Papers Papers/2020



Paper Unlock

Authors: Nane Kratzke and Peter-Christian Quint

Affiliation: Lübeck University of Applied Sciences, Germany

ISBN: 978-989-758-182-3

ISSN: 2184-5042

Keyword(s): Microservice, Container, Docker, Cluster, Network, Performance, Reference, Benchmark, REST, SDN.

Related Ontology Subjects/Areas/Topics: Cloud Applications Performance and Monitoring ; Cloud Computing ; Cloud Computing Enabling Technology ; Collaboration and e-Services ; Data Engineering ; Development Methods for Cloud Applications ; e-Business ; Enterprise Information Systems ; Mobile Software and Services ; Ontologies and the Semantic Web ; Performance Development and Management ; Platforms and Applications ; Services Science ; Software Agents and Internet Computing ; Software Engineering ; Software Engineering Methods and Techniques ; Telecommunications ; Web Services ; Wireless Information Networks and Systems

Abstract: Companies like Netflix, Google, Amazon, Twitter successfully exemplified elastic and scalable microservice architectures for very large systems. Microservice architectures are often realized in a way to deploy services as containers on container clusters. Containerized microservices often use lightweight and REST-based mechanisms. However, this lightweight communication is often routed by container clusters through heavyweight software defined networks (SDN). Services are often implemented in different programming languages adding additional complexity to a system, which might end in decreased performance. Astonishingly it is quite complex to figure out these impacts in the upfront of a microservice design process due to missing and specialized benchmarks. This contribution proposes a benchmark intentionally designed for this microservice setting. We advocate that it is more useful to reflect fundamental design decisions and their performance impacts in the upfront of a microservice a rchitecture development and not in the aftermath. We present some findings regarding performance impacts of some TIOBE TOP 50 programming languages (Go, Java, Ruby, Dart), containers (Docker as type representative) and SDN solutions (Weave as type representative). (More)


Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Kratzke, N. and Quint, P. (2016). ppbench - A Visualizing Network Benchmark for Microservices. In Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER, ISBN 978-989-758-182-3; ISSN 2184-5042, pages 223-231. DOI: 10.5220/0005732202230231

author={Nane Kratzke. and Peter{-}Christian Quint.},
title={ppbench - A Visualizing Network Benchmark for Microservices},
booktitle={Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER,},


JO - Proceedings of the 6th International Conference on Cloud Computing and Services Science - Volume 2: CLOSER,
TI - ppbench - A Visualizing Network Benchmark for Microservices
SN - 978-989-758-182-3
IS - 2184-5042
AU - Kratzke, N.
AU - Quint, P.
PY - 2016
SP - 223
EP - 231
DO - 10.5220/0005732202230231

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.