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Emergent distributed environments going beyond cloud computing offer new kinds of processing for massive and heterogeneous data, but also pose new challenges for data management. These challenges include among others: load balancing, dynamic data allocation on computing nodes, fault tolerance, handling low quality data, data and processes replication, resource provisioning, buffer management, query processing and optimization on different types of hardware, transaction management, and minimization of power usage. The BiDEDE workshop addresses these and other challenges related to building post-cloud distributed environments for data processing.
Cudré-Mauroux et al. (Thu,) studied this question.