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

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

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.

Original languageEnglish (US)
Pages (from-to)143-154
Number of pages12
JournalLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2867
StatePublished - Dec 1 2003
Externally publishedYes

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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