Anomaly Detection Based on Log Analysis | AI/ML IN 5G CHALLENGE
7.8 هزار بار بازدید -
3 سال پیش
-
Puzzled by massive log data?
Puzzled by massive log data? Log Anomaly Detection can save you!
Logs, as we know, record valuable systems runtime information. It plays a critical role for telecom operators to localize and demarcate the faults of network elements. While the network function virtualization (NFV) solution is widely adopted for 5G network, each data center (DC) runs into one hundred million lines per day. Traditionally, operators often inspect logs manually with keyword search and rule matching, however, the explosion of log volume renders the infeasibility of manual inspection. In this challenge, we will explore anomaly detection based on log analysis. The log messages are collected from real services. Participants are expected to use AI technique to analyze log files of the failed run, to support operators in quick root cause analysis.
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What is AI for Good?
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
#ML5G #ML5GChallenge
Logs, as we know, record valuable systems runtime information. It plays a critical role for telecom operators to localize and demarcate the faults of network elements. While the network function virtualization (NFV) solution is widely adopted for 5G network, each data center (DC) runs into one hundred million lines per day. Traditionally, operators often inspect logs manually with keyword search and rule matching, however, the explosion of log volume renders the infeasibility of manual inspection. In this challenge, we will explore anomaly detection based on log analysis. The log messages are collected from real services. Participants are expected to use AI technique to analyze log files of the failed run, to support operators in quick root cause analysis.
🔴 Watch the latest #AIforGood videos:
aiforgood
Explore more #AIforGood content:
1️⃣ Top Hits
2️⃣ AI for Good Webinars
3️⃣ AI for Good Keynotes
📅 Discover what's next on our programme!
https://aiforgood.itu.int/programme/
Social Media:
Website: https://aiforgood.itu.int/
Twitter: Twitter: ITU_AIForGood
LinkedIn Page: LinkedIn: 26511907
LinkedIn Group: LinkedIn: 8567748
Instagram: Instagram: aiforgood
Facebook: Facebook: AIforGood
What is AI for Good?
The AI for Good series is the leading action-oriented, global & inclusive United Nations platform on AI. The Summit is organized all year, always online, in Geneva by the ITU with XPRIZE Foundation in partnership with over 35 sister United Nations agencies, Switzerland and ACM. The goal is to identify practical applications of AI and scale those solutions for global impact.
Disclaimer:
The views and opinions expressed are those of the panelists and do not reflect the official policy of the ITU.
#ML5G #ML5GChallenge
3 سال پیش
در تاریخ 1400/04/17 منتشر شده
است.
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