Can I read Automated Analysis of Performance and Energy Consumption for Cloud Applications on EtoBox?

Automated Analysis of Performance and Energy Consumption for Cloud Applications by Feifei Chen; John Grundy; Jean-Guy Schneider; Yun Yang; Qiang He is a scholarly article available to read on EtoBox.

What is Automated Analysis of Performance and Energy Consumption for Cloud Applications about?

In cloud environments, IT solutions are delivered to users via shared infrastructure. One consequence of this model is that large cloud data centres consume large amounts of energy and produce significant carbon footprints. A key objective of cloud providers is thus to develop resource provisioning and management solutions at minimum energy consumption while still guaranteeing Service Level Agreements (SLAs). However, a thorough understanding of both system performance and energy consumption patterns in complex cloud systems is imperative to achieve a balance of energy efficiency and acceptable performance. In this paper, we present StressCloud, a performance and energy consumption analysis tool for cloud systems. StressCloud can automatically generate load tests and profile system performance and energy consumption data. Using StressCloud, we have conducted extensive experiments to profile and analyse system performance and energy consumption with different types and mixes of runtime tasks. We collected finegrained energy consumption and performance data with different resource allocation strategies, system configurations and workloads. The experimental results show the correlatio

Author

Feifei Chen; John Grundy; Jean-Guy Schneider; Yun Yang; Qiang He

Publisher

ACM

Published

2014

Language

EN