—“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 ...
End-to-end predictability of operations is essential for many fixed-priority distributed real-time and embedded (DRE) applications, such as command and control systems, manufactu...
Multiprocessor systems present serious challenges in the design of real-time systems due to the wider variation of execution time of an instruction sequence compared to a uniproce...
In an attempt to cope with time-varying workload, traditional adaptive Time Warp protocols are designed to react in response to performance changes by altering control parameter c...
We study the problem of finding the k most frequent items in a stream of items for the recently proposed max-frequency measure. Based on the properties of an item, the maxfrequen...