Nowadays, big data systems are being widely adopted by many domains for offering
effective data solutions, such as manufacturing, healthcare, education, and media. Big data …

Application delays caused by abnormal tasks arecommon problems in big data computing
frameworks. Anabnormal task in Spark, which may run slowly withouterror or warning logs …

As big data processing is being widely adopted by many domains, massive amount of
generated data become more reliant on the parallel computing platforms for analysis …

Data have been generated and collected at an accelerating pace. Hadoop has made
analyzing large scale data much simpler to developers/analysts using commodity hardware …

One of the major scientific challenges and societal concerns is to make informed decisions
to ensure sustainable groundwater availability when facing deep uncertainties. A major …

This paper introduces the idea of building a body of knowledge (BoK) to gather the better
practices in software requirements traceability that could bring major benefits for analyzing …

Nowadays, with the increasing burst of newly generated data everyday, as well as the vast
expanding needs for corresponding data analyses, grand challenges have been brought to …

Recent research has demonstrated that social media could provide valuable spatio-
temporal data about users activities. However, information extraction and computation from …

Load imbalance problem is one of the major obstacles to achieving optimal performance of
High Performance Computing applications. The approach of trying to distribute the problem …

We discuss the use of cloud computing in technical (scientific) applications and identify
characteristics such as loosely-coupled and data-intensive that lead to good performance …