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With the development of Internet technology and Cloud Computing, more and more applications have to be confronted with the challenges of big data. NoSQL Database is fit to the management of big data because of the characteristics of high scalability, high availability, and high fault-tolerance. The data partitioning strategy plays an important role in the NoSQL database. The existing data partitioning...
MapReduce is an important programming paradigm on big data-intensive computing using share-nothing cluster containing ten of thousands of nodes, in which computing nodes also acts as storage nodes. Since tasks belonging to different jobs are physical executing entities scattered among the whole cluster, task scheduling plays a crucial role in MapReduce systems. For data consolidation and utilization,...
In recent years, MapReduce parallel computing model has gained lots of attentions from industry and academia. In Google, Yahoo, Facebook, etc., it has played a very good effect, which greatly simplifies the design of large-scale data-intensive applications. MapReduce-based systems were originally used to manage massive unstructured and semi-structured data, for example: to generate the inverted index,...
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