In this paper, we propose a new way to automatically model and predict human behavior of receiving and disseminating information by analyzing the contact and content of personal c...
Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming...
— Recent advances in machine learning and adaptive motor control have enabled efficient techniques for online learning of stationary plant dynamics and it’s use for robust pre...
Learning useful and predictable features from past workloads and exploiting them well is a major source of improvement in many operating system problems. We review known parallel ...
Abstract— Ensuring performance isolation and differentiation among workloads that share a storage infrastructure is a basic requirement in consolidated data centers. Existing man...
Magnus Karlsson, Christos T. Karamanolis, Xiaoyun ...
We present a novel single source peer-to-peer multicast architecture called GridMedia which mainly consists of 1) multi-sender based overlay multicast protocol (MSOMP) and 2) mult...
Meng Zhang, Yun Tang, Li Zhao, Jian-Guang Luo, Shi...