Yggdrasil can use WiFi on Android, I haven't tried it yet - https://yggdrasil-network.github.io/. Yggdrasil gives you the ability to use TCP/IP applications over its mesh network but doesn't offer any end-user functionality itself. Manyverse can use WiFi for decentralised social networking - https://www.manyver.se/. They're currently in the middle of a rewrite of the backend and a protocol switch away from Secure... - Source: Hacker News / 5 months ago

There are more state-of-the-art routing protocols working to solve this problem for mesh networks. A couple examples of projects I have been involved in: https://yggdrasil-network.github.io/ https://github.com/matrix-org/pinecone. - Source: Hacker News / 5 months ago

Yggdrasil (version 0.1-016): Official implementation for connecting to the Yggdrasil Network from Android. Source: 6 months ago

This new technology provides an advanced IPv6 overlay network designed to create a decentralized and efficient communication platform within the ThreeFold Grid. It offers a novel approach to networking inspired by the resilience and efficiency of nature's mycelium networks. Relevant: a detailed post https://forum.threefold.io/t/introducing-mycelium/4082 why we needed to build it instead of continuing to yggdrasil... - Source: Hacker News / 6 months ago

Does it plan to use yggsdrasil[0] on ipv6 side of things, or is that not even relevant? 0: https://yggdrasil-network.github.io/. - Source: Hacker News / 6 months ago

There are different ways to implement parallel dataflows, such as using parallel data processing frameworks like Apache Hadoop, Apache Spark, and Apache Flink, or using cloud-based services like Amazon EMR and Google Cloud Dataflow. It is also possible to use parallel dataflow frameworks to handle big data and distributed computing, like Apache Nifi and Apache Kafka. Source: about 1 year ago

I'm going to guess you want something like EMR. Which can take large data sets segment it across multiple executors and coalesce the data back into a final dataset. Source: almost 2 years ago

This is exactly the kind of workload EMR was made for, you can even run it serverless nowadays. Athena might be a viable option as well. Source: about 2 years ago

Apache Spark is one of the most actively developed open-source projects in big data. The following code examples require that you have Spark set up and can execute Python code using the PySpark library. The examples also require that you have your data in Amazon S3 (Simple Storage Service). All this is set up on AWS EMR (Elastic MapReduce). - Source: dev.to / over 2 years ago

Check out https://aws.amazon.com/emr/. Source: about 2 years ago