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Welcome Remarks - Tina Tsou, TSC-Chair, Akraino Edge Stack

Introduction to Akraino  - Akraino community member (TBD)

Speaker: Iino Hatsumi, Fujitsu

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Title of Talk:  IoT Robotics

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MingXuan Li, China Unicom

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Abstract: With an increasing interest in new use cases such as smart manufacturing, augmented reality and a multitude of IoT applications, there is a need for an infrastructure with edge computing capabilities. Akraino Edge stack is an open source initiative to bring edge computing capabilities to the service provider industry and enables new revenue streams. This presentation highlights Ericsson vision on edge computing and Ericsson’s contributions in the Akraino Edge stack community, specifically Network Cloud Family Blueprints.

Bio: Chitti Nimmagadda is a Senior Director - Network Virtualization at the Ericsson Digital Services Business Unit. He has over 20 years of experience in software industry, and his current focus and passion is in bringing the cloud native technologies to the telecom industry. Most recently, he was a Principal Architect at Citrix and helped build the high performance datacenter networking product NetScaler SDX from the ground up using virtualization technologies. Previously, he worked in many technology areas, including embedded systems, real time operating systems and data warehousing. Chitti holds a Master’s degree in Computer Science Engineering from the Indian Institute of Technology, Kanpur.

Runs EdgeFaaS on SONic in Cassini blueprint

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It used to be the app store model to open up capabilities, but hardware vendors are always at the bottom. Provide a BSP or SDK for the operating system layer to call, and then encapsulate a PaaS layer to share. But computing network convergence devices are not the same, through the EdgeFAAS to the edge computing network fusion capabilities are open. We've used SONiC. Such converged computing devices will be deployed in large numbers in industrial parks, small data centers and home gateways. It has the ability of network access convergence and computing power scheduling. EdgeFAAS opens up the ability to edge scenarios. 
AI learns in two methods, supervised and unsupervised. In unsupervised machine learning, the AI takes inputs and creates a response. Overtime, the AI slowly realizes the best responses. In supervised learning, the AI takes an input and gives an exact output. This machine learning teaches the AI what is wrong and right, so in the future, it can distinguish by itself.

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Speaker: Srinivasan Ramanujam, Intel 

Title of Talk:  Integrated Cloud Native NFV (ICN) stack Blueprint

Bio: As Market development manager for Intel Network Platforms group (NPG), Srini drives Network and Edge Cloud transformation with Indian Communication Service providers and ecosystem partners leading to 5G build-out.

Srini brings strong technical and domain expertise having worked over 20+ years of experience in architecting and building Telecom Software Products & Services. He had worked in multiple wireless domains like 3G, WiMAX, LTE, 5G and network management solutions. His specialties include Product management in networking domain. He had been associated with Alcatel Lucent-CDOT, Radisys, Altran, Wipro and TCS.

Srini has done Bachelor of Electrical & Electronics Engineering from A.C.Tech Government College of Engineering and Post Graduate Diploma in Business Administration from NMIMS

Speaker: Khemendra Kumar, Huawei

Title of Talk: Enterprise Edge Lightweight and IOT (ELIOT) Blueprint 

Bio: Khemendra Kumar has 11+ years of experience in embedded, networking, SDN and Cloud/Edge computing. He worked in FD.io and DPDK community for VPP performance optimization, porting on multiple platforms, lightweight Host stacks like DMM with LWIP etc. Currently he is active in Akraino community to build lightweight Edge stack ELIOT for resource constraints devices. In Akraino, he is Project Team Lead (PTL) for Enterprise Edge Lightweight and IOT (ELIOT) Blueprint and is a Akrino Technical Steering Committee (TSC) member.

Speaker: Deepthi V V, Lumina Networks 

Title of Talk:Composable Network Services for the Edge

Abstract: The next generation infrastructure needs composable architecture to realize the needs of 5G/Edge requirements. This talk will explore a step by step approach to interconnect Edge compute applications to core network functions using open source tools. The talk will also delve into scaling such a solution using cloud native technologies.

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Bio: Bio: Deepthi V V is a Senior Software Engineer at Lumina Networks. She has experience in working with open source projects such as OpenDaylight and Openstack and has worked on OpenDaylight since its inception. At Lumina, she is developing applications on OpenDaylight for data center networks.

Closing Remarks