115 citations · 365 across the 18 of their papers we have counts for
12 papers · 1 filter
Workflows Community Summit 2022: A Roadmap Revolution
Rafael Ferreira da Silva, Rosa M. Badia, Venkat Bala +102
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex s…
Toward Democratizing Access to Facilities Data: A Framework for Intelligent Data Discovery and Delivery
Yubo Qin, Ivan Rodero, Manish Parashar
Data collected by large-scale instruments, observatories, and sensor networks are key enablers of scientific discoveries in many disciplines. However, ensuring that these data can…
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…
Challenges and Considerations for Utilizing Burst Buffers in High-Performance Computing
Melissa Romanus, Robert B. Ross, Manish Parashar
As high-performance computing (HPC) moves into the exascale era, computer scientists and engineers must find innovative ways of transferring and processing unprecedented amounts of…
Cross-layer Application-aware Power/Energy Management for Extreme Scale Science
Ivan Rodero, Manish Parashar
High Performance Computing (HPC) has evolved over the past decades into increasingly complex and powerful systems. Current HPC systems consume several MWs of power, enough to power…
Survey and Analysis of Production Distributed Computing Infrastructures
Daniel S. Katz, Shantenu Jha, Manish Parashar +2
This report has two objectives. First, we describe a set of the production distributed infrastructures currently available, so that the reader has a basic understanding of them. Th…
Peer-to-Peer Cloud Provisioning: Service Discovery and Load-Balancing
Rajiv Ranjan, Liang Zhao, Xiaomin Wu +1
This chapter presents: (i) a layered peer-to-peer Cloud provisioning architecture; (ii) a summary of the current state-of-the-art in Cloud provisioning with particular emphasis on…