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SI - SDN, NFV, NMS 2015 : Journal Special Issue on Software Defined Network, Software Defined Infrastructure, Network Functions Virtualization, Autonomous System & Network Management | |||||||||||||||
Link: http://www.manageability-at-scale.org/cfp | |||||||||||||||
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Call For Papers | |||||||||||||||
CALL FOR PAPERS on SDN, NFV, NMS Conferences, Journal Special Issues
http://www.manageability-at-scale.org/cfp 1) Special Issue on Software Defined Network, Software Defined Infrastructure, Network Functions Virtualization, Autonomous System & Network Management International Journal of Communication Networks and Distributed Systems (http://www.inderscience.com/info/ingeneral/cfplist.php?jcode=ijcnds) Full paper regular submission due: April 30, 2015, if you have good content we might accommodate your late submission as well, kindly mail at manageabilityatscale@gmail.com Notification of results: June 15, 2015 or earlier (early submission will get early notifications) Revision due: July 15, 2015 Notification of final acceptance: August 15, 2015 or earlier Submission of final revised paper: September 15, 2015 Theme and Scope For last few years there has been a tremendous growth in data traffic due to high adoption rate of mobile devices and cloud computing. Internet of things (IoT) will stimulate even further growth. This is increasing scale and complexity of telecom/internet service provider (SP) and enterprise data center (DC) compute and network infrastructures. As a result, managing these large network-compute converged infrastructures is becoming complex and cumbersome. To cope up, network and data center operators are trying to automate network and system operations, administrations and management (OAM) functions. OAM includes all non functional mechanisms which keep the network running. By removing human operators from the lower levels of the management loop (e.g. using an automated system to analyze network alarms/events and take corrective action), improved operational and economic efficiencies and operational scalability is being achieved. This kind of network management automation is reducing capital and operation expenditures, this in turn is driving down cost, stimulating service demand, increasing revenues and maintaining profitability. New paradigms like Software Defined Network (SDN), Software Defined Infrastructure (SDI), Network Function Virtualization (NFV), and automation of network and system management operations is helping in achieving these business objectives. From this viewpoint, SDN and NFV can be considered as milestones in this roadmap of automated OAM for large scale infrastructures. Centralization of control plane in a SDN controller avoids the need to have human operators to manage large number of network devices individually. By virtue of centralization, SDN can implement various automated network management and control plane logic. Similarly, many large internet application providers have implemented home grown non-traditional automated network and system management systems at their DCs. On the other hand, NFV approach by telecom SPs, is proposing to address some of the manageability-at-scale problems with virtual network devices running on generic hardware. This will replace large variety of specialized network device hardware, simplify and bring in operational efficiencies. For all these paradigms, the key success factors are intelligent software, its programability to implement complex logic at low cost and scaling opportunities through elasticity at different time scales. This special issue aims to show case and disseminate new ideas and high quality research for enabling automation, optimization and/or improving economics of network and system management and operations. We solicit original research articles, review papers, theoretical studies, practical software systems incorporating new paradigms, experimental prototypes, and insightful industry analysis with the above theme. Articles from industry authors will be given special consideration. Submitted papers should not have been previously published nor be currently under consideration for publication elsewhere. All papers are refereed through a peer review process and are selected for publication based on quality, unique contribution and relevance to the theme of this special issue. Topics of interest include: - New ideas that improve network, compute and storage infrastructure economics, programmability and security - New paradigms in network operations and management, converged network-compute and data center management - Software Defined Network (SDN), abstraction, programmability, application Interface, south and northbound API - Software Defined Infrastructure (storage, etc.) - Network Function Virtualization (NFV), distributed control, virtual switches, routing virtualization - Network & system management, orchestration, resource management and optimization, integration, interoperability - Network operations & management related automation, troubleshooting and management tools - Cloud based network and system management application paradigms - Application of artificial intelligence (AI), machine learning (ML), analytics and big data in network and system management - Performance analysis & evaluation, simulation, QoS/QoE, benchmarking - Security, privacy, authentication, trust, verification - ASICs, SoC, hardware architectures for SDN, SDI, NFV, Autonomous NMS, OAM - Scalability of SDN, NFV, SDI, NMS systems - Insights about SDN, SDI, NFV, NMS architectural requirements & analysis - Application and use cases: wireless and mobile networks, carrier ethernet, optical transport, converged optical & packet, data center networks, transitioning existing networks to SDN - User experience, user interface design issues and challenges in NMS, ethnographic studies on network operations centers, usability studies of management applications - Insights about telco (SP), enterprise DC business & industry trends related to SDN, SDI, NFV and NMS Instructions for Manuscripts Prospective authors should submit full manuscripts with MS Word format or PDF format, electronically at respective submission systems as mentioned in the CFP links above. Editorial/Organizing Team Amitava Biswas Cisco Systems, USA amitavabiswas@ieee.org Inder Monga Lawrence Berkeley National Lab and ONF, USA imonga@es.net Kashinath Basu Oxford Brookes University, UK kbasu@brookes.ac.uk Chen Liu Microsoft, USA chenliu419@gmail.com Michael Bredel California Institute of Technology, CERN, Switzerland michael.bredel@cern.ch |
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