| Automating Edge-to-cloud Workflows for Science: Traversing the Edge-to-cloud Continuum with Pegasus | 0 | 0.34 | 2022 |
| Fair sharing of network resources among workflow ensembles | 0 | 0.34 | 2022 |
| Data Integrity Error Localization in Networked Systems with Missing Data | 0 | 0.34 | 2022 |
| Anomaly Detection in Scientific Workflows using End-to-End Execution Gantt Charts and Convolutional Neural Networks | 0 | 0.34 | 2021 |
| Mining Workflows for Anomalous Data Transfers | 1 | 0.35 | 2021 |
| WIRE: Resource-efficient Scaling with Online Prediction for DAG-based Workflows | 0 | 0.34 | 2021 |
| End-to-end online performance data capture and analysis for scientific workflows | 1 | 0.35 | 2021 |
| Toward a Data Lifecycle Model for NSF Large Facilities | 0 | 0.34 | 2020 |
| Identifying Execution Anomalies for Data Intensive Workflows Using Lightweight ML Techniques | 0 | 0.34 | 2020 |
| An On-Demand Weather Avoidance System for Small Aircraft Flight Path Routing. | 0 | 0.34 | 2020 |
| Application Aware Software Defined Flows of Workflow Ensembles | 0 | 0.34 | 2020 |
| Detecting anomalous packets in network transfers: investigations using PCA, autoencoder and isolation forest in TCP | 2 | 0.37 | 2020 |
| Toward a Dynamic Network-Centric Distributed Cloud Platform for Scientific Workflows: A Case Study for Adaptive Weather Sensing | 2 | 0.41 | 2019 |
| Custom Execution Environments with Containers in Pegasus-Enabled Scientific Workflows | 0 | 0.34 | 2019 |
| Integrity Protection for Scientific Workflow Data: Motivation and Initial Experiences | 0 | 0.34 | 2019 |
| COMET: Distributed Metadata Service for Multi-cloud Experiments | 0 | 0.34 | 2019 |
| The role of machine learning in scientific workflows | 2 | 0.40 | 2019 |
| Cyberinfrastructure Center of Excellence Pilot: Connecting Large Facilities Cyberinfrastructure | 0 | 0.34 | 2019 |
| Custom Execution Environments with Containers in Pegasus-enabled Scientific Workflows. | 0 | 0.34 | 2019 |
| Training Classifiers to Identify TCP Signatures in Scientific Workflows | 1 | 0.37 | 2019 |
| PANORAMA: An approach to performance modeling and diagnosis of extreme-scale workflows. | 9 | 0.58 | 2017 |
| Toward Prioritization of Data Flows for Scientific Workflows Using Virtual Software Defined Exchanges | 2 | 0.40 | 2017 |
| Towards an Experimental LegoLand: Slice Modification and Recovery in ExoGENI Testbed. | 0 | 0.34 | 2016 |
| Adapting Scientific Workflows on Networked Clouds Using Proactive Introspection | 4 | 0.44 | 2015 |
| Enabling workflow repeatability with virtualization support | 1 | 0.36 | 2015 |
| Achieving Performance Isolation on Multi-Tenant Networked Clouds Using Advanced Block Storage Mechanisms | 0 | 0.34 | 2015 |
| Scaling up applications over distributed clouds with dynamic layer-2 exchange and broadcast service | 2 | 0.40 | 2014 |
| Capacity of inter-cloud layer-2 virtual networking | 1 | 0.43 | 2014 |
| Enabling persistent queries for cross-aggregate performance monitoring | 1 | 0.36 | 2014 |
| Leveraging and Adapting ExoGENI Infrastructure for Data-Driven Domain Science Workflows | 0 | 0.34 | 2014 |
| SMART-HexBot: a Simulation, Modeling, Analysis and Research Tool for Hexapod Robot in Virtual Reality and Simulink | 0 | 0.34 | 2013 |
| Evaluating I/O aware network management for scientific workflows on networked clouds | 5 | 0.49 | 2013 |
| ExoGENI: A Multi-domain Infrastructure-as-a-Service Testbed. | 29 | 2.93 | 2012 |
| Dynamic network provisioning for data intensive applications in the cloud | 0 | 0.34 | 2012 |
| Embedding virtual topologies in networked clouds | 41 | 2.26 | 2011 |
| Provisioning and Evaluating Multi-domain Networked Clouds for Hadoop-based Applications | 16 | 1.14 | 2011 |
| Modeling memory concurrency for multi-socket multi-core systems | 7 | 0.56 | 2010 |
| VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance | 41 | 1.54 | 2009 |
| Combined Fault Tolerance and Scheduling Techniques for Workflow Applications on Computational Grids | 17 | 0.69 | 2009 |
| Fault Tolerance and Recovery of Scientific Workflows on Computational Grids | 23 | 1.05 | 2008 |
| Grid scheduling and protocols - Evaluation of a workflow scheduler using integrated performance modelling and batch queue wait time prediction | 5 | 0.65 | 2006 |
| Challenges of Scale: When All Computing Becomes Grid Computing. | 0 | 0.34 | 2006 |
| Scalable Grid Application Scheduling via Decoupled Resource Selection and Scheduling | 16 | 0.86 | 2006 |
| New Grid Scheduling And Rescheduling Methods In The Grads Project | 127 | 6.62 | 2005 |
| Scheduling strategies for mapping application workflows onto the grid | 108 | 5.40 | 2005 |
| New Grid Scheduling and Rescheduling Methods in the GrADS Project | 86 | 4.50 | 2004 |
