Enabling Autonomic Workload Management in Linux

  • Authors:
  • Hubertus Franke;Chandra Seetharaman;Vivek Kashyap;Haoqiang Zheng;Jiantao Kong

  • Affiliations:
  • IBM Corp.;IBM Corp.;IBM Corp.;Columbia University;Georgia Tech University

  • Venue:
  • ICAC '04 Proceedings of the First International Conference on Autonomic Computing
  • Year:
  • 2004

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Abstract

Complexity reduction in workload management is driving the development of goal-oriented workload managers (WLMs). Simultaneously, server consolidation of workloads with dynamically changing resource demands calls for these WLMs to be increasingly efficient in managing resources. We propose the Class-based Kernel Resource Management (CKRM) framework, implemented in Linux, for operating systems to these requirements.