Wireless Computing Architecture II

Abstract

In the next decade we will need large-scale and sophisticated information processing, such as near real-time signal analysis, machine learning and query processing, at the tactical edge that integrate sensor and intelligence collection. This calls for on-demand instantly deployable computing resources to support on-going local operations in the field. Wireless computing and networking technologies that can cope with the relatively modest bandwidths of wireless links while being able to take advantage of their broadcast mature will need to be developed. We have obtained new results capable of addressing aspects of these challenges. First, our methodology of finited-state modeling can provide wireless link models for unmanned aerial vehicles (UAVs) in emulating UAV-based airborne computing systems. Second, our speculative pre-fetching approach hides I/O latency for situations where I/O operations with distant nodes can be a performance bottleneck, as in the case when a UAV interacts with other UAVs or ground nodes.

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 2010
Accession Number
ADA533077

Entities

People

  • H.t. Kung

Organizations

  • Harvard University

Tags

Communities of Interest

  • Autonomy

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Aircrafts
  • Cloud Computing
  • Computer Architecture
  • Computer Networks
  • Computing System Architectures
  • Data Centers
  • Flight Paths
  • Global Positioning Systems
  • Information Processing
  • Measurement
  • Network Protocols
  • Packet Loss
  • Unmanned Aerial Vehicles
  • Wireless Communications
  • Wireless Networks

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Educational Psychology
  • Tactical Satellite Communications Systems Engineering.

Technology Areas

  • AI & ML
  • AI & ML - Autonomous Systems
  • AI & ML - DoD AI Strategy
  • Autonomy
  • Autonomy - UAVs