From the January-June 2013 issue
The Netflix Challenge: Datacenter Edition
By Christina Delimitrou & Christos Kozyrakis
The hundreds of thousands of servers in modern warehouse-scale systems make performance and efficiency optimizations pressing design challenges. These systems are traditionally considered homogeneous. However, that is not typically the case. Multiple server generations compose a heterogeneous environment, whose performance opportunities have not been fully explored since techniques that account for platform heterogeneity typically do not scale to the tens of thousands of applications hosted in large-scale cloud providers. We present ADSM, a scalable and efficient recommendation system for application-to-server mapping in large-scale datacenters (DCs) that is QoS-aware. ADSM overcomes the drawbacks of previous techniques, by leveraging robust and computationally efficient analytical methods to scale to tens of thousands of applications with minimal overheads. It is also QoS-aware, mapping applications to platforms while enforcing strict QoS guarantees. ADSM is derived from validated analytical models, has low and bounded prediction errors, is simple to implement and scales to thousands of applications without significant changes to the system.
Editorials and Announcements
- Editorial—Introducing the New Editor-in-Chief of the IEEE Computer Architecture Letters
- Editorial—A Message from the New Editor-in-Chief and Introduction of New Associate Editors
Access recently published CAL articles
Subscribe to the RSS feed of latest CAL content added to the digital library.
Sign up for the Transactions Connection newsletter.