The Second IFIP/IEEE International Workshop on Analytics for Network and Service Management (AnNet 2017) will be held in conjunction with the IFIP/IEEE International Symposium on Integrated Network Management (IM 2017) in Lisbon, Portugal, May 8-12, 2017.
Following the success of the first edition of this workshop, the main goal of AnNet is to present research and experience results in the area of data analytics and machine learning for network and service management. Approaches such as statistical analysis, data mining, and machine learning are promising mechanisms to harness the immense stream of operational data and to improve operations and management of IT systems and networks.
AnNet 2017 will include original full-papers presentations, a keynote, and short-paper sessions. The workshop attendees will be stimulated to participate in interesting discussions. To this end, short papers describing late-breaking advances and work-in-progress reports from ongoing research and experimental work are also welcome.
Data Analytics
Analysis, modeling and visualization
Operational analytics and intelligence
Event and log analytics
Big data analytics
Network traffic analysis
Anomaly detection and prediction
Monitoring and measurements for management
Predictive and real-time analytics
Harnessing social data for management
Machine Learning Techniques
Supervised, semi-supervised and unsupervised learning
Clustering and data mining
Reinforcement learning
Multi-agent based learning
Deep learning
Bayesian methods
Ensemble methods
Cognitive computing
Mining spatiotemporal and time series data
Network Management Paradigms
Autonomous and autonomic networks
Bio-inspired networks
Self* Management
Cognitive and software defined networks
Network function virtualization
Security, fault, performance and resource management
Application Domains
Computer Networks
Mobile ad-hoc networks
Wireless sensor networks
Clouds and data centers
Virtualized infrastructures
Internet of Things
Computing and network services
IT service management
Storage resource management
05月08日
2017
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