NTAS 2016 - IEEE Communications Magazine Network Testing and Analytics Series

IEEE Communications Magazine
Network Testing and Analytics Series
Call for Papers
Due date for the next issue: Feb 1, 2016
Publication date: September 2016
The objective of the Network Testing and Analytics Series of IEEE Communications Magazineis to provide a forum across the academia and the industry to address the design and implementation defects unveiled by network testing and to survey analytics solutions that can help improve infrastructure and operations. In the industry, testing has been used to evaluate the design and implementation of a system. But in the academia, a more common practice is to evaluate a design by mathematical analysis or simulation without actual implementations. A less common practice is to evaluate a design by testing a partial implementation. That is, the academia focuses more deeply on algorithmic design evaluation while the industry has broader concerns on both algorithmic design issues and system implementation issues. Often, an optimized algorithmic component could not guarantee the optimal operation of the whole system when other components throttle the overall performance.
Network analytics complement testing and modelling activities during design, as well as during implementation and subsequent production and operation phases of a network or system. To ensure that network and system solutions deliver their required service quality, a range of testing and analytics capabilities and practices are required to model, measure and evaluate the effectiveness of the solutions over their lifecycles.
This series serves as a forum to bridge the gap on network testing and analytics activities, where the design or implementation defects and outcomes found by either community could be referred by another community. The defects could be found in various dimensions of testing. The type of testing could be functionality, performance, conformance, interoperability and stability of the systems under test (SUT) in the lab or in the field. The SUT could be black-box without source code or binary code, grey-box with binary code or interface, or white-box with source code. For grey-box or white-box testing, profiling would help to identify and diagnose system bottlenecks. For black-box testing, benchmarking devices of the same class could reflect the state of the art. The SUT could range from link-layer systems such as Ethernet, WLAN, WiMAX, 3G/4G cellular, and xDSL, to mid-layer switches and routers, upper-layer systems such as VoIP, SIP signaling, multimedia, network security, and consumer devices such as handhelds.
With the increasing complexity of networks and systems - further fueled by the adoption of software-defined networking and network functions virtualization ? management, operations and troubleshooting is expected to become more complex. Predictive network analytics has an increasingly important role to play in helping identify and resolve issues before they impact operational performance. Measurement of network traffic and customer experience for the purpose of providing a consistent and predictable level of services has been the norm in network engineering although there are ongoing and increasing challenges related to scale and complexity.
In summary, the Network Testing and Analytics Series solicits articles falling in, but not limited to, the following topics:
Testing functionality, performance, conformance, interoperability, and stability
Testing systems and services of 10G Ethernet, Power over Ethernet, WLAN, WiMAX, 3G/4G/5G cellular, xDSL, switches, routers, IPv6, VoIP, SIP signaling, storage area networks, network security, consumer handhelds, and software defined networking (SDN)
Testing various layers of network devices including black-boxes, white-boxes, and grey-boxes
Benchmarking and profiling network systems and services
Network lab testing and field testing
Designing network test methodologies, test tools, and test beds
Evaluating false positive and negative of network security
Analyzing lab-found and customer-found defects
Network analytics infrastructure
Custom analytics solutions for planning, traffic management and overall improvement of network infrastructure and operations
Network performance monitoring and diagnostics
Predictive network analytics to help detect network and application issues
Analytic tools for troubleshooting and identifying root causes
SUBMISSION GUIDELINES
Prospective authors are strongly encouraged to contact the Series Editors before writing and submitting an article in order to ensure that the article will be appropriate for the Series. The submitted articles should not be published elsewhere or be under review for any other conference or journal. Articles should be tutorial yet rigorous in nature. Mathematical equations should not be used (although some simple equations may be allowed if permission is granted by the Series Editor and the Editor-in-Chief). Articles should not exceed 4500 words. Figures and tables should be limited to a combined total of six. Complete guidelines for prospective authors can be found at: http://www.comsoc.org/commag/paper-submission-guid....
Please submit PDF (preferred) or MS WORD formatted papers to Manuscript Central (http://mc.manuscriptcentral.com/commag-ieee),register or log in, and go to the Author Center. Follow the instructions there, and select the topic "Network Testing and Analytics Series." Since this is a regular series, papers can be submitted at any time for consideration for subsequent issues.
SCHEDULE
1ST ISSUE OF EACH YEAR
Submission Deadline: August 1
Review Feedback: October 15
Acceptance Notification: December 1
Final Manuscript Submission: January 1
Publication Date: March
2ND ISSUE OF EACH YEAR
Submission Deadline: February 1
Review Feedback: April 15
Acceptance Notification: June 1
Final Manuscript Submission: July 1
Publication Date: September
SERIES EDITORS
Ying-Dar Lin
National Chiao Tung University - Network Benchmarking Lab (NCTU-NBL)
TAIWAN
ydlin-AT-cs.nctu.edu.tw
Irena Atov
InCluesive Technologies
USA
i.atov-AT-ieee.org
Erica Johnson
University of New Hampshire - InterOperability Lab (UNH-IOL)
USA
erica.johnson-AT-iol.unh.edu