Dynamic cluster reconfiguration for power and performance

Authors:
Eduardo Pinheiro;Ricardo Bianchini;Enrique V. Carrera;Taliver Heath
Affiliations:
Department of Computer Science, Rutgers University;Department of Computer Science, Rutgers University;Department of Computer Science, Rutgers University;Department of Computer Science, Rutgers University
Venue:
Compilers and operating systems for low power
Year:
2003

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Abstract

In this chapter we address power conservation for clusters of workstations or PCs. Our approach is to develop systems that dynamically turn cluster nodes on - to be able to handle the load imposed on the system efficiently - and off - to save power under lighter load. The key component of our systems is an algorithm that makes cluster reconfiguration decisions by considering the total load imposed on the system and the power and performance implications of changing the current configuration. The algorithm is implemented in two common cluster-based systems: a network server and an operating system for clustered cycle servers. Our experimental results are very favorable, showing that our systems conserve both power and energy in comparison to traditional systems.