Title
AutoFocus: Automatically scoping the impact of anomalous service events
Abstract
Networks, and the services they enable, are increasingly diverse and highly utilized. From DSL and fiber-to-the-home access networks, to cellular mobile networks, to contentdelivery networks; all require extensive monitoring in order to meet the increase of user expectations of the availability and quality of those services provided to them. The complexity of these networks and services require better management on the part of providers as the data resulting from service monitoring experiences an increase in dimensionality, making it difficult to fully interpret anomalies in the data. For example, anomaly detection generally says “I found an anomaly with mobile phone A in market Z”. But it is more useful to know what other phones and what other markets are also experiencing the same anomaly.
Year
DOI
Venue
2017
10.23919/CNSM.2017.8255986
2017 13th International Conference on Network and Service Management (CNSM)
Keywords
Field
DocType
impact scoping problem,mobile phone,anomaly detection,service monitoring,service management,anomalous service events,automatic scoping,AutoFocus
Anomaly detection,User expectations,Autofocus,Computer science,Digital subscriber line,Computer network,Curse of dimensionality,Mobile phone,Access network,Mobile telephony,Distributed computing
Conference
ISSN
ISBN
Citations 
2165-9605
978-1-5386-2153-0
0
PageRank 
References 
Authors
0.34
9
4
Name
Order
Citations
PageRank
Ren Quinn100.68
Zihui Ge284755.97
He Yan3815.94
Jacobus E. Van Der Merwe41706217.92