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Engin Arslan

Assistant Professor
Computer Science and Engineering
University of Nevada, Reno



Dr. Engin Arslan received his PhD from University at Buffalo, SUNY in 2016 and worked at National Center for Supercomputing Applications (NCSA) as a postdoctoral research associate for one year before joining UNR in 2017. His research interests include high performance computing and networking, edge and cloud computing, computer networks, distributed systems, and quantum networking. He is a recipient of several prestigious grants including NSF CRII in 2019 and NSF CAREER in 2022.
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Recent News


Papers
  • Sep 2022: Paper on error recovery for file transfers through in-network caching is accepted to INDIS'22 (with SC'22)
  • Jul 2022: Probabilistic silent error mitigation model is accepted to IEEE Cluster'22
  • May 2022: BACAR (BAndwidth and Congestion Aware Routing for hybrid networks) is accepted to IEEE LANMAN'22
  • May 2022: FastProb, optimized probing for high-speed networks, is accepted to IFIP Traffic Measurement and Analysis Conference (TMA'22)
  • Mar 2022: Transfer optimization solution for streaming workflows, FStream, is accepted to IEEE TPDS
  • Sep 2021: Paper on transferrable machine learning model for network anomaly diagnosis is accepted at IEEE LCN'21 and INDIS'21
  • Jun 2021: Falcon, online transfer optimization algorithm, is accepted to SC'21
  • Mar 2021: Network-aware task scheduling algorithm for Edge Computing is accepted to PAISE workshop (with IPDPS'21)
  • Feb 2021: FIVER, fast and reliable integrity verification algorithm for file transfers, is accepted to JPDC
  • Aug 2020: A measurement paper on the latency characteristics of edge computing is accepted to IEEE Globecom'20
  • Jul 2020: FStream, streaming file transfer optimization, is accepted to IEEE Cluster'20
  • Jan 2020: RIVA (Robus Integrity Verification Algorithm) is accepted to IEEE TPDS
Awards
  • Jul 2022: NSF CSSI proposal is awarded! We will work on improving the performance of distributed science workflows through end-to-end parallelism.
  • Jan 2022: Received $25K Research Enhacement Grant from The Office of Research and Innovation at UNR.
  • Dec 2021: NSF CAREER proposal is awarded! We will develop scalable data transfer services for next-generation research networks.
  • May 2021: Our proposal to build Edge Computing testbed (Juniper) is awarded with $20K by UNR
  • Feb 2021: Our proposal to build programmable network testbed (ProNet) is awarded with $18K by UNR
  • Jul 2020: NSF Campus Cyberinfrastructure (CC*) proposal is awarded! We will be working on the development of software-driven network infrastructure for wide-area hybrid sensor networks.
  • Jul 2020: NSF CISE Core proposal is awarded! We (together with UB collaborators ) will be working on the application of machine learning for high-speed networking.
  • Feb 2019: NSF CRII proposal is awarded! The focus is applying online convex optimization to data transfer tuning problem in high-performance networks.
Service
  • IEEE TPDS Review Board Member, 2021-current
  • NSF Review Panelist:2022 (2), 2021 (2), 2020, 2019
  • UNR Cyberinfrasturucture Committee Member, 2020-current
  • Program Committee: ACM Supercomputing 2023 IEEE Cloud 2023, IEEE/ACM CCGrid 2023, IEEE CCNC 2023, SNTA 2023, IEEE/ACM CCGrid 2020, SNTA 2020-2022, IEEE Cluster 2017-2019, ICPP 2019
Other
  • Feb 2023: Nagmat will join ESnet at LBNL for summer internship. Congratulations!
  • Feb 2022: Hemanta Sapkota will join Facebook and Bibek Shreshta will join DocuSign as software engineers! Congratulations to both!
  • Jan 2022: Md Arifuzzaman will join ESnet at LBNL for summer internship. Congratulations to Arif!
  • Jan 2022: David Gabriel successfully defended his MS thesis on I/O throughput modeling based on Darshan logs and became the 7th MS graduate of the HPCN Lab. Congratulations!
  • Dec 2021: Bibek Shreshta successfully defended his MS thesis on network-aware task scheduling for edge computing. Congratulations!
  • Dec 2020: Masud successfully defended his MS thesis on error detection in storage systems. Congratulations!
  • Nov 2020: Ahmed successfully defended his PhD thesis and became the first PhD graduate of the Lab. Congratulations to Dr. Alhussen!!!
  • May 2020: Ahmed successfully defended his PhD proposal titled "Fast and Secure Integrity Verification For High-Speed Data Transfers". Congratulations!

Lab/Research

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.

STUDENTS

PhD
MS
  • Akin Alkan
Undergraduate
  • Seraina Burge
  • Brock Patchin
  • Colin Lorenzo Martires
  • Parker True
Alumni
  • 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
  • Kirin Hardinger
  • Jacob Tucker, BS, 2022
  • Jared Nelson, BS, 2022
  • Korben DiArchangel, BS, 2022
  • Sarah Cooper, BS, 2021
  • Kyle Respicio, BS, 2021

Publications



Selected Publications

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

Teaching

Courses

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)
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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)
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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)
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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)
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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.

Contact

Have questions about my research or how to get involved?

Dr. Engin Arslan
1664 North Virginia Street
Reno, NV 89557
Phone
775-784-6917