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Power Aware Page Allocation

By Alvin R. Lebeck, Xiaobo Fan, Heng Zeng and Carla Ellis

Abstract

One of the major challenges of post-PC computing is the need to reduce energy consumption, thereby extending the lifetime of the batteries that power these mobile devices. Memory is a particularly important target for efforts to improve energy efficiency. Memory technology is becoming available that offers power management features such as the ability to put individual chips in any one of several different power modes. In this paper we explore the interaction of page placement with static and dynamic hardware policies to exploit these emerging hardware features. In particular, we consider page allocation policies that can be employed by an informed operating system to complement the hardware power management strategies. We perform experiments using two complementary simulation environments: a tracedriven simulator with workload traces that are representative of mobile computing and an execution-driven simulator with a detailed processor/memory model and a more memoryintensive set of be..

Year: 2000
OAI identifier: oai:CiteSeerX.psu:10.1.1.32.3737
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