Self-*Storage: Brick-based storage with automated administration

Abstract

This white paper describes a new project exploring the design and implementation of self-* storage systems: self-organizing, self-configuring, self-tuning, self-healing, self-managing systems of storage bricks. Borrowing organizational ideas from corporate structure and automation technologies from Artificial Intelligence and control systems, we hope to dramatically reduce the administrative burden currently faced by data center administrators. Further, compositions of lower cost components can be utilized, with available resources collectively used to achieve high levels of reliability, availability, and performance.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2003
Accession Number
ADA461187

Entities

People

  • Andrew J. Klosterman
  • Gregory R. Ganger
  • John D. Strunk

Organizations

  • Carnegie Mellon University

Tags

Communities of Interest

  • Autonomy
  • Human Systems

DTIC Thesaurus Topics

  • Commerce
  • Computer Science
  • Computers
  • Data Centers
  • Data Mining
  • Data Storage Systems
  • Fault Tolerance
  • Hierarchies
  • Information Processing
  • Information Science
  • Infrastructure
  • Models
  • Prototypes
  • Servers (Computer Hardware)
  • Standards
  • Statistics
  • Workload

Readers

  • Database Systems and Applications
  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy