Data Grids provide geographically distributed resources for large-scale data-intensive applications that generate large data sets. However, ensuring efficient access to such huge...
Houda Lamehamedi, Zujun Shentu, Boleslaw K. Szyman...
Testing and benchmarking of stream processing systems requires workload representative of real world scenarios with myriad of users, interacting through different applications ove...
Eric Bouillet, Parijat Dube, David George, Zhen Li...
The objective of this paper is to present how to design a system that can accommodate additional functionality with either no changes to the design or adding architectural modules...
Wei Zheng, Jike Chong, Claudio Pinello, Sri Kanaja...
Multiple applications that execute concurrently on heterogeneous platforms compete for CPU and network resources. In this paper, we consider the problem of scheduling applications ...
Olivier Beaumont, Larry Carter, Jeanne Ferrante, A...
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...