—“Big Data” in map-reduce (M-R) clusters is often fundamentally temporal in nature, as are many analytics tasks over such data. For instance, display advertising uses Behavio...
Badrish Chandramouli, Jonathan Goldstein, Songyun ...
Heterogeneous information networks that contain multiple types of objects and links are ubiquitous in the real world, such as bibliographic networks, cyber-physical networks, and ...
We present an effective optimization framework for general SQLlike map-reduce queries, which is based on a novel query algebra and uses a small number of higher-order physical ope...
This paper describes QUEM, a method for assessing the skill level of a knowledge-based system based on the quality of the solutions it produces. QUEM is demonstrated by using it t...
Applications of the future will need to support large numbers of clients and will require scalable storage systems that allow state to be shared reliably. Recent research in distr...
Liuba Shrira, Barbara Liskov, Miguel Castro, Atul ...