Data parallel programs are sensitive to the distribution of data across processor nodes. We formulate the reduction of inter-node communication as an optimization on a colored gra...
Abstract. The sharing of content by communities of users (e.g., scientists) in a P2P context remains cumbersome. We argue that main reasons for this is the lack of calculus and alg...
Privacy, preservation and performance (“3 P’s”) are central design objectives for distributed data management systems. However, these objectives tend to compete with one ano...
The Earth Observing System (EOS) Data and Information System (EOSDIS) is perhaps one of the most important examples of a large-scale, geographicallydistributed, and data-intensive...
Due to the huge amount of integrated devices and sensors in everyday objects ubiquitous systems are in vicinity and will be deployed in large scales in the near future. We expect t...