This work introduces Mashup, a novel strategy to leverage serverless computing model for
executing scientific workflows in a hybrid fashion by taking advantage of both the traditional …

State-of-the-art, yet decades-old, architecture of high-performance computing systems has
its compute and storage resources separated. It thus is limited for modern data-intensive …

The state-of-the-art for auditing and reproducing scientific applications on high-performance
computing (HPC) systems is through a data provenance subsystem. While recent advances …

The state-of-the-art approaches for tracking data provenance on high-performance
computing (HPC) systems are either supported by file systems or relational databases …

Distributed resiliency becomes paramount to alleviate the growing costs of data movement
and I/Os while preserving the data accuracy in HPC systems. This paper proposes to adopt …

The ever-growing gap between the computation and I/O is one of the fundamental
challenges for future computing systems. This computation-I/O gap is even larger for modern …

The state-of-the-art storage architecture of high-performance computing systems was
designed decades ago, and with today's scale and level of concurrency, it is showing …

Large-scale, data-intensive scientific applications are often expressed as scientific
workflows (SWfs). In this paper, we consider the problem of efficient scheduling of a large …

Research and education through computer simulation has been actively conducted in
various scientific and engineering fields including computational science engineering …

Mobility as a Service takes the concept of XaaS to transportation: a MaaS provider shall
merge transport options from different mobility providers, seamlessly handling the whole …