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09/19/2023
Ditto: An Elastic and Adaptive Memory-Disaggregated Caching System
In-memory caching systems are fundamental building blocks in cloud servi...
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08/19/2023
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services
As modern software systems continue to grow in terms of complexity and v...
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08/18/2023
AutoLog: A Log Sequence Synthesis Framework for Anomaly Detection
The rapid progress of modern computing systems has led to a growing inte...
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08/15/2023
Maat: Performance Metric Anomaly Anticipation for Cloud Services with Conditional Diffusion
Ensuring the reliability and user satisfaction of cloud services necessi...
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07/20/2023
Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection
Performance issues permeate large-scale cloud service systems, which can...
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07/12/2023
Exploring the Effectiveness of LLMs in Automated Logging Generation: An Empirical Study
Automated logging statement generation techniques facilitate developers ...
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06/02/2023
EvLog: Evolving Log Analyzer for Anomalous Logs Identification
Software logs record system activities, aiding maintainers in identifyin...
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03/28/2023
Improving the Transferability of Adversarial Samples by Path-Augmented Method
Deep neural networks have achieved unprecedented success on diverse visi...
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02/14/2023
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention
Prompt and accurate detection of system anomalies is essential to ensure...
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02/10/2023
Eadro: An End-to-End Troubleshooting Framework for Microservices on Multi-source Data
The complexity and dynamism of microservices pose significant challenges...
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01/24/2023
FUSEE: A Fully Memory-Disaggregated Key-Value Store (Extended Version)
Distributed in-memory key-value (KV) stores are embracing the disaggrega...
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01/17/2023
eBPF-based Working Set Size Estimation in Memory Management
Working set size estimation (WSS) is of great significance to improve th...
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12/25/2022
An Adaptive Resilience Testing Framework for Microservice Systems
Resilience testing, which measures the ability to minimize service degra...
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08/28/2022
Managing Service Dependency for Cloud Reliability: The Industrial Practice
Interactions between cloud services result in service dependencies. Eval...
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06/22/2022
Heterogeneous Anomaly Detection for Software Systems via Attentive Multi-modal Learning
Prompt and accurate detection of system anomalies is essential to ensure...
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05/13/2022
AEON: A Method for Automatic Evaluation of NLP Test Cases
Due to the labor-intensive nature of manual test oracle construction, va...
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04/13/2022
Characterizing and Mitigating Anti-patterns of Alerts in Industrial Cloud Systems
Alerts are crucial for requesting prompt human intervention upon cloud a...
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03/31/2022
Improving Adversarial Transferability via Neuron Attribution-Based Attacks
Deep neural networks (DNNs) are known to be vulnerable to adversarial ex...
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01/09/2022
Adaptive Performance Anomaly Detection for Online Service Systems via Pattern Sketching
To ensure the performance of online service systems, their status is clo...
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01/05/2022
ARCLIN: Automated API Mention Resolution for Unformatted Texts
Online technical forums (e.g., StackOverflow) are popular platforms for ...
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12/23/2021
SemParser: A Semantic Parser for Log Analysis
Logs, being run-time information automatically generated by software, re...
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08/27/2021
Graph-based Incident Aggregation for Large-Scale Online Service Systems
As online service systems continue to grow in terms of complexity and vo...
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08/20/2021
AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems
Service reliability is one of the key challenges that cloud providers ha...
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07/13/2021
Experience Report: Deep Learning-based System Log Analysis for Anomaly Detection
Logs have been an imperative resource to ensure the reliability and cont...
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09/15/2020
A Survey on Automated Log Analysis for Reliability Engineering
Logs are semi-structured text generated by logging statements in softwar...
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06/27/2018
