Event-Driven Application Brownout: Reconciling High Utilization and Low Tail Response Times
2015 (English)In: 2015 International Conference on Cloud and Autonomic Computing (ICCAC), 2015, 1-12 p.Conference paper (Refereed)
Data centers currently waste a lot of energy, due to lack of energy proportionality and low resource utilization, the latter currently being necessary to ensure application responsiveness. To address the second concern we propose a novel application-level technique that we call event-driven Brownout. For each request, i.e., in an event-driven manner, the application can execute some optional code that is not required for correct operation but desirable for user experience, and does so only if the number of pending client requests is below a given threshold. We propose several autonomic algorithms, based on control theory and machine learning, to automatically tune this threshold based on measured application 95th percentile response times. We evaluate our approach using the RUBiS benchmark which shows a 11-fold improvement in maintaining response-time close to a set-point at high utilization compared to competing approaches. Our contribution is opening the path to more energy efficient data-centers, by allowing applications to keep response times close to a set-point even at high resource utilization.
Place, publisher, year, edition, pages
2015. 1-12 p.
graceful performance degradation, event-driven control, machine learning, tail response time
Computer and Information Science
IdentifiersURN: urn:nbn:se:umu:diva-112415DOI: 10.1109/ICCAC.2015.25OAI: oai:DiVA.org:umu-112415DiVA: diva2:877493
Conference on Cloud and Autonomic Computing (ICCAC), Boston, USA
FunderSwedish Research Council