The MapReduce framework is increasingly being used to analyze large volumes of data. One important type of data analysis done with MapReduce is log processing, in which a click-st...
Spyros Blanas, Jignesh M. Patel, Vuk Ercegovac, Ju...
The nearest-neighbour (1NN) classifier has long been used in pattern recognition, exploratory data analysis, and data mining problems. A vital consideration in obtaining good res...
Peer-to-peer (P2P) storage systems rely on data redundancy to obtain high levels of data availability. Among the existing data redundancy schemes, erasure coding is a widely adopte...
—MapReduce has emerged as a popular tool for distributed and scalable processing of massive data sets and is increasingly being used in e-science applications. Unfortunately, the...
Benjamin Gufler, Nikolaus Augsten, Angelika Reiser...
With the rapidly falling price of hardware, and increasingly available bandwidth, the storage technology is seeing a paradigm shift from centralized and managed mode to distribute...