The IIoT edge is where digital transformation happens. Will it help or hinder sustainability?

October 13, 2020

Centralised data centers consume a lot of energy, produce a lot of carbon emissions, and cause significant electronic waste. While data centers are seeing a positive trend towards using green energy, an even more sustainable approach is to reduce unnecessary cloud traffic, central computation, and storage as much as possible by shifting computation to the edge. An on-device database, where data can be stored and processed, is a prerequisite for meaningful edge computing. Only relevant data is sent to the server and saved there, reducing the networking traffic and computing power used in data centers, reducing both bandwidth and energy required by data centers. Sessions include -Reducing network traffic and cloud data centre usage through edge computing -Optimising computing at the edge to enhance energy efficiency -Improving utilisation of deployed hardware by adopting a cloud computing strategy -Enabling new use cases that help make the world more sustainable -Defining the options in the cloud versus edge debate

Sessions from this talk

Edge computing aims to deliver superior performance benefits by minimizing latency between client and server, and the dynamic scheduling and routing this requires also offers tremendous benefits in economizing and conserving energy resources. As we move from relatively few, huge datacenters to a diverse population with numerous, distributed points of presence, we can more ably consider the trade-offs and benefits of pursuing sustainable and efficient deployments. In this talk, we will discuss how the mechanisms required to deliver a cost-efficient edge compute experience also support energy-efficiency and conservation objectives. We present a series of experiments illustrating the performance and efficiency gains achieved by using context-aware, location-optimized workload scheduling across a distributed edge vs. a single cloud instance.
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Edge computing is becoming a practical reality for companies who want to deliver high-performance, low-latency services and applications to customers across the spectrum of commercial industries and the consumer sector. What will drive the transition to an edge architecture? When will it occur? And what are the business trade-offs of deploying edge infrastructure? In this session, Keith Rutledge will examine the dynamics between cloud and edge computing and how they complement, rather than, obviate each other. Rutledge will also discuss the impact of IOT and next-gen applications on the proliferation of cloud and edge infrastructure, as well as the potential hurdles that must be overcome to enable end users to take full advantage of predicted capabilities.

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