IEEE Workshop on Network Automation, March 25th, 2024 (free virtual event) Network Disaggregation and Network Softwarization are revolutionizing the design, deployment, management, and operation of networks. The objective of Network Automation is to enable Service Providers to achieve "Zero Touch Provisioning" throughout the entire network, encompassing physical and virtual domains across Transport and Data Center Networks. The growing maturity of cloud technologies, coupled with the adoption of open-source software and DevOps/GitOps principles, is fostering an Open End-to-End Network Automation framework. Intent-based Networking is driving the demand for increased Network abstraction, while Network Slicing, particularly in the context of 5G, necessitates automation support at the granular level of Slices. Furthermore, Service Providers are harnessing Artificial Intelligence, including the latest advancements in Generative AI, to plan, deploy, configure, orchestrate, analyze, and assure mobile networks and services. This simultaneously enhances Network efficiency, reduces operating costs, and improves both service quality and customer experience. Underpinning these advancements, the IEEE Workshop on Network Automation is uniting leading experts from communication service providers, telco vendors, software service providers, open-source network automation projects, industry consortiums, and academia. They convene to discuss the latest technical innovations, opportunities, and challenges in Network Automation. Co-sponsored by IEEE Communications Society and IEEE Princeton Central Jersey Section, this single-day workshop offers a unique platform for Architects, Developers, Testers, Business Leaders, students, and researchers to gain insights into the evolving landscape of Network Automation technologies, deployment use cases, business models, and engage with industry experts. Please provide your name, affiliation, email address and contact information, so we can send out the zoom link! Co-sponsored by: Baltimore Section Communications Society Agenda: Time (US EST) | Speaker ----------------------------------------- 09:00 – 09:15 AM | Welcome Remarks, Workshop Chair 09:15 – 09:40 AM | COINS:Composable Orchestration of Infrastructure and Network Services, Oleg Berzin, Equinix 09:40 – 10:05 AM | How AI is shaping Telecom, Arvinder Anand, Ericsson 10:05 – 10:30 AM | Building increasingly autonomous networks: Learnings from Google and the Nephio Initiative, Ramesh Nagarajan, Google 10:30 – 10:55 AM | Cloud-native and AI-native Telco Operations, Rajarajan Sivaraj, Mavenir 10:55 – 11:10 AM | Coffee Break 11:10 – 11:35 AM | RAN Automation, Adam Loddeke, AT&T (Keynote) 11:35 – 12:00 PM | Transforming Network Management with Intelligent Automation, Ciaran Johnston, Ericsson 12:00 – 12:25 PM | Automation for 5G Core Networks, Bryan Monaghan, Red Hat 12:25 – 12:50 PM | Automating Cloud Infrastructure and Network Functions with Nephio, Amar Kapadia, Aarna Networks 12:50 – 01:50 PM | Lunch Break 01:50 – 02:15 PM | Clusters, Clusters, Everywhere, Adam Dorenter, Microsoft AON 02:15 – 02:40 PM | AI-Driven Slice Orchestration in 5G and Beyond Networks, Raouf Boutaba, Univ. of Waterloo 02:40 – 03:05 PM | Intent-based Services, Mehmet Toy, Verizon 03:05 – 03:35 PM | Intelligent Programmable 5G Network Automation on AWS, Vara Prasad Talari, AWS 03:35 – 03:50 PM | Coffee Break 03:50 – 04:15 PM | Striking a Balance: Automation for Agile Telco Operations, Padma Sudarsan, VMWare 04:15 - 04:40 PM | O-RAN Network Automation – Architecture and Open-Source Aspects, N.K. Shankaranarayanan, WINLAB 04:40 – 05:05 PM | Telco Cloud Native Automation – Challenges and Opportunities, Sana Tariq, TELUS 05:05 – 05:30 PM | Enabling optimized network operations with data models, open APIs and cloud-native architectures, Raghavan Subramanian, Fujitsu 05:30 – 05:55 PM | IEEE 5G/6G Innovation Testbed, Ashutosh Dutta, JHU/APL and Anwer Al-Dulaimi, Veltris 05:55 – 06:05 PM | Closing Remarks Virtual: https://events.vtools.ieee.org/m/408934

The stochasticity of power injections from weather-dependent renewable energy resources challenges power system operations and increases the risk-exposure of electricity market participants. Defining safety regions for which any operative or market decision must be viable can be an effective and tractable tool to overcoming these challenges. Yet, designing such safety regions from historical data with respect to their impact on the quality of the decision risk is tricky. This seminar discusses two proposals for data-driven robust decision tools in renewable-dominant electric power systems that explicitly internalize probabilistic performance metrics of their solution. First, we discuss an approach to learn prescriptive safety regions for wind power generation. We leverage recent results from differentiable programming to create individual safety intervals for each wind generator that adapt to current grid situations such that they optimize an operator-defined risk target. Second, we discuss a method to internalize adversarial uncertainty sets in electricity market clearing such that consumer risk is minimized. We define these sets using a factor stressing approach inspired from financial engineering and show that consumer risk in terms of excess payments can be effectively reduced at a low overall system cost. Speaker(s): Robert Mieth Agenda: - Talk by Robert Mieth at 11:00 am - Lunch box after the talk at 12:00 pm - You don't have to be an IEEE member to attend this meeting. Room: 202, Bldg: ECE, New Jersey Institute of Technology, 141 Warren St, Newark, New Jersey, United States, 07103

Tethered Ocean Profilers (TOPs) are a new innovation in observing the Arctic Ocean. The first TOPs were deployed during the Beaufort Gyre Exploration Project expedition in 2019. In some ways, TOPs are similar to Ice-Tethered Profilers – there is a profiler that collects data on temperature, salinity, and pressure with a surface package that transmits data onshore via satellite. In contrast to an ITP, TOPs travel up their wire until they bump the bottom of sea ice (compared to an ITP that doesn’t profile shallower than about 7 meters in depth), allowing for the sensors to collect temperature, salinity, and pressure data all the way to the ice-ocean interface – the upper most part of polar oceans that is vastly important with respect to understanding mixing processes and heat exchange between sea ice and the ocean below. Speaker(s): Jeff O'Brien, Agenda: 6:00 pm Introduction 6:05 - 6:45 pm Presentation 6:45 - 7:00 pm Questions 7:00 pm Adjourn Room: 203, Bldg: Harrington - 1st bldg. on right following the football field, 101 Academy Drive , Buzzards Bay , Massachusetts, United States, 02532