Scholarlink

Distributed systems are everywhere. They include emerging computation and communication environments like the cloud and the Internet of Things (IoT), novel computational architectures such as the ones based on microservices, as well as new development practices like Dev-Ops. Distributed systems also power the training and deployment of Machine Learning, including Generative Machine Learning models based on Large Language Models (LLMs). These distributed systems delivered unprecedented scalability and are now the fabric of our society, as humans are affected by their operation as users, customers and even as components, every day of our lives.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Introduction

  • 章节

  • 发表日期：

    2025年

查看全文
  • Marco Anisetti,
  • Claudio Agostino Ardagna,
  • Ernesto Damiani,
  • Nabil El Ioini

摘要

Distributed systems are everywhere. They include emerging computation and communication environments like the cloud and the Internet of Things (IoT), novel computational architectures such as the ones based on microservices, as well as new development practices like Dev-Ops. Distributed systems also power the training and deployment of Machine Learning, including Generative Machine Learning models based on Large Language Models (LLMs). These distributed systems delivered unprecedented scalability and are now the fabric of our society, as humans are affected by their operation as users, customers and even as components, every day of our lives.