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Kmon: An In-kernel Transparent Monitoring System for Microservice Systems with eBPF
This paper proposes a novel system, named Kmon, which is an In-kernel transparent monitoring system for microservice systems with extended Berkeley Packet Filter (eBPF).
Tianjun Weng
,
Wanqi Yang
,
Guangba Yu
,
Pengfei Chen
,
Jieqi Cui
,
Chuangfu Zhang
MicroRank: End-to-End Latency Issue Localization with Extended Spectrum Analysis in Microservice Environments
This paper proposes a novel system, named MicroRank, which analyzes clues provided by normal and abnormal traces to locate root causes of latency issues.
Guangba Yu
,
Pengfei Chen
,
Hongyang Chen
,
Zijie Guan
,
Zicheng Huang
,
Linxiao Jing
,
Tianjun Weng
,
Xinmeng Sun
,
Xiaoyun Li
SwissLog: Robust and Unified Deep Learning Based Log Anomaly Detection for Diverse Faults
In this paper, we propose SwissLog, namely a robust and unified deep learning based anomaly detection model for detecting diverse faults based on logs.
Xiaoyun Li
,
Pengfei Chen
,
Linxiao Jing
,
Zilong He
,
Guangba Yu
A Spatiotemporal Deep Learning Approach for Unsupervised Anomaly Detection in Cloud Systems
In this article, we propose TopoMAD, a stochastic seq2seq model which can robustly model spatial and temporal dependence among contaminated data.
Zilong He
,
Pengfei Chen
,
Xiaoyun Li
,
Yongfeng Wang
,
Guangba Yu
,
Cailin Chen
,
Xinrui Li
,
Zibin Zheng
Microscaler: Cost-effective Scaling for Microservice Applications in the Cloud with an Online Learning Approach
In this paper, we present a novel system named Microscaler to automatically identify the scaling-needed services and scale them to meet the Service Level Agreement (SLA) with an optimal cost for microservice applications.
Guangba Yu
,
Pengfei Chen
,
Zibin Zheng
Microscaler: Automatic Scaling for Microservices with an Online Learning Approach
In this paper, we present a novel system named Microscaler to automatically identify the scaling-needed services and scale them to meet the service level agreement (SLA) with an optimal cost for micro-service systems.
Guangba Yu
,
Pengfei Chen
,
Zibin Zheng
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