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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., The first 5G networks are now deployed and operational. The study is based on one of the world’s first commercial 5G network deployments (launched in April 2019), a 0.5 energy consumption).

Energy 130
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Protecting critical infrastructure and services: Ensure efficient, accurate information delivery this election year

Dynatrace

These components include schools; transportation; energy; water; and communications such as the accuracy, timeliness, and transparency of election reporting. Causes can run the gamut, from coding errors and database slowdowns to hosting or network performance issues.

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What is a Distributed Storage System

Scalegrid

Key Takeaways Distributed storage systems benefit organizations by enhancing data availability, fault tolerance, and system scalability, leading to cost savings from reduced hardware needs, energy consumption, and personnel. This strategy reduces the volume needed during retrieval operations.

Storage 130
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Boosted race trees for low energy classification

The Morning Paper

Boosted race trees for low energy classification Tzimpragos et al., We don’t talk about energy as often as we probably should on this blog, but it’s certainly true that our data centres and various IT systems consume an awful lot of it. So decision trees are essentially networks of threshold functions. ASPLOS’19.

Energy 52
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

In this blog post, we explain what Greenplum is, and break down the Greenplum architecture, advantages, major use cases, and how to get started. It’s architecture was specially designed to manage large-scale data warehouses and business intelligence workloads by giving you the ability to spread your data out across a multitude of servers.

Big Data 321
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Detecting Speech and Music in Audio Content

The Netflix TechBlog

Model Architecture Our modeling choices take advantage of both convolutional and recurrent architectures, which are known to work well on audio sequence classification tasks, and are well supported by previous investigations. All models in our experiments were trained by minimizing binary cross-entropy (BCE) loss.

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Proposal for a Realtime Carbon Footprint Standard

Adrian Cockcroft

This proposal seeks to define a standard for real-time carbon and energy data as time-series data that would be accessed alongside and synchronized with the existing throughput, utilization and latency metrics that are provided for the components and applications in computing environments.

Energy 52