Currently, the data to be explored and exploited by computing systems increases at an
exponential rate. The massive amount of data or so-called “Big Data” put pressure on …

Nowadays, more and more computer-based scientific experiments need to handle massive
amounts of data. Their data processing consists of multiple computational steps and …

Workflow scheduling is a key component behind the process for an optimal workflow
enactment. It is a well-known NP-hard problem and is more challenging in the …

Emerging scientific workflows running at extreme scale are composed of multiple
applications that interact and exchange data at runtime. While staging-based approaches …

In this paper, we consider the problem of data sharing in scientific workflows running on the
cloud. We present the design and evaluation of a peer-to-peer approach to help solve this …

Nowadays, more and more scientific experiments need to handle massive amounts of data.
Their data processing consists of multiple computational steps and dependencies within …

Many science applications increasingly make use of data-intensive methods that require
bulk data movement such as staging of large datasets in preparation for analysis on shared …

Liquid crystal display (LCD) devices are well known to have slow response due to the
physical limitations of the liquid crystals. Therefore, fast moving objects in a scene are often …

Before scientific analyses run on shared infrastructure, such as the Open Science Grid or
XSEDE, scientists must often transfer or stage key data sets those resources. Often these …

Advanced coupled scientific simulation workflows running at extreme scales are providing
new capabilities and new opportunities for high fidelity modeling and insights in a wide …