Big data has revolutionized science and technology leading to the transformation of our
societies. High-performance computing (HPC) provides the necessary computational power …

Use of IR images is advantageous for many surveillance applications where the systems
must operate around the clock and external illumination is not always available. We …

Increasingly larger scale applications are generating an unprecedented amount of data.
However, the increasing gap between computation and I/O capacity on High End Computing …

In-situ analytics has lately been shown to be an effective approach to reduce both I/O and
storage costs for scientific analytics. Developing an efficient in-situ implementation, however …

Increasingly larger scale simulations are generating an unprecedented amount of data.
However, the increasing gap between computation and I/O capacity on High End Computing …

In the Big Data era, machine learning has more potential to discover valuable insights from
the data. As an important machine learning technique, Bayesian Network (BN) has been …

In Wireless Sensor Networks (WSNs), congestion can cause a number of problems
including packet loss, lower throughput and poor energy efficiency. These problems can …

While many parallel visualization tools now provide in situ visualization capabilities, the
trend has been to feed such tools with large amounts of unprocessed output data and let …

In the recent years, Cloud computing is emerging as the next big revolution of both computer
networks and web provisioning. Due to its enormous promises, several vendors, such as …

In-situ analytics have recently emerged as a promising approach to reduce I/O, network, and
storage congestion for scientific data analysis. At the same time, Mean Time To Failure …