Failures of any type are common in current datacenters, partly due to the higher scales of the data stored. As data scales up, its availability becomes more complex, while differe...
Nicolas Bonvin, Thanasis G. Papaioannou, Karl Aber...
Lattice-Boltzmann (LB) methods are a well-known technique in the context of computational fluid dynamics. By nature, they can easily be parallelized but their adaptation to the Gr...
We propose a general framework to index very large datasets of spatial data in a distributed system. Our proposal is built on the recently proposed Scalable Distributed Rtree (SD-...
Abstract. In this paper we investigate automated methods for externalizing internal memory data structures. We consider a class of balanced trees that we call weight-balanced parti...
Pankaj K. Agarwal, Lars Arge, Octavian Procopiuc, ...
We study several transparent techniques for scaling dynamic content web sites, and we evaluate their relative impact when used in combination. Full transparency implies strong dat...