Abstract—Large-scale data processing needs of enterprises today are primarily met with distributed and parallel computing in data centers. MapReduce has emerged as an important p...
Hyunseok Chang, Murali S. Kodialam, Ramana Rao Kom...
We consider a virtual computing environment that provides computational resources on demand to users with multiattribute task descriptions that include a valuation, resource (CPU)...
Utility provisioning, Grid resource management, instant copy kiosks, and network transfers provide an exciting new paradigm for data warehouse functions. Grid technologies are fas...
Grid Workflows are emerging as practical programming models for solving large e-scientific problems on the Grid. However, it is typically assumed that the workflow components eith...
In [12] we introduce a novel architecture for data processing, based on a functional fusion between a data and a computation layer. In this demo we show how this architecture is le...
Radu Sion, Ramesh Natarajan, Inderpal Narang, Thom...