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Engin Arslan

Assistant Professor
Computer Science and Engineering
University of Nevada, Reno



Dr. Arslan received his Ph.D. in CSE from University at Buffalo, SUNY in 2016, M.S. in CSE from University of Nevada, Reno in 2011 and B.S. in CE from Bogazici University in 2010. He spent one year at the National Center for Supercomputing Applications (NCSA) as a postdoctoral research associate before joining to UNR.

Recent News


Papers
  • Sep, 2019: Paper on sample transfer optimization using Deep Neural Network is accepted at INDIS 2019 workshop
  • Aug, 2019: Paper on game theoratical analysis of peer-to-peer storage systems is accepted at CNSM 2019
  • Apr, 2019: Paper on efficient sample transfers using time-series analysis is accepted at SNTA 2019 workshop
  • Mar, 2019: Work on increasing resiliency of data transfers against silent data corruption is accepted at IEEE/ACM CCGrid 2019
  • Nov, 2018: Paper on efficient end-to-end integrity verification for data transfers is accepted at IEEE BigData 2018 workshop
Awards
  • Feb, 2019: NSF CRII proposal is awarded with $174K. The focus is applying online convex optimization to data transfer tuning problem in high-performance networks! Thanks NSF
  • Jul, 2019: Shamminuj Aktar is awarded with Graduate Dean's Fellowship for $35,000. Congratulations!
  • Jan, 2019: Received Amazon Web Services (AWS) research grant ($15K)
Service
  • Program Committee: IEEE Cluster 2017, 2018, 2019; IEEE/ACM CCGrid 2020; ICPP 2019
  • NSF Review Panelist: 2019
Other
  • Jul, 2019: Batyr successfully defended his MS thesis and joined to PhD program of Stenvens Institute of Technology
  • May, 2019: Bahadir successfully defended his MS thesis and became the first alumni of the lab!

Lab/Research

High Performance Computing and Networking (HPCN) Lab

HPCN Lab members are working on projects on modelling, monitoring, optimization, and fault-tolerance of high performance computing/networking, distributed systems, and computer network areas.

I'm looking for motivated PhD (with MS preferred) students. If you are interested, please drop me an email with your CV and test scores.

STUDENTS

PhD
  • Shamminuj Aktar
  • Ahmed Alhussen
  • Pooya Fayyazsanavi
  • Md Arifuzzaman
  • Hemanta Sapkota
MS
  • Masud Bhuiyan
  • David Gabriel
  • Davud Ucar
Undergraduate
  • Carl Montemayor
Alumni
  • Bahadir Pehlivan, MS, 2019
  • Batyr Charyyev, MS, 2019

Publications

2019 2018201720162015 and earlier

2019

  • Sample Transfer Optimization with Adaptive Deep Neural Network
    Hemanta Sapkota, Md Arifuzzaman, and Engin Arslan
    The Innovating the Network for Data-Intensive Science (INDIS) workshop (in conjunction with SC'19)
  • Pooling Approach for Task Allocation in the Blockchain Based Decentralized Storage Network
    Iman Vakilinia, Shahin Vakilinia, Shahriar Badsha, Engin Arslan, Shamik Sengupta
    International Conference on Network and Service Management (CNSM) 2019
  • 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.
  • Time Series Analysis for High Performance Sample Transfers
    Hemanta Sapkota, Bahadir Pehlivan, and Engin Arslan
    Workshop on Systems and Network Telemetry and Analytics (in conjunction with ACM HPDC'19)

2018

  • Is End-to-End Integrity Verification Really End-to-End? [Work-in-progress]
    Ahmed Alhussen, Batyr Charyyev, and Engin Arslan
    3rd Joint International Workshop On Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS) (co-located with SC'18)
  • Fast and Accurate Sample Transfers for Real-Time Throughput Optimization. [Work-in-progress]
    Hemanta Sapkota and Engin Arslan
    3rd Joint International Workshop On Parallel Data Storage & Data Intensive Scalable Computing Systems (PDSW-DISCS) (co-located with SC'18)
  • A Low-Overhead Integrity Verification for Big Data Transfers
    Engin Arslan and Ahmed Alhussen
    5th Workshop on Advances in Software and Hardware for Big Data Sciences (ASH) (co-located with IEEE BigData 2018)
  • 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)
  • Big Data Transfer Optimization Through Adaptive Parameter Tuning.
    Engin Arslan, Bahadir A. Pehlivan and Tevfik Kosar
    Journal of Parallel and Distributed Computing (JPDC) 2018
  • 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

2017

  • A Heuristic Approach to Protocol Tuning for High Performance Data Transfers.
    Engin Arslan, and Tevfik Kosar
    ArXiv Preprint 2017
  • Application Level High Speed Transfer Optimization Based on Historical Analysis and Real-time Tuning.
    Engin Arslan and Tevfik Kosar
    ArXiv Preprint 2017

2016

  • 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'16)

2015 and earlier

  • Training Network Administrators in a Game-Like Environment.
    Murat Yuksel, Engin Arslan, and Mehmet H. Gunes
    64th The North American Network Operators' Group (NANOG 64)
  • Energy-Aware Data Transfer Algorithms.
    Ismail Alan, Engin Arslan, Tevfik Kosar
    IEEE/ACM International Conference on Supercomputing (SC'15)
  • Training Network Administrators in a Game-Like Environment.
    Engin Arslan, Murat Yuksel, Mehmet H. Gunes
    Journal of Network and Computer Applications (JNCA) 2015
  • Locality and Network-Aware Reduce Task Scheduling for Data-Intensive Applications.
    Engin Arslan, Mrigank Shekhar, Tevfik Kosar
    Workshop on Data Intensive Computing in the Clouds (DataCloud2014) in conjunction with SC'14
  • Energy-Aware Data Transfer Tuning.
    Ismail Alan, Engin Arslan, Tevfik Kosar
    Workshop on Extreme Green & Energy Efficiency in Large Scale Distributed Systems (ExtremeGreen2014) in conjunction with CCGrid'14
  • Energy-Performance Trade-offs in Data Transfer Tuning at the End-Systems.
    Ismail Alan, Engin Arslan, Tevfik Kosar
    Sustainable Computing, Informatics and Systems (SUSCOM) 2014
  • Dynamic Protocol Tuning Algorithms for High Performance Data Transfers.
    Engin Arslan, Brandon Ross, Tevfik Kosar
    European Conference on Parallel and Distributed Computing (Europar'13)
  • StorkCloud: Data Transfer Scheduling and Optimization as a Service.
    Tevfik Kosar, Engin Arslan, Brandon Ross, Bing Zhang
    Workshop on Scientific Cloud Computing (ScienceCloud2013) in conjunction with HPDC'13
  • Network Management Game
    Engin Arslan, Murat Yuksel, Mehmet H. Gunes
    ACM SIGCOMM Computer Communication Review (CCR) 2013
  • StorkCloud: Data Transfer Scheduling and Optimization as a Service. Brandon Ross, Engin Arslan, Bing Zhang, Tevfik Kosar
    Poster Session on the Extreme Science and Engineering Discovery Environment Conference (XSEDE'13)
  • Network Management Game.
    Engin Arslan, Murat Yuksel, M.H. Gunes
    IEEE Workshop on Local and Metropolitan Area Networks (LANMAN'11)
  • Academic Ties: Case Study of Mathematician Genenalogy
    Engin Arslan, M.H. Gunes, Murat Yuksel
    Workshop on Complex Networks and Pervasive Group Communication in conjunction with GLOBECOM'11

Teaching

Courses

Dr Arslan teaches undergraduate and graduate level courses in the area of data intensive computing and high performance computing and networking.

CS 491/691 Data Intensive Computing
CS 491/691 Image
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
CS 791 Image
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