[ecoop-info] CFP -- IEEE/IFIP International Workshop on Analytics for Network and Service Management (Submissions due: 15 December 2015)
Nur Zincir-Heywood
zincir at cs.dal.ca
Mon Nov 2 16:41:04 CET 2015
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IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2016)
In conjunction with the IEEE/IFIP Network Operations and Management Symposium (NOMS) in Istanbul, Turkey, April 25-29, 2016
https://projects.cs.dal.ca/projectx/AnNet2016/
(Submissions due: 15 December 2015)
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The IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2016) will be held in conjunction with the IEEE/IFIP Network Operations and Management Symposium (NOMS) in Istanbul, Turkey, April 25-29, 2016. 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. The main goal of AnNet is to present research and work-in-progress results in the area of data analytics and machine learning for network and service management. 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 are also welcome.
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Topics of Interest
Authors are invited to submit papers that fall into or are related to one or multiple topic areas listed below:
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 analytics
• Real-time analytics
• Harnessing social data for management
Machine Learning Techniques
• Supervised learning
• Unsupervised learning
• Semi-supervised 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 defined networks
• Software defined networks
• Network function virtualization
• Security management
• Fault management
• Performance management
• 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
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Paper Submission
Paper submissions must present original, unpublished research or experiences. Only original papers that have not been published or submitted for publication elsewhere can be submitted. Each submission must be written in English, accompanied by a 75 to 200 words abstract that clearly outlines the scope and contributions of the paper. There is a length limitation of 6 pages (including title, abstract, all figures, tables, and references) for regular papers, and 4 pages for short papers describing work in progress. Submissions must be in IEEE 2-column style. Self-plagiarized papers will be rejected without further review.
Authors should submit their papers via JEMS at https://jems.sbc.org.br/annet2016.
Papers accepted for AnNet 2016 will be included in the conference proceedings, IEEE Xplore, IFIP database and EI Index. IFIP and IEEE reserve the right to remove any paper from the IFIP database and IEEE Xplore if the paper is not presented at the workshop.
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Important Dates
Paper Submission Deadline: December 15, 2015
Acceptance Notification: January 30, 2016
Camera-Ready Papers: February 15, 2016
Workshop Date: April 25, 2016
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Workshop Co-Chairs
Yixin Diao, IBM T. J. Watson Research Center, USA
Nur Zincir-Heywood, Dalhousie University, Canada
Please contact us if you have any question about the IEEE/IFIP International Workshop on Analytics for Network and Service Management (AnNet 2016): info.AnNet2016 at gmail.com
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