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IEEE NetSoft 2018

IEEE NetSoft 2018

The 4th IEEE International Conference on Network Softwarization (NetSoft 2018) will be held on 25-29 June 2018 at Concordia University in Montreal, Canada. The conference theme is "Achieving smart network softwarization".

NetSoft 2018 will shed light on the key technology components and systems underlying SDN-NFV, clouds-edges and emerging network service infrastructures for the efficient handling of heterogeneous resources across networks and datacenter domains, and the easy and fast deployment of new ICT services.

Read more at the IEEE NetSoft 2018 website.

Feature Article

Transport Aspects of Network Slicing: Existing Solutions and Gaps

Transport Aspects of Network Slicing: Existing Solutions and Gaps

A network slice is defined by 3GPP as an end to end logical network comprising a set of managed resources and network functions. Its definition and deployment start from the RAN (Radio Access Network) and packet core, but in order to guarantee end to end SLAs (Service Level Agreements) and KPIs (Key Performance Indicators) especially for applications that require strict latency and bandwidth guarantee, the transport network also plays an important role and needs to be sliced as part of services bound to the different slices. However, it is not easy for clients/applications to interface directly with transport networks.

Read more in the January issue of IEEE Softwarization.

Technology Spotlight

A.I. for mitigating the complexity of the Digital Transformation

A.I. for Mitigating the "Complexity" of the Digital Transformation

Several techno-economic drivers are paving the way to a profound digital transformation of Telecommunications infrastructures. Among these drivers, there are: the diffusion of ultra-broadband, the increasing of performance of IT systems vs the down-spiralling costs, emerging of innovative networks and services paradigms such as SDN and NFV, the growing availability of open source software but also the impressive advances of Machine Learning and Artificial Intelligence.

Read more and join the discussion at the IEEE SDN Blog.