Clustering methods can be either data-driven or need-driven. Data-driven methods intend to discover the true structure of the underlying data while need-driven methods aims at org...
We report on an automated runtime anomaly detection method at the application layer of multi-node computer systems. Although several network management systems are available in th...
We present a technique that masks failures in a cluster to provide high availability and fault-tolerance for long-running, parallelized dataflows. We can use these dataflows to im...
Mehul A. Shah, Joseph M. Hellerstein, Eric A. Brew...
As users interact with the world and their peers through their computers, it is becoming important to archive and later search the information that they have viewed. We present De...
Oren Laadan, Ricardo A. Baratto, Dan B. Phung, Sha...
In modern Web applications, style formatting and layout calculation often account for a substantial amount of local Web page processing time. In this paper1 , we present two novel...
Kaimin Zhang, Lu Wang, Aimin Pan, Bin Benjamin Zhu