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Policy-Based Autonomic Storage Allocation

  • Murthy Devarakonda
  • David Chess
  • Ian Whalley
  • Alla Segal
  • Pawan Goyal
  • Aamer Sachedina
  • Keri Romanufa
  • Ed Lassettre
  • William Tetzlaff
  • Bill Arnold
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2867)

Abstract

The goal of autonomic storage allocation is to achieve management of storage resources, including allocation, performance monitoring, and hotspot elimination, by specifying comparatively high-level goals, rather than by means of low-level manual steps. The process of automation should allow specification of policies as administrator specified constraints under which the resources are managed. This paper describes the system design and implementation experiences from a prototype autonomic storage manager being developed in IBM Research. The prototype is being developed for a storage network that includes a SAN switch, an IBM Enterprise Storage Subsystem, and AIX servers. Our early experience from this prototype implementation is that there are a large number of mundane manual steps in storage management and it is feasible to automate them such that the automation is driven by higher-level goals under policy control. However, to manage heterogeneous storage a standard ontology is needed for specification of goals and how to achieve them.

Keywords

Service Class Logical Volume Autonomic Computing Configuration Information Rule Engine 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Murthy Devarakonda
    • 1
  • David Chess
    • 1
  • Ian Whalley
    • 1
  • Alla Segal
    • 1
  • Pawan Goyal
    • 1
  • Aamer Sachedina
    • 1
  • Keri Romanufa
    • 1
  • Ed Lassettre
    • 1
  • William Tetzlaff
    • 1
  • Bill Arnold
    • 1
  1. 1.IBM Corporation 

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