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    Home»Machine Learning»25 Research Papers That Shaped Modern Computing
    Machine Learning

    25 Research Papers That Shaped Modern Computing

    Team_AIBS NewsBy Team_AIBS NewsApril 8, 2025No Comments1 Min Read
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    The evolution of pc science has been profoundly influenced by groundbreaking analysis papers that launched novel ideas and architectures.

    These works have laid the muse for contemporary computing techniques, databases, and synthetic intelligence.

    Beneath is an in depth compilation of 25 seminal analysis papers, together with their authors, publication dates, summaries, and hyperlinks to the unique paperwork.

    • Authors: Giuseppe DeCandia, Deniz Hastorun, Madan Jampani, Gunavardhan Kakulapati, Avinash Lakshman, Alex Pilchin, Swaminathan Sivasubramanian, Peter Vosshall, Werner Vogels​
    • Publication Date: October 2007​
    • Abstract: This paper presents the design and implementation of Dynamo, a extremely accessible and scalable distributed knowledge retailer utilized by Amazon to handle state companies requiring excessive reliability. Dynamo emphasizes fault tolerance and permits for eventual consistency, making it appropriate for functions needing excessive availability.​
    • Hyperlink: Dynamo: Amazon’s Highly Available Key-Value Store
    • Authors: Sanjay Ghemawat, Howard Gobioff, Shun-Tak Leung​
    • Publication Date: October 2003​
    • Abstract: This paper introduces the Google File System (GFS), a scalable distributed file system designed to supply environment friendly, dependable entry to knowledge utilizing giant clusters of commodity {hardware}. GFS is optimized for giant data-intensive functions and gives fault tolerance whereas operating on cheap {hardware}.​
    • Hyperlink: The Google File System



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