The Semantic Web graph is growing at an incredible pace, enabling opportunities to discover new knowledge by interlinking and analyzing previously unconnected data sets. This confr...
—With the exponential growth in the amount of data that is being generated in recent years, there is a pressing need for applying machine learning algorithms to large data sets. ...
Ad-hoc data processing has proven to be a critical paradigm for Internet companies processing large volumes of unstructured data. However, the emergence of cloud-based computing, ...
The rise of ad-hoc data-intensive computing has led to the development of data-parallel programming systems such as Map/Reduce and Hadoop, which achieve scalability by tightly cou...
This paper takes a renewed look at the problem of managing intermediate data that is generated during dataflow computations (e.g., MapReduce, Pig, Dryad, etc.) within clouds. We d...
Steven Y. Ko, Imranul Hoque, Brian Cho, Indranil G...