Long Term Evolution Anomaly Detection and Root Cause Analysis for Data Throughput Optimization
نویسندگان
چکیده
منابع مشابه
Berkay Kicanaoglu Unsupervised Anomaly Detection in Unstructured Log-data for Root-cause-analysis
BERKAY KICANAOGLU: Unsupervised Anomaly Detection in unstructured log-data for root-cause-analysis Tampere University of Technology Master's Thesis, 64 pages, 0 Appendix pages April 2015 Master's Degree Programme in Information Technology Major: Signal Processing Examiner: Prof. Moncef Gabbouj
متن کاملRoot Cause and Error Analysis
Error is an inevitable part of life and cannot be completely eliminated, but it can be minimized. A root cause analysis is a technique for understanding the systematic error causes that is involved beyond a person or people to implement an errors and including field and environmental causes of errors when occur in this situation too. An important factor of an error occurrence is a root cause (c...
متن کاملSENATUS: An Approach to Joint Traffic Anomaly Detection and Root Cause Analysis
In this paper, we propose a novel approach, called SENATUS, for joint traffic anomaly detection and root-cause analysis. Inspired from the concept of a senate, the key idea of the proposed approach is divided into three stages: election, voting and decision. At the election stage, a small number of senator flows are chosen to represent approximately the total (usually huge) set of traffic flows...
متن کاملChronix: Long Term Storage and Retrieval Technology for Anomaly Detection in Operational Data
Anomalies in the runtime behavior of software systems, especially in distributed systems, are inevitable, expensive, and hard to locate. To detect and correct such anomalies (like instability due to a growing memory consumption, failure due to load spikes, etc.) one has to automatically collect, store, and analyze the operational data of the runtime behavior, often represented as time series. T...
متن کاملThe Evolution of Long-term Care Programs; Comment on “Financing Long-term Care: Lessons From Japan”
The need for long-term care (LTC) represents a “new social risk,” one that overlaps with and complements systems of care that pre-date such programs, complicating LTC program design. This commentary expands on Ikegami’s discussion of how these structural factors must be accommodated, as well as historical and cultural factors that influence public expectations of such a...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: International Journal of Computer Applications
سال: 2020
ISSN: 0975-8887
DOI: 10.5120/ijca2020920907