Details
| Original language | English |
|---|---|
| Title of host publication | ICPE 2023 - Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering |
| Pages | 207-220 |
| Number of pages | 14 |
| ISBN (electronic) | 9798400700682 |
| Publication status | Published - 15 Apr 2023 |
| Event | 14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023 - Coimbra, Portugal Duration: 15 Apr 2023 → 19 Apr 2023 |
Abstract
Widely used in datacenters and clouds, network traffic shaping is a performance influencing factor that is often overlooked when benchmarking or simply deploying distributed applications. While in theory traffic shaping should allow for a fairer sharing of network resources, in practice it also introduces new problems: performance (measurement) inconsistency and long tails. In this paper we investigate the effects of traffic shaping mechanisms on common distributed applications. We characterize the performance of a distributed key-value store, big data workloads, and high-performance computing under state-of-the-art benchmarks, while the underlying network's traffic is shaped using state-of-the-art mechanisms such as token-buckets or priority queues. Our results show that the impact of traffic shaping needs to be taken into account when benchmarking or deploying distributed applications. To help researchers, practitioners, and application developers we uncover several practical implications and make recommendations on how certain applications are to be deployed so that performance is least impacted by the shaping protocols.
Keywords
- networked application performance, traffic shaping
ASJC Scopus subject areas
- Computer Science(all)
- Computer Science Applications
- Computer Science(all)
- Hardware and Architecture
- Computer Science(all)
- Software
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ICPE 2023 - Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering. 2023. p. 207-220.
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - The Performance of Distributed Applications
T2 - 14th Annual ACM/SPEC International Conference on Performance Engineering, ICPE 2023
AU - Hasenoot, Jasper A.
AU - Rellermeyer, Jan S.
AU - Uta, Alexandru
N1 - Funding Information: The work in this article was in part supported by The Dutch National Science Foundation NWO Veni grant VI.202.195.
PY - 2023/4/15
Y1 - 2023/4/15
N2 - Widely used in datacenters and clouds, network traffic shaping is a performance influencing factor that is often overlooked when benchmarking or simply deploying distributed applications. While in theory traffic shaping should allow for a fairer sharing of network resources, in practice it also introduces new problems: performance (measurement) inconsistency and long tails. In this paper we investigate the effects of traffic shaping mechanisms on common distributed applications. We characterize the performance of a distributed key-value store, big data workloads, and high-performance computing under state-of-the-art benchmarks, while the underlying network's traffic is shaped using state-of-the-art mechanisms such as token-buckets or priority queues. Our results show that the impact of traffic shaping needs to be taken into account when benchmarking or deploying distributed applications. To help researchers, practitioners, and application developers we uncover several practical implications and make recommendations on how certain applications are to be deployed so that performance is least impacted by the shaping protocols.
AB - Widely used in datacenters and clouds, network traffic shaping is a performance influencing factor that is often overlooked when benchmarking or simply deploying distributed applications. While in theory traffic shaping should allow for a fairer sharing of network resources, in practice it also introduces new problems: performance (measurement) inconsistency and long tails. In this paper we investigate the effects of traffic shaping mechanisms on common distributed applications. We characterize the performance of a distributed key-value store, big data workloads, and high-performance computing under state-of-the-art benchmarks, while the underlying network's traffic is shaped using state-of-the-art mechanisms such as token-buckets or priority queues. Our results show that the impact of traffic shaping needs to be taken into account when benchmarking or deploying distributed applications. To help researchers, practitioners, and application developers we uncover several practical implications and make recommendations on how certain applications are to be deployed so that performance is least impacted by the shaping protocols.
KW - networked application performance
KW - traffic shaping
UR - http://www.scopus.com/inward/record.url?scp=85158152350&partnerID=8YFLogxK
U2 - 10.1145/3578244.3583733
DO - 10.1145/3578244.3583733
M3 - Conference contribution
AN - SCOPUS:85158152350
SP - 207
EP - 220
BT - ICPE 2023 - Proceedings of the 2023 ACM/SPEC International Conference on Performance Engineering
Y2 - 15 April 2023 through 19 April 2023
ER -