3 citations · 7 across the 7 of their papers we have counts for
7 papers
Demystifying the Performance of Data Transfers in High-Performance Research Networks
Ehsan Saeedizade, Bing Zhang, Engin Arslan
High-speed research networks are built to meet the ever-increasing needs of data-intensive distributed workflows. However, data transfers in these networks often fail to attain the…
I/O Burst Prediction for HPC Clusters using Darshan Logs
Ehsan Saeedizade, Roya Taheri, Engin Arslan
Understanding cluster-wide I/O patterns of large-scale HPC clusters is essential to minimize the occurrence and impact of I/O interference. Yet, most previous work in this area foc…
Quantum Key Distribution with Minimal Qubit Transmission Based on MultiQubit Greenberger Horne Zeilinger State
Tasdiqul Islam, Engin Arslan
Conventional Quantum Key Distribution (QKD) requires the transmission of multiple qubits equivalent to the length of the key. As quantum networks are still in their infancy thus, t…
Scalable Quantum Repeater Deployment Modeling
Tasdiqul Islam, Engin Arslan
Long-distance quantum communication presents a significant challenge as maintaining the fidelity of qubits can be difficult. This issue can be addressed through the use of quantum…
Fast Integrity Verification for High-Speed File Transfers
Engin Arslan, Ahmed Alhussen
The amount of data generated by scientific and commercial applications is growing at an ever-increasing pace. This data is often moved between geographically distributed sites for…
A Heuristic Approach to Protocol Tuning for High Performance Data Transfers
Engin Arslan, Tevfik Kosar
Obtaining optimal data transfer performance is of utmost importance to today's data-intensive distributed applications and wide-area data replication services. Doing so necessitate…
Application Level High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning
Engin Arslan, Tevfik Kosar
Data-intensive scientific and commercial applications increasingly require frequent movement of large datasets from one site to the other(s). Despite growing network capacities, th…