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

The Morning Paper

Understanding operational 5G: a first measurement study on its coverage, performance and energy consumption , Xu et al., There are high hopes for 5G , for example unlocking new applications in UHD streaming and VR, and machine-to-machine communication in IoT. The first 5G networks are now deployed and operational.

Energy 130
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

Greenplum Database is an open-source , hardware-agnostic MPP database for analytics, based on PostgreSQL and developed by Pivotal who was later acquired by VMware. Greenplum interconnect is the networking layer of the architecture, and manages communication between the Greenplum segments and master host network infrastructure.

Big Data 321
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Noon Lights — an IoT Review

Adrian Cockcroft

I’ve been gradually installing some IoT automation at home over the last few months, and was looking for a lighting solution to fit a fairly complex situation. I wanted a system that still works manually and during network outages, and didn’t really want to have a separate hub to gateway the signal.

IoT 40
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Progress Delayed Is Progress Denied

Alex Russell

Real-time network protocols for enabling videoconferencing, desktop sharing, and game streaming applications. Modern, asynchronous network APIs that dramatically improve performance in some situations. A tool for reliably sending data — for example, chat and email messages — in the face of intermittent network connections.

Media 145
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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. This can quickly saturate the network (and bog down the client). We have seen this computing model’s utility in countless applications.

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Use Parallel Analysis – Not Parallel Query – for Fast Data Access and Scalable Computing Power

ScaleOut Software

Whether it’s ecommerce shopping carts, financial trading data, IoT telemetry, or airline reservations, these data sets need fast, reliable access for large, mission-critical workloads. This can quickly saturate the network (and bog down the client). We have seen this computing model’s utility in countless applications.