7 citations · 17 across the 6 of their papers we have counts for
8 papers · 1 filter
Exploring the Role of Machine Learning in Scientific Workflows: Opportunities and Challenges
Azita Nouri, Philip E. Davis, Pradeep Subedi +1
In this survey, we discuss the challenges of executing scientific workflows as well as existing Machine Learning (ML) techniques to alleviate those challenges. We provide the conte…
Leveraging User Access Patterns and Advanced Cyberinfrastructure to Accelerate Data Delivery from Shared-use Scientific Observatories
Yubo Qin, Ivan Rodero, Anthony Simonet +4
With the growing number and increasing availability of shared-use instruments and observatories, observational data is becoming an essential part of application workflows and contr…
Exploring Trade-offs in Dynamic Task Triggering for Loosely Coupled Scientific Workflows
Zhe Wang, Pradeep Subedi, Shaohua Duan +5
In order to achieve near-time insights, scientific workflows tend to be organized in a flexible and dynamic way. Data-driven triggering of tasks has been explored as a way to suppo…
Challenges in designing edge-based middlewares for the Internet of Things: A survey
Eduard Gibert Renart, Daniel Balouek-thomert, Manish Parashar
The Internet of Things paradigm connects edge devices via the Internet enabling them to be seamlessly integrated with a wide variety of applications. In recent years, the number of…
Edge Based Data-Driven Pipelines (Technical Report)
Eduard Gibert Renart, Daniel Balouek-Thomert, Manish Parashar
This research reports investigates an edge on-device stream processing platform, which extends the serverless com- puting model to the edge to help facilitate real-time data analyt…
Using Intel Optane Devices for In-situ Data Staging in HPC Workflows
Pradeep Subedi, Philip E. Davis, J. J. Villalobos +2
Emerging non-volatile memory technologies (NVRAM) offer alternatives to hard drives that are persistent, while providing similar latencies to DRAM. Intel recently released the Opta…