Zhejiang, China
7.Faculty of Science and Technology, University of Macau, 59193 Taipa, Macau, China
Recommended Citation
GB/T 7714
Luo, Shutian,Xu, Huanle,Lu, Chengzhi,et al. An In-depth Study of Microservice Call Graph and Runtime Performance[J]. IEEE Transactions on Parallel and Distributed Systems,2022,33(12):3901-3914.
APA Luo, Shutian,Xu, Huanle,Lu, Chengzhi,Ye, Kejiang,Xu, Guoyao,Zhang, Liping,He, Jian,&Xu, Cheng Zhong.(2022).An In-depth Study of Microservice Call Graph and Runtime Performance.IEEE Transactions on Parallel and Distributed Systems,33(12),3901-3914.
MLA Luo, Shutian,et al."An In-depth Study of Microservice Call Graph and Runtime Performance".IEEE Transactions on Parallel and Distributed Systems 33.12(2022):3901-3914.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Luo, Shutian]'s Articles
[Xu, Huanle]'s Articles
[Lu, Chengzhi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Luo, Shutian]'s Articles
[Xu, Huanle]'s Articles
[Lu, Chengzhi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Luo, Shutian]'s Articles
[Xu, Huanle]'s Articles
[Lu, Chengzhi]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.