We propose a run‐time verification mechanism of things for self‐healing capability in the
Internet of Things domain. We discuss the software architecture of the proposed verification …

Loss of life and property, disruptions to transportation and trading operations, etc. caused by
meteorological events increasingly highlight the importance of fast and accurate weather …

We introduce a distributed high‐performance Information Service Architecture, which forms
a metadata replica hosting system to manage both highly dynamic small‐scale metadata …

Data provenance has led to a develo** need for the technologies to empower end‐users
to assess and take action on the data life cycle. In the Big Data era, companies' amount of …

Data Provenance has created an emerging requirement for technologies that enable end
users to access, evaluate, and act on the provenance of data in recent years. In the era of …

We are now in the era of Big Data, and the need for tools which can process and analyze
such data is yet to be fulfilled. Big data mining aims to extract meaningful and valuable …

Missing data is a common problem for data clustering quality. Most real-life datasets have
missing data, which in turn has some effect on clustering tasks. This chapter investigates the …

Data-intensive Web Applications built using client–server architectures usually provide
prefetching mechanisms to enhance data accessibility. Prefetching is a strategy of retrieving …

The rise of the Internet of Things (IoT) and Cyber-Physical Systems (CPS) has brought about
a new era of connectivity, building intelligence into the very structure of our society. There …

Hybrid distributed computing software architectures gain great importance in data analysis
workflows as the number of available underlying machine learning libraries and data …