High Performance Computing and Networking (HPCN) Lab
HPCN Lab members are working on various topics (e.g., modelling, optimization, and fault-tolerance) in the following areas:
- High Performance Computing/Networking
- Cloud/Edge Computing
- Computer Networks
- Distributed Systems
- Quantum Networking
If you are interested in joining, please drop me an email with your CV and test scores.
Colin Lorenzo Martires
Ahmed Alhussen, PhD, 2020
David Gabriel, MS, 2022
Bibek Shrestha, MS, 2021
Hemanta Sapkota, MS, 2021
Masud Bhuiyan, MS, 2020
Davut Ucar, MS, 2020
Bahadir Pehlivan, MS, 2019
Batyr Charyyev, MS, 2019
Jacob Tucker, BS, 2022
Jared Nelson, BS, 2022
Korben DiArchangel, BS, 2022
Sarah Cooper, BS, 2021
Kyle Respicio, BS, 2021
Complete list of publications can be found in Google Scholar
Be SMART, Save I/O: A Probabilistic Approach to Avoid Uncorrectable Errors in Storage Systems
Md Arifuzzaman, Masud Bhuiyan, Mehmet Gumus, and Engin Arslan
IEEE International Conference on Cluster Computing (Cluster) 2022
Swift and Accurate End-to-End Throughput Measurements for High-Speed Networks
Md Arifuzzaman and Engin Arslan
IEEE/IFIP Network Traffic Measurement and Analysis Conference (TMA) 2022
Reliable Wide-Area Data Transfers for Streaming Workflows
Hemanta Sapkota and Engin Arslan
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2022
Online Optimization of File Transfers in High-Speed Networks
Md Arifuzzaman and Engin Arslan
IEEE/ACM Supercomputing (SC) 2021
Avoiding Data Loss and Corruption for File Transfers with Fast Integrity Verification
Ahmed Alhussed and Engin Arslan
Journal of Parallel and Distributed Computing (JPDC) 2021
Streaming File Transfer Optimization for Distributed Science Workflows
Davut Ucar and Engin Arslan
IEEE International Conference on Cluster Computing (Cluster) 2020
RIVA: Robust Integrity Verification Algorithm for High-Speed File Transfers
Batyr Charyyev and Engin Arslan
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2020
Towards Securing Data Transfers Against Silent Data Corruption
Batyr Charyyev, Ahmed Alhussen, Hemanta Sapkota, Eric Pouyoul, Mehmet Gunes and Engin Arslan
IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing (CCGrid) 2019.
Vivace: Online-Optimizing Congestion Control.
Mo Dong, Tong Meng, Doron Zarchy, Engin Arslan, Yossi Gilad, Brighten Godfrey, and Michael Schapira
15th USENIX Symposium on Networked Systems Design and Implementation (NSDI'18)
High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning
Engin Arslan and Tevfik Kosar
IEEE Transactions on Parallel and Distributed Systems (TPDS) 2018
Big Data Transfer Optimization Through Adaptive Parameter Tuning.
Engin Arslan, Bahadir A. Pehlivan and Tevfik Kosar
Journal of Parallel and Distributed Computing (JPDC) 2018
Application-Level Optimization of Big Data Transfers Through Pipelining, Parallelism and Concurrency.
Esma Yildirim, Engin Arslan, Jangyoung Kim and Tevfik Kosar
IEEE Transactions on Cloud Computing (TCC) 2016
HARP: Predictive Transfer Optimization Based on Historical Analysis and Real-time Probing.
Engin Arslan, Kemal Guner, Tevfik Kosar
IEEE/ACM International Conference on Supercomputing (SC) 2016
Energy-Aware Data Transfer Algorithms.
Ismail Alan, Engin Arslan, Tevfik Kosar
IEEE/ACM International Conference on Supercomputing (SC) 2015
Dynamic Protocol Tuning Algorithms for High Performance Data Transfers.
Engin Arslan, Brandon Ross, Tevfik Kosar
European Conference on Parallel and Distributed Computing (Europar) 2013
Dr Arslan teaches undergraduate and graduate level courses in the area of data intensive computing and high performance computing and networking.
CS 400/600: Computer Networks (Spring 21-22)
This class covers the fundementals of computer networks including OSI model,
protocol layers, circuit/packet switching, sockets, reliable transport, congestion control, routing, addressing, and multiple access control.
CS 442/642: Cloud Computing (Fall 2021)
The course presents a comprehensive view of cloud computing,
from platforms and services to programming and infrastructure. The topics include cloud services for data analytics, machine learning,
mobile computing, IoT, edge computing, security and privacy, and devops; and virtualization, and containerization.
CS 491/691: Data Intensive Computing (Fall 18-20)
This course provides a broad introduction to the fundamentals in
data intensive computing and its enabling systems architectures such as MapReduce, Spark, Hbase, and Hive.
CS 791: High Performance Systems and Networking (Spring 18-21)
This course broadly examines high performance systems and networks.
Specifically, it will cover topics on state-of-the art software and hardware tools used in today’s high performance computing clusters to provide extreme scale computing and networking opportunities.
Have questions about my research or how to get involved?