In today’s world, an increasing number of applications such as Industrial IoT, Autonomous Driving, Video Streaming, Cloud Gaming, AR/VR can be made possible by solutions supporting high bandwidth and low latency. With the countries starting to roll out 5G deployments, the question that lies in front of us is how to achieve its use-case of Ultra-Reliable Low-Latency Communications (URLLC). Edge Cloud which is interconnected storage and compute resources physically situated much closer to end-users can give us an answer to enable these technological advancements. But at which area in the network is the edge cloud located? In the pandemic, when the world moved to stream OTT video from the comfort of their homes, the content providers would have deployed storage caches of their famous content in CSP edge central offices or MSO head-ends to reduce long-haul backhaul transport costs. But is this the only edge location? With many definitions of edge computing, different factors such as scalability, throughput, latency, security need to be evaluated to decide where to host a given application among the several access points that may construct the edge of a network. Multi-Access Edge Computing (MEC) is an architectural standard for edge computing. MEC architecture can be deployed on radio access network (RAN) sites at the farthest edge of the network and can host the analytics applications close to the source, processing huge amounts of data locally, enabling greater performance and significant savings. The key to enable the real-time era lies in front of us. It’s time to dream of the new avenues that high throughputs and ultra-low latencies could bring to us to transform big ideas into powerful realities.
In this session, let’s understand the industry drivers, challenges, and opportunities of MEC, and prepare for the shift from centralized cloud functionality to the edge. The proposed session would be a presentation with end-users and enterprises as the target audience.
We will find answers to the questions such as:
Network considerations and the need to adopt the edge cloud.
Why 5G and edge computing are linked?
Are we ready to handle the accelerated growth of traffic in the metro part of the network and how to meet the core-to-metro capacity inversion?
How multi-access edge computing (MEC) helps to unlock the full potential of the Industrial Internet of Things.
EMBEDDED SOFTWARE ENGINEER at CIENA
With a Bachelor of Technology (B.Tech.) degree in Electronics and Communications Engineering and a post-graduate degree in Networking, Richa is as technical as you can get. She has vast experience working in the telecom and optical networking domain as a professional embedded software engineer at Ciena. She has also worked at Cisco Research and Development offshore center and had worked for the development of products on SONET, OTN, ETHERNET technologies from scratch. She has worked in the data plane area for the bring-up of line cards, FPGAs, and ASICs device drivers and has been a part of the customer response team handling live customer network issues on the deployed products.
She was the chairperson of the IEEE Women in Engineering branch of her alma mater and headed/hosted various seminars, presentations, and organized state/national events.
She has technical papers published in national conferences and has been conferred with the best orator award at many gatherings. She received an outstanding student volunteer award in the Women in Engineering field in AGM-2011 by the Delhi section of IEEE, Institute of Electrical and Electronics Engineers. Being an all-rounder, she believes in investing in knowledge and sharing with other women in tech via communities. She was a speaker at the past IoT Slams where she shared her insights regarding 5G, IoT, Smart Grids, and optical technologies. Richa is based out of New Delhi, India.
5G, Edge Computing, IIoT, Autonomous Driving, Connectivity, MEC, URLLC
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