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Edge Computing Orchestration in IoT: Coordinating Distributed Workloads

DZone

In the rapidly evolving landscape of the Internet of Things (IoT), edge computing has emerged as a critical paradigm to process data closer to the source—IoT devices. This proximity to data generation reduces latency, conserves bandwidth and enables real-time decision-making.

IoT 195
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Transforming Telecom With AI/ML: A Deep Dive Into Smart Networks

DZone

The telecommunications industry has become an indispensable part of our interconnected society, fueling various functions ranging from traditional calls to lightning-fast Internet and the ever-expanding Internet of Things ( IoT ). Here's an example of how machine learning can optimize network performance:

Network 161
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Exploring the Basics of EMQX MQTT Broker Clustering: An Introduction

DZone

If you're involved in the IoT (Internet of Things) space or have embarked on any journey involving real-time data transfer, you've probably come across MQTT (Message Queuing Telemetry Transport).

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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

It can scale towards a multi-petabyte level data workload without a single issue, and it allows access to a cluster of powerful servers that will work together within a single SQL interface where you can view all of the data. This feature-packed database provides powerful and rapid analytics on data that scales up to petabyte volumes.

Big Data 321
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AnyLog: a grand unification of the Internet of things

The Morning Paper

AnyLog: a grand unification of the Internet of Things , Abadi et al., The Web provides decentralised publishing and direct access to unstructured data ( searching / querying that data has turned out to be a pretty centralised affair in practice though). Much of the paper concerns a monetisation scheme for decentralised data.

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The journey to modern manufacturing with AWS

All Things Distributed

When I think about how Amazon’s globally connected distribution network has changed in the last decade alone, it’s incredible. From the Internet of Things (IoT) to Artificial Intelligence (AI) and task automation to predictive maintenance technology, the advancements in this space are creating a world of new opportunity.

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Top Software testing trends to look out for in 2022

Testsigma

2015 saw the trend of scriptless testing and IoT focussed methodologies. AI is used to predict and present but not to verify the predicted data etc. Similarly, AI can help in generating test case data that is specific to the module with varying fields and validations. IoT automation testing. Signup now.