Runtime Assurance for Big Data Systems

Abstract

Big Data systems have a very dynamic runtime context assurance by design is still necessary but not sufficient New and changing data sources sensors, humans, systems Evolving user workloads driven by new missions and new data Shared infrastructure variable quality of service

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2015
Accession Number
AD1147089

Entities

People

  • John Klein

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Anomaly Detection
  • Automation
  • Big Data
  • Change Detection
  • Contracts
  • Data Sets
  • Demographic Cohorts
  • Department Of Defense
  • Detectors
  • Engineering
  • Guarantees
  • Infrastructure
  • Language
  • Machine Learning
  • Materials
  • Measurement
  • Software Development
  • Universities
  • Workload

Fields of Study

  • Computer science
  • Engineering

Readers

  • Geospatial Intelligence and Artificial Intelligence Analytics
  • Software Engineering.
  • Systems Analysis and Design