Recent research literature on sensor network databases has focused on finding ways to perform in-network aggregation of sensor readings to reduce the message cost. However, with t...
Data sparsity, scalability and prediction quality have been recognized as the three most crucial challenges that every collaborative filtering algorithm or recommender system conf...
Irregular and iterative I/O-intensive jobs need a different approach from parallel job schedulers. The focus in this case is not only the processing requirements anymore: memory, ...
Routers built around a single-stage crossbar and a centralized scheduler do not scale, and (in practice) do not provide the throughput guarantees that network operators need to ma...
Isaac Keslassy, Shang-Tse Chuang, Kyoungsik Yu, Da...
This work is based on our philosophy of providing interlayer system-level power awareness in computing systems [26, 27]. Here, we couple this approach with our vision of multipart...
Osman S. Unsal, Israel Koren, C. Mani Krishna, Csa...