1 / 5

Green Web Services: Improving Energy Efficiency in Data Centers via Workload Predictions

Green Web Services: Improving Energy Efficiency in Data Centers via Workload Predictions . Massimiliano Menarini, Filippo Seracini , Xiang Zhang, Tajana Rosing , Ingolf Krüger GREENS 2013. Our Message: A Top-down Approach.

turi
Download Presentation

Green Web Services: Improving Energy Efficiency in Data Centers via Workload Predictions

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Green Web Services: Improving Energy Efficiency in Data Centers via Workload Predictions Massimiliano Menarini, Filippo Seracini, Xiang Zhang, TajanaRosing, Ingolf Krüger GREENS 2013

  2. Our Message:A Top-down Approach • The application layer contains fundamental information on the execution of a workflow • There are useful correlations between service calls that we can leverage to optimize the overall behavior of the system • Leverage that information to predict future levels of workload and proactively allocate resources

  3. S.O.PR.A Methodology

  4. Faced Issues • Accuracy of the workload predictions • A small standard deviation of the time dependency is key to save more energy

  5. Open Questions for Further Discussion • Cross-layer monitoring, modeling and prediction • How the different layers (application, middleware, OS, VM, PM) affect resource usage? • How can we model those layers and their interactions so to take into account also resource contention? • How can we measure, and what to measure, at each layer without affecting performance?

More Related