The tomato crop is an important staple in the Indian market with high commercial value and
is produced in large quantities. Diseases are detrimental to the plant's health which in turn …

Pilot-Job systems play an important role in supporting distributed scientific computing. They
are used to execute millions of jobs on several cyberinfrastructures worldwide, consuming …

Map** mashups are emerging Web 2.0 applications in which data objects such as blogs,
photos and videos from different sources are combined and marked in a map using APIs that …

Quantum computing is important for science and industry as it offers the potential to solve
certain complex problems and perform calculations significantly faster than classical …

Scientific problems that depend on processing largeamounts of data require overcoming
challenges in multiple areas: managing large-scale data distribution, co-placement …

High performance computing systems have historically been designed to support
applications comprised of mostly monolithic, single-job workloads. Pilot systems decouple …

Many science and industry IoT applications necessitate data processing across the edge-to-
cloud continuum to meet performance, security, cost, and privacy requirements. However …

This paper introduces WhereWulff, a semiautonomous workflow for modeling the reactivity of
catalyst surfaces. The workflow begins with a bulk optimization task that takes an initial bulk …

Traditionally high-performance computing (HPC) systems have been optimized to support
mostly monolithic workloads. The workload of many important scientific applications …

Data driven programming models like MapReduce have gained the popularity in large-scale
data processing. Although great efforts through the Hadoop implementation and framework …