Computing at the Edge: Challenges and Priorities for Software Engineering and AI

Abstract

Unlike traditional computing, where processing is mainly performed on local servers and in the cloud, edge computing pushes applications, data, and computing power to the edge of the Internet - to mobile devices, sensors, and end users. The number of devices connected to the Internet, and the volume of data being produced by those devices and used by governments and businesses, is growing far too quickly for traditional computing approaches and data center infrastructures to accommodate.

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Document Details

Document Type
Technical Report
Publication Date
Oct 11, 2021
Accession Number
AD1150272

Entities

People

  • Grace Lewis
  • Ipek Ozkaya
  • Kevin Pitstick
  • Marc Novakouski

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Cyber
  • Energy and Power Technologies
  • Engineered Resilient Systems

DTIC Thesaurus Topics

  • Accuracy
  • Algorithms
  • Artificial Intelligence
  • Commerce
  • Cybersecurity
  • Data Centers
  • Department Of Defense
  • Distributed Computing
  • Edge Computing
  • Emerging Technology
  • Engineering
  • Environment
  • Governments
  • Guarantees
  • Machine Learning
  • Materials
  • Mobile Devices
  • Reliability
  • Security
  • Software Development

Fields of Study

  • Computer science

Readers

  • Agent-Based Social Robotics and Mobile-Assisted Learning in Virtual Environments.
  • Computer Science/Computer Engineering/Data Science/Digital Signal Processing.
  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.