Parallel dataflow programming frameworks such as Map-Reduce are increasingly being used for large scale data analysis on computing clouds. It is therefore becoming important to a...
Data services for the Grid have focussed so far primarily on virtualising access to distributed databases, and encapsulating file location. However, orchestration of services requ...
Andrew Woolf, Ray Cramer, Marta Gutierrez, Kerstin...
Abstract. Edge-server architectures are widely used to improve webapplication performance for non-transactional data. However, their use with transactional data is complicated by t...
Tags in social tagging systems store meaning for the taggers who have entered them, and other users often share this understanding. The result of this, a folksonomy, is typically ...
As the number of cores inside compute clusters continues to grow, the scalability of MPI (Message Passing Interface) is important to ensure that programs can continue to execute o...