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Alluxio
Alluxio is an open-source virtual distributed file system (VDFS). Initially as research project "Tachyon", Alluxio was created at the University of California, Berkeley's AMPLab as Haoyuan Li's Ph.D. Thesis, advised by Professor Scott Shenker & Professor Ion Stoica. Alluxio sits between computation and storage in the big data analytics stack. It provides a data abstraction layer for computation frameworks, enabling applications to connect to numerous storage systems through a common interface. The software is published under the Apache License. Data Driven Applications, such as Data Analytics, Machine Learning, and AI, use APIs (such as Hadoop HDFS API, S3 API, FUSE API) provided by Alluxio to interact with data from various storage systems at a fast speed. Popular frameworks running on top of Alluxio include Apache Spark, Presto, TensorFlow, Trino, Apache Hive, and PyTorch, etc. Alluxio can be deployed on-premise, in the cloud (e.g. Microsoft Azure, AWS, Google Compute ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
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Haoyuan Li
Haoyuan (H.Y.) Li is a computer scientist and entrepreneur specializing in distributed systems, big data, and cloud computing. He is best known for proposing Virtual Distributed File System (VDFS), and creating an open-source data orchestration system, Alluxio. He is the Founder, Chairman, and CEO of Alluxio, Inc, a company commercializing the Alluxio Data Orchestration Technology. He is also an adjunct professor at Peking University. He is a frequent speaker on the topic of AI, Big Data, Cloud Computing, and Open Source at conferences. Biography Li was born and raised in China. He attended Peking University, where he received a BS in Computer Science. While at university, he participated in programming contests representing Peking University, and placed 11th worldwide (bronze medal) in ACM ICPC 2005 and 13rd place worldwide in 2006. He then studied at Cornell University, where he received a MS in Computer Science. He received his Computer Science PhD from the UC Berkeley AMP ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |