# Distributed Systems & Parallel Computing

Published articles for Distributed Systems & Parallel Computing.

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## A low-carbon computing platform from your retired phones

DevFeed: [A low-carbon computing platform from your retired phones](<https://devfeed.tech/articles/a-low-carbon-computing-platform-from-your-retired-phones-6739.md>)

Original publisher: [Read original article](<https://research.google/blog/a-low-carbon-computing-platform-from-your-retired-phones/>)

Published: 2026-06-12T17:37:00Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Green Software](<https://devfeed.tech/topics/green-software.md>), [cloud-computing](<https://devfeed.tech/topics/cloud-computing.md>), [datacenter](<https://devfeed.tech/topics/datacenter.md>), [Hardware](<https://devfeed.tech/topics/hardware.md>), [cpu](<https://devfeed.tech/topics/cpu.md>), [Google](<https://devfeed.tech/topics/google.md>)

Tags: [climate-sustainability](<https://devfeed.tech/tags/climate-sustainability.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-computing](<https://devfeed.tech/tags/cloud-computing.md>), [compute](<https://devfeed.tech/tags/compute.md>), [datacenter](<https://devfeed.tech/tags/datacenter.md>), [distributed-systems-parallel-computing](<https://devfeed.tech/tags/distributed-systems-parallel-computing.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [energy](<https://devfeed.tech/tags/energy.md>), [energy-efficiency](<https://devfeed.tech/tags/energy-efficiency.md>), [google](<https://devfeed.tech/tags/google.md>), [hardware](<https://devfeed.tech/tags/hardware.md>), [memory](<https://devfeed.tech/tags/memory.md>), [performance](<https://devfeed.tech/tags/performance.md>), [servers](<https://devfeed.tech/tags/servers.md>), [smartphones](<https://devfeed.tech/tags/smartphones.md>), [storage](<https://devfeed.tech/tags/storage.md>), [sustainability](<https://devfeed.tech/tags/sustainability.md>)

### AI overview

Researchers at the University of California San Diego, with Google's support, are developing a low-carbon cloud computing platform from retired smartphones. A planned datacenter using 2,000 Pixel smartphones aims to provide low-cost computing while reducing the need for newly manufactured hardware and its associated emissions.

### Source excerpt

Climate & Sustainability

## Solving virtual machine puzzles: How AI is optimizing cloud computing

DevFeed: [Solving virtual machine puzzles: How AI is optimizing cloud computing](<https://devfeed.tech/articles/solving-virtual-machine-puzzles-how-ai-is-optimizing-cloud-computing-6876.md>)

Original publisher: [Read original article](<https://research.google/blog/solving-virtual-machine-puzzles-how-ai-is-optimizing-cloud-computing/>)

Published: 2025-10-17T17:56:35Z

Content type: article

Language: en

Sources: [The latest research from Google](<https://devfeed.tech/sources/the-latest-research-from-google.md>)

Topics: [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [cloud-computing](<https://devfeed.tech/topics/cloud-computing.md>), [Algorithms & Theory](<https://devfeed.tech/topics/algorithms-theory.md>), [data centers](<https://devfeed.tech/topics/data-centers.md>), [servers](<https://devfeed.tech/topics/servers.md>), [Provisioning](<https://devfeed.tech/topics/provisioning.md>)

Tags: [2025](<https://devfeed.tech/tags/2025.md>), [ai](<https://devfeed.tech/tags/ai.md>), [algorithms](<https://devfeed.tech/tags/algorithms.md>), [algorithms-theory](<https://devfeed.tech/tags/algorithms-theory.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-computing](<https://devfeed.tech/tags/cloud-computing.md>), [distributed-systems-parallel-computing](<https://devfeed.tech/tags/distributed-systems-parallel-computing.md>), [efficiency](<https://devfeed.tech/tags/efficiency.md>), [google](<https://devfeed.tech/tags/google.md>), [packing](<https://devfeed.tech/tags/packing.md>), [provisioning](<https://devfeed.tech/tags/provisioning.md>), [research](<https://devfeed.tech/tags/research.md>), [resource](<https://devfeed.tech/tags/resource.md>), [scale](<https://devfeed.tech/tags/scale.md>), [server](<https://devfeed.tech/tags/server.md>), [servers](<https://devfeed.tech/tags/servers.md>), [software-systems-engineering](<https://devfeed.tech/tags/software-systems-engineering.md>), [virtual-machines](<https://devfeed.tech/tags/virtual-machines.md>)

### AI overview

Google Research presents LAVA, a scheduling system that uses AI models to continuously predict and adapt to virtual machine lifetimes. Its NILAS, LAVA, and LARS algorithms improve VM allocation and rescheduling in large cloud data centers, reducing stranded resources and improving server efficiency.

### Source excerpt

Algorithms & Theory