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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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AnyLog: a grand unification of the Internet of things

The Morning Paper

AnyLog: a grand unification of the Internet of Things , Abadi et al., Despite the "Internet of Things" featuring prominently in the title, there’s nothing particular to IoT in the technical solution at all. Publishers are the producers of the actual data to be served by the network. CIDR’20. web pages).

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New Network Fallacies

Tim Kadlec

I remember reading articles about how 3G connectivity was going to transform performance and, more generally, the way we used the internet altogether. ” The fallacy of networks, or new devices for that matter, fixing our performance woes is old and repetitive. We’re not talking months in most places, but years.

Network 61
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Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption

The Morning Paper

We are standing on the eve of the 5G era… 5G, as a monumental shift in cellular communication technology, holds tremendous potential for spurring innovations across many vertical industries, with its promised multi-Gbps speed, sub-10 ms low latency, and massive connectivity. The first 5G networks are now deployed and operational.

Energy 130
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Towards a Reliable Device Management Platform

The Netflix TechBlog

The challenge, then, is to be able to ingest and process these events in a scalable manner, i.e., scaling with the number of devices, which will be the focus of this blog post. When a new hardware device is connected, the Local Registry detects and collects a set of information about it, such as networking information and ESN.

Latency 213
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What Is a Workload in Cloud Computing

Scalegrid

This is sometimes referred to as using an “over-cloud” model that involves a centrally managed resource pool that spans all parts of a connected global network with internal connections between regional borders, such as two instances in IAD-ORD for NYC-JS webpage DNS routing. Additionally.

Cloud 130
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The Performance Inequality Gap, 2024

Alex Russell

It's time once again to update our priors regarding the global device and network situation. seconds on the target device and network profile, consuming 120KiB of critical path resources to become interactive, only 8KiB of which is script. What's changed since last year? and 75KiB of JavaScript. These are generous targets.