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What is a Distributed Storage System

Scalegrid

A distributed storage system is foundational in today’s data-driven landscape, ensuring data spread over multiple servers is reliable, accessible, and manageable. Understanding distributed storage is imperative as data volumes and the need for robust storage solutions rise.

Storage 130
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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., Three different 5G phones are used, including a ZTE Axon10 Pro with powerful communication (SDX 50 5G modem) and compute (Qualcomm Snapdragon TM855) capabilities together with 256GB of storage. energy consumption).

Energy 130
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Don’t follow the sun: Scheduling compute workloads to chase green energy can be counter-productive

Adrian Cockcroft

Sunset in Morocco — photo taken by Adrian We want to reduce carbon emissions of our compute and storage workloads, and one way of doing this is to choose a time and place where the “grid mix” of energy consumed is less carbon intensive. The computers you stopped using aren’t following the sun.

Energy 52
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Observability engineering: Getting Prometheus metrics right for Kubernetes with Dynatrace and Kepler

Dynatrace

But often, we use additional services and solutions within our environment for backups, storage, networking, and more. Kubernetes-based efficient power level exporter (Kepler) is a Prometheus exporter that uses ML models to estimate the energy consumption of Kubernetes pods. Labels we don’t need.

Metrics 183
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What is Greenplum Database? Intro to the Big Data Database

Scalegrid

High performance, query optimization, open source and polymorphic data storage are the major Greenplum advantages. Polymorphic Data Storage. Greenplum’s polymorphic data storage allows you to control the configuration for your table and partition storage with the freedom to execute and compress files within it at any time.

Big Data 321
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Reducing Embodied Carbon is Important

ACM Sigarch

Specifically, we agree that one of the grand challenges of sustainable computing is matching electrical load with the availability of low-carbon electricity. Chien, we assert that it is impractical and insufficient to rely on quickly deploying renewable energy to decarbonize manufacturing. Unlike Prof. Chien’s post. Therefore, the $1.4B

Energy 98
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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. ASPLOS’19. One such possible representation is pure analog signalling. Introducing race logic.

Energy 52