Hotspot: Anomaly localization for additive kpis with multi-dimensional attributes
Additive key performance indicators (KPIs)(such as page view (PV), revenue, and error
count) with multi-dimensional attributes (such as ISP, Province, and DataCenter) are …
count) with multi-dimensional attributes (such as ISP, Province, and DataCenter) are …
CellPAD: Detecting performance anomalies in cellular networks via regression analysis
How to accurately detect Key Performance Indicator (KPI) anomalies is a critical issue in
cellular network management. We present CellPAD, a unified performance anomaly …
cellular network management. We present CellPAD, a unified performance anomaly …
Supervised and semi-supervised learning for failure identification in microwave networks
F Musumeci, L Magni, O Ayoub… - … on Network and …, 2020 - ieeexplore.ieee.org
Automated failure-cause identification in communication networks allows operators to
reduce service unavailability. Once the most likely failure root-cause is identified …
reduce service unavailability. Once the most likely failure root-cause is identified …
Cause-aware failure detection using an interpretable XGBoost for optical networks
Failure detection is an important part of failure management, and network operators
encounter serious consequences when operating under failure conditions. Machine …
encounter serious consequences when operating under failure conditions. Machine …
A graph based clustering technique for tweet summarization
Twitter is a very popular online social networking site, where hundreds of millions of tweets
are posted every day by millions of users. Twitter is now considered as one of the fastest and …
are posted every day by millions of users. Twitter is now considered as one of the fastest and …
Proactive microwave link anomaly detection in cellular data networks
Microwave links are widely used in cellular networks for large-scale data transmission. From
the network operators' perspective, it is critical to quickly and accurately detect microwave …
the network operators' perspective, it is critical to quickly and accurately detect microwave …
Anomaly Detection and Early Warning Model for Latency in Private 5G Networks
J Han, T Liu, J Ma, Y Zhou, X Zeng, Y Xu - Applied Sciences, 2022 - mdpi.com
Different from previous generations of communication technology, 5G has tailored several
modes especially for industrial applications, such as Ultra-Reliable Low-Latency …
modes especially for industrial applications, such as Ultra-Reliable Low-Latency …
Autoroot: A novel fault localization schema of multi-dimensional root causes
P Jing, Y Han, J Sun, T Lin, Y Hu - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
The key challenge for large scale software system maintenance is to minimize the
troubleshooting time when severe system anomaly (eg, server failure, link congestion …
troubleshooting time when severe system anomaly (eg, server failure, link congestion …
Stateful-TCP—A new approach to accelerate TCP slow-start
L Guo, JYB Lee - IEEE Access, 2020 - ieeexplore.ieee.org
The Transmission Control Protocol (TCP) is one of the pillars of the Internet. Therefore
extensive research has been conducted to improve its performance, primarily via optimizing …
extensive research has been conducted to improve its performance, primarily via optimizing …
Multi-task sequence learning for performance prediction and KPI mining in database management system
C Wan, W Li, W Ding, Z Zhang, Q Lu, L Qian, J Xu… - Information …, 2021 - Elsevier
Predicting future performance curve and mining the top-K influential KPIs are two important
tasks for Database Management System (DBMS) operations. In this paper, we propose a …
tasks for Database Management System (DBMS) operations. In this paper, we propose a …