Cloud computing has emerged as a flexible and efficient paradigm to provide IT resources on-demand. However, it has also raised new challenges for infrastructure providers to manage large-scale deployments in an efficient and effective way. In this paper, we present the trade-off between energy consumption and performance. We outline a novel framework for efficient and effective resource consolidation in data centers, building on latest trends in software development practice and recent standards for energy efficiency. In particular, we consider the usage of code annotations from software developers and the adoption of a "green abstraction layer" to model the trade-off between performance and energy consumption.
Enhancing Energy-Efficient Cloud Management through Code Annotations and the Green Abstraction Layer
BOLLA, RAFFAELE;SAMBOLINO, LUIGI;TIGANO, DANILO;REPETTO, MATTEO
2015-01-01
Abstract
Cloud computing has emerged as a flexible and efficient paradigm to provide IT resources on-demand. However, it has also raised new challenges for infrastructure providers to manage large-scale deployments in an efficient and effective way. In this paper, we present the trade-off between energy consumption and performance. We outline a novel framework for efficient and effective resource consolidation in data centers, building on latest trends in software development practice and recent standards for energy efficiency. In particular, we consider the usage of code annotations from software developers and the adoption of a "green abstraction layer" to model the trade-off between performance and energy consumption.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.