TNSM 2016 - Special Issue on Big Data Analytics for Management
Topics/Call fo Papers
IEEE Transactions on Network and Service Management
Special Issue on Big Data Analytics for Management
http://www.comsoc.org/tnsm/cfp/si-bdm
(Submissions due: 15 November 2015)
===
IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications. This special issue will focus on “Big Data Analytics for Management,” presenting recent, emerging approaches and technical solutions that can exploit Big Data and analytics in management solutions. Cloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, configuration, performance, and security management. In particular, we see a growing trend towards using statistical analysis and machine learning as an engineering method to improve operations and management of IT systems and networks. We welcome submissions addressing the underlying challenges of using Big Data analytics for management and presenting novel theoretical or experimentation results. Survey papers that offer a perspective on related work and identify key challenges for future research will be considered as well.
---
Topics of Interest
Topics of interest for this special issue include, but are not limited, to the following:
? Cloud and network analytics
? Predictive analytics and real-time analytics
? Monitoring and measurements for management
? Harnessing social data for management
? Analyzing and storing logs and operational data for management tasks
? Analytics for traffic classification, intrusion detection, failure detection, root-cause analysis, service quality assurance, IT service management, storage resource management, etc.
? Data centric management of clouds and software defined networks
? Data centric management of virtualized infrastructure and data center
? Data centric management of Internet of Things and cyber-physical systems
? Data mining, statistical modeling, and machine learning for management
---
Paper Submission
All papers should be submitted through the IEEE Transactions on Network and Service Management manuscript submission site at https://mc.manuscriptcentral.com/tnsm. Authors must indicate in the submission cover letter that their manuscript is intended for the “Big Data Analytics for Management” special issue. Each submission will be limited to 14 pages in IEEE 2-column format. Detailed author guidelines can be found at http://www.comsoc.org/tnsm/author-guidelines.
---
Important Dates
Paper submission: November 15, 2015
Review results returned: February 15, 2016
Revision submission: March 15, 2016
Final acceptance notification: April 15, 2016
Final paper submission: May 6, 2016
Publication date (tentative): June 2016
---
Guest Editors
Giuliano Casale (Imperial College London, UK)
Yixin Diao (IBM T. J. Watson Research Center, USA)
Hanan Lutfiyya (University of Western Ontario, Canada)
Philippe Owezarski (LAAS-CNRS, France)
Danny Raz (Technion and Bell Labs, Israel)
For more information, please contact the guest editors at diao-AT-us.ibm.com.
Special Issue on Big Data Analytics for Management
http://www.comsoc.org/tnsm/cfp/si-bdm
(Submissions due: 15 November 2015)
===
IEEE Transactions on Network and Service Management (IEEE TNSM) is a premier journal for timely publication of archival research on the management of networks, systems, services and applications. This special issue will focus on “Big Data Analytics for Management,” presenting recent, emerging approaches and technical solutions that can exploit Big Data and analytics in management solutions. Cloud and network analytics can harness the immense stream of operational data from clouds and networks, and can perform analytics processing to improve reliability, configuration, performance, and security management. In particular, we see a growing trend towards using statistical analysis and machine learning as an engineering method to improve operations and management of IT systems and networks. We welcome submissions addressing the underlying challenges of using Big Data analytics for management and presenting novel theoretical or experimentation results. Survey papers that offer a perspective on related work and identify key challenges for future research will be considered as well.
---
Topics of Interest
Topics of interest for this special issue include, but are not limited, to the following:
? Cloud and network analytics
? Predictive analytics and real-time analytics
? Monitoring and measurements for management
? Harnessing social data for management
? Analyzing and storing logs and operational data for management tasks
? Analytics for traffic classification, intrusion detection, failure detection, root-cause analysis, service quality assurance, IT service management, storage resource management, etc.
? Data centric management of clouds and software defined networks
? Data centric management of virtualized infrastructure and data center
? Data centric management of Internet of Things and cyber-physical systems
? Data mining, statistical modeling, and machine learning for management
---
Paper Submission
All papers should be submitted through the IEEE Transactions on Network and Service Management manuscript submission site at https://mc.manuscriptcentral.com/tnsm. Authors must indicate in the submission cover letter that their manuscript is intended for the “Big Data Analytics for Management” special issue. Each submission will be limited to 14 pages in IEEE 2-column format. Detailed author guidelines can be found at http://www.comsoc.org/tnsm/author-guidelines.
---
Important Dates
Paper submission: November 15, 2015
Review results returned: February 15, 2016
Revision submission: March 15, 2016
Final acceptance notification: April 15, 2016
Final paper submission: May 6, 2016
Publication date (tentative): June 2016
---
Guest Editors
Giuliano Casale (Imperial College London, UK)
Yixin Diao (IBM T. J. Watson Research Center, USA)
Hanan Lutfiyya (University of Western Ontario, Canada)
Philippe Owezarski (LAAS-CNRS, France)
Danny Raz (Technion and Bell Labs, Israel)
For more information, please contact the guest editors at diao-AT-us.ibm.com.
Other CFPs
- Third International Conference on Computer Graphics, Multimedia and Image Processing (CGMIP2016)
- 2016 Second International Conference on Software Engineering, Mobile Computing and Media Informatics (SEMCMI)
- International Conference on Cyber Threat Intelligence (CTI2016)
- 3rd Annual International Conference on Contemporary Cultural Studies (CCS 2015)
- 2nd IEEE/IFIP International Workshop on Security for Emerging Distributed Network Technologies
Last modified: 2015-10-08 13:33:04