We present design and implementation details as well as performance results for two new parallel checkpointing libraries developed by us for parallel MPI applications. The first o...
Large-scale data analysis has become increasingly important for many enterprises. Recently, a new distributed computing paradigm, called MapReduce, and its open source implementat...
— To optimize makespan and reliability for workflow applications, most existing works use list heuristics rather than genetic algorithms (GAs) which can usually give better solut...
Shared machines in opportunistic grids typically have large quantities of unused disk space. These resources could be used to store application and checkpointing data when the mac...
Efficient loop scheduling on parallel and distributed systems depends mostly on load balancing, especially on heterogeneous PC-based cluster and grid computing environments. In thi...