Summary: Implementing Global Memory Management in a Workstation Cluster
Michael J. Feeley, William E. Morgan, y Frederic H. Pighin, Anna R. Karlin, Henry M. Levy
Department of Computer Science and Engineering
University of Washington
and
Chandramohan A. Thekkath
DEC Systems Research Center
Abstract
Advances in network and processor technology have greatly
changed the communication and computational power of local­area
workstation clusters. However, operating systems still treat work­
station clusters as a collection of loosely­connected processors,
where each workstation acts as an autonomous and independent
agent. This operating system structure makes it difficult to exploit
the characteristics of current clusters, such as low­latency commu­
nication, huge primary memories, and high­speed processors, in
order to improve the performance of cluster applications.
This paper describes the design and implementation of global
memory management in a workstation cluster. Our objective is to
use a single, unified, but distributed memory management algo­

Source: Anderson, Richard - Department of Computer Science and Engineering, University of Washington at Seattle
Newhall, Tia - Computer Science Department, Swarthmore College

Collections: Computer Technologies and Information Sciences