Enabling Autonomic Workload Management in Linux

Hubertus Franke, Shailabh Nagar, Chandra Seetharaman, Vivek Kashyap, Haoqiang Zheng, Jiantao Kong

Proceedings of the 1st International Conference on Autonomic Computing (ICAC 2004), New York, NY, May 17-19, 2004, pp. 314-315


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



Columbia University Department of Computer Science