Architecture and Mechanisms of Energy Auto-Tuning

View Sample PDF

Author(s): Sebastian Götz (Technische Universität Dresden, Germany), Claas Wilke (Technische Universität Dresden, Germany), Sebastian Cech (Technische Universität Dresden, Germany)and Uwe Aßmann (Technische Universität Dresden, Germany)
Copyright: 2012
Pages: 29
Source title: Sustainable ICTs and Management Systems for Green Computing
Source Author(s)/Editor(s): Wen-Chen Hu (University of North Dakota, USA)and Naima Kaabouch (University of North Dakota, USA)
DOI: 10.4018/978-1-4666-1839-8.ch003

Keywords: Environment & Agriculture / Environmental Science and Technologies / Information Science Reference / Sustainable Development

Purchase

View Architecture and Mechanisms of Energy Auto-Tuning on the publisher's website for pricing and purchasing information.

Abstract

Energy efficiency of IT infrastructures has been a well-discussed research topic for several decades. The resulting approaches include hardware optimizations, resource management in operating systems, network protocols, and many more. The approach the authors present in this chapter is a self-optimization technique for IT infrastructures, which takes hard- and software components as well as users of software applications into account. It is able to ensure minimal energy consumption for a user request along with a set of non-functional requirements (e.g., the refresh rate of a data extraction tool). To optimize the ratio between utility of end users and the cost in terms of energy consumption, the system needs inherent variability leading to differentiated energy profiles and mechanisms to reconfigure the system at runtime. The authors present their approach called Energy Auto-Tuning (EAT) comprised of these mechanisms and an architecture which automatically tunes the energy efficiency of IT systems.

The IRMA Community

Research IRM

Architecture and Mechanisms of Energy Auto-Tuning

Purchase

Abstract

Related Content

IRMA Sponsors