| WPaxos: Wide Area Network Flexible Consensus | 2 | 0.36 | 2020 |
| The Impact of Auto-Refactoring Code Smells on the Resource Utilization of Cloud Software | 0 | 0.34 | 2020 |
| Energy-Efficient High-Throughput Data Transfers via Dynamic CPU Frequency and Core Scaling. | 0 | 0.34 | 2019 |
| SMURF: Efficient and Scalable Metadata Access for Distributed Applications from Edge to the Cloud | 0 | 0.34 | 2019 |
| Energy-aware data throughput optimization for next generation internet. | 0 | 0.34 | 2019 |
| Cross-Layer Optimization of Big Data Transfer Throughput and Energy Consumption | 0 | 0.34 | 2019 |
| High-Speed Transfer Optimization Based on Historical Analysis and Real-Time Tuning. | 6 | 0.47 | 2018 |
| FastHLA: Energy-Efficient Mobile Data Transfer Optimization Based on Historical Log Analysis. | 0 | 0.34 | 2018 |
| Big data transfer optimization through adaptive parameter tuning. | 4 | 0.43 | 2018 |
| Data-Aware Approximate Workflow Scheduling. | 0 | 0.34 | 2018 |
| A Two-Phase Dynamic Throughput Optimization Model for Big Data Transfers | 2 | 0.38 | 2018 |
| Energy-Efficient Mobile Network I/O. | 0 | 0.34 | 2018 |
| Energy-Efficient Mobile Network I/O Optimization at the Application Layer. | 0 | 0.34 | 2018 |
| OneDataShare: A Vision for Cloud-hosted Data Transfer Scheduling and Optimization as a Service. | 0 | 0.34 | 2018 |
| A Heuristic Approach to Protocol Tuning for High Performance Data Transfers. | 0 | 0.34 | 2017 |
| Poster: Application-Layer Optimization of Performance vs Energy in Mobile Network I/O. | 0 | 0.34 | 2017 |
| Energy-Performance Trade-offs in Mobile Data Transfers. | 0 | 0.34 | 2017 |
| Application Level High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning. | 0 | 0.34 | 2017 |
| Multileader WAN Paxos: Ruling the Archipelago with Fast Consensus. | 0 | 0.34 | 2017 |
| Big data transfer optimization based on offline knowledge discovery and adaptive sampling | 2 | 0.38 | 2017 |
| Efficient Distributed Coordination At Wan-Scale | 0 | 0.34 | 2017 |
| Energy-Efficient Data Transfer Algorithms for HTTP-Based Services. | 0 | 0.34 | 2017 |
| Data Transfer Optimization Based on Offline Knowledge Discovery and Adaptive Real-time Sampling. | 0 | 0.34 | 2017 |
| Energy-Aware HTTP Data Transfers | 2 | 0.37 | 2016 |
| HARP: predictive transfer optimization based on historical analysis and real-time probing. | 12 | 0.55 | 2016 |
| Application-Level Optimization of Big Data Transfers Through Pipelining, Parallelism and Concurrency | 18 | 0.66 | 2016 |
| Energy-aware data transfer algorithms | 9 | 0.51 | 2015 |
| DLS: a cloud-hosted data caching and prefetching service for distributed metadata access. | 4 | 0.41 | 2015 |
| Hysteresis-based optimization of data transfer throughput. | 6 | 0.47 | 2015 |
| Energy-performance trade-offs in data transfer tuning at the end-systems | 5 | 0.42 | 2014 |
| Locality and network-aware reduce task scheduling for data-intensive applications | 6 | 0.47 | 2014 |
| Energy-Aware Data Transfer Tuning | 3 | 0.38 | 2014 |
| StorkCloud: data transfer scheduling and optimization as a service. | 19 | 0.81 | 2013 |
| Dynamic protocol tuning algorithms for high performance data transfers | 9 | 0.51 | 2013 |
| Network-aware data caching and prefetching for cloud-hosted metadata retrieval | 1 | 0.36 | 2013 |
| PhoneLab: A Large Programmable Smartphone Testbed | 44 | 2.27 | 2013 |
| Modeling throughput sampling size for a cloud-hosted data scheduling and optimization service | 5 | 0.50 | 2013 |
| Guest Editors' Introduction: Special Issue on Data-Intensive Computing in the Clouds | 0 | 0.34 | 2012 |
| A Highly-Accurate and Low-Overhead Prediction Model for Transfer Throughput Optimization | 16 | 0.77 | 2012 |
| How GridFTP Pipelining, Parallelism and Concurrency Work: A Guide for Optimizing Large Dataset Transfers | 14 | 0.68 | 2012 |
| End-to-End Data-Flow Parallelism for Throughput Optimization in High-Speed Networks | 17 | 0.70 | 2012 |
| DataCloud Introduction | 0 | 0.34 | 2011 |
| A Data Throughput Prediction and Optimization Service for Widely Distributed Many-Task Computing | 16 | 0.82 | 2011 |
| Prediction of Optimal Parallelism Level in Wide Area Data Transfers | 28 | 1.10 | 2011 |
| A data-aware workflow scheduling algorithm for heterogeneous distributed systems | 2 | 0.37 | 2011 |
| PetaShare: A reliable, efficient and transparent distributed storage management system | 0 | 0.34 | 2011 |
| Error detection and error classification: failure awareness in data transfer scheduling | 0 | 0.34 | 2010 |
| High-performance remote data access for remote visualization | 2 | 0.37 | 2010 |
| Design, implementation and use of a simulation data archive for coastal science | 1 | 0.40 | 2010 |
| Toward a Reliable Distributed Data Management System | 0 | 0.34 | 2010 |
