Water is essential for life and is threatened by the pollution and contamination generated by
human activity and industries. Fluoride contamination of water is a serious problem in the …

Context: In recent years, the valuable knowledge that can be retrieved from petabyte scale
datasets–known as Big Data–led to the development of solutions to process information …

We present an automatic skew mitigation approach for user-defined MapReduce programs
and present SkewTune, a system that implements this approach as a drop-in replacement …

The effectiveness and scalability of MapReduce-based implementations of complex data-
intensive tasks depend on an even redistribution of data between map and reduce tasks. In …

This paper discusses three techniques useful in relaxing the constraints imposed by control
flow on parallelism: control dependence analysis, executing multiple flows of control …

MapReduce offers a promising programming model for big data processing. Inspired by
functional languages, MapReduce allows programmers to write functional-style code which …

While many protocols for sensor network security provide confidentiality for the content of
messages, contextual information usually remains exposed. Such information can be critical …

Spacecraft, space-borne robotic systems, and manufacturing equipment often utilize
lightweight materials and configurations that give rise to vibration problems. Prior research …

MapReduce is an effective tool for parallel data processing. One significant issue in practical
MapReduce applications is data skew: the imbalance in the amount of data assigned to …

MapReduce has emerged as a popular tool for distributed and scalable processing of
massive data sets and is being used increasingly in e-science applications. Unfortunately …