Real-time capacity of networked data fusion

Forrest Iandola, Fatemeh Saremi, Tarek Abdelzaher, Praveen Jayachandran, Aylin Yener

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In networked data fusion systems, results must be produced by end-to-end deadlines. As such, latency is an important attribute contributing to quality-of-information (QoI) in these systems. A key question is how much work can be completed on time given some amount of distributed resources and the logical workflow topology of the data fusion graph. To answer this question, this paper presents the concept of realtime capacity; a performance metric in line with the recently introduced operational information content capacity (OICC) of a networked data fusion system. It extends results developed by the authors recently in the real-time systems community to analyze the capacity of various data fusion workflow topologies. A simple closed-form expression for a topology-dependent realtime capacity bound is derived and is shown to be accurate via extensive simulations.

Original languageEnglish (US)
Title of host publicationFusion 2011 - 14th International Conference on Information Fusion
StatePublished - Sep 13 2011
Event14th International Conference on Information Fusion, Fusion 2011 - Chicago, IL, United States
Duration: Jul 5 2011Jul 8 2011

Publication series

NameFusion 2011 - 14th International Conference on Information Fusion

Other

Other14th International Conference on Information Fusion, Fusion 2011
CountryUnited States
CityChicago, IL
Period7/5/117/8/11

Keywords

  • Capacity
  • Data fusion
  • Latency
  • Pipelines

ASJC Scopus subject areas

  • Information Systems

Fingerprint Dive into the research topics of 'Real-time capacity of networked data fusion'. Together they form a unique fingerprint.

Cite this