Uncovering Secrets of Microbursts in Datacenter Network Traffic

Designing efficient methods and policies for mitigating microbursts requires a thorough understanding of microburst characteristics and behaviors. However, the lack of detailed studies on microburst characteristics and comprehensive tools for measuring and analyzing them has been a significant challenge for researchers in this field. We introduce BurstVision, a tool that extracts various characteristics of microbursts from traffic traces. Using BurstVision, we analyze several traffic traces from various cloud datacenter applications and report on the diverse characteristics of microbursts observed. Our analysis reveals that microburst characteristics significantly vary across applications. Moreover, we discuss how these varying characteristics can influence the effectiveness of different microburst mitigation solutions. Our findings highlight the importance of considering the specific type and characteristics of microbursts in traffic when adopting a microburst mitigation solution.

Authors

Institutions

Publication Details

Published
2024-10-28
DOI
https://doi.org/10.23919/cnsm62983.2024.10814641
Primary Topic
Network Security and Intrusion Detection
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Uncovering Secrets of Microbursts in Datacenter Network Traffic

Mohammad Hosseini, Patrick Eugster, Madjid Nakhjiri, Sina Darabi
Network Security and Intrusion Detection
article

Uncovering Secrets of Microbursts in Datacenter Network Traffic

Mohammad Hosseini, Patrick Eugster, Madjid Nakhjiri, Sina Darabi
article en

Abstract

Designing efficient methods and policies for mitigating microbursts requires a thorough understanding of microburst characteristics and behaviors. However, the lack of detailed studies on microburst characteristics and comprehensive tools for measuring and analyzing them has been a significant challenge for researchers in this field. We introduce BurstVision, a tool that extracts various characteristics of microbursts from traffic traces. Using BurstVision, we analyze several traffic traces from various cloud datacenter applications and report on the diverse characteristics of microbursts observed. Our analysis reveals that microburst characteristics significantly vary across applications. Moreover, we discuss how these varying characteristics can influence the effectiveness of different microburst mitigation solutions. Our findings highlight the importance of considering the specific type and characteristics of microbursts in traffic when adopting a microburst mitigation solution.

Shahid Beheshti University (IR), Università della Svizzera italiana (CH)
Openalex Percentile: Top 72%
Network Security and Intrusion Detection
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.