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ONUR ALPARSLAN

SM-IEEE
Sp. Ap. Associate Professor

About Me

Biography

I received B.S. and M.S. degrees from Bilkent University, Ankara, Turkey, in 2002 and 2005, in electrical and electronics engineering. I received Ph.D. degree from Osaka University, Japan, in information science and technology, in 2008. I am a Specially Appointed Associate Professor at Osaka University. My research interests are computer networks, intra-vehicle networks, software defined networks, AI, optical networks, traffic engineering, and simulation. I have worked on several government funded projects on computer networks and telecommunications in Europe and Japan. I was the recipient of Monbukagakusho Graduate Scholarship from the Ministry of Education, Science, Sports and Culture of Japan between 2005–2008. I received the Best M.S. Thesis Award from IEEE student branch in Turkey in 2005. I was the recipient of "Best Paper Award" at the First International Conference on Evolving Internet (INTERNET 2009). I am an editor of IEEE Technology Policy & Ethics Newsletter of IEEE Future Directions Technical Community. I am serving in the steering committee of International Conference on Evolving Internet. I was the Operations Chair of IEEE World Forum on Internet of Things 2022. I was an editor of IEEE Access Special Issue "Flying Ad Hoc Networks: Challenges, Potentials, Future Applications, and Way Forward". I am a Senior Member of IEEE.

 

 

My Resume

Education

Osaka University, Osaka, Japan

2005 - 2008

Ph.D. in Information Science and Technology
Dissertation: Design and Performance Evaluation of Small-buffered Optical Packet Switched Networks

Bilkent University, Ankara, Turkey

2002 - 2005

M.S. in Electrical and Electronics Engineering on Computer Networks Area
Thesis: Combined Use of Prioritized AIMD and Flow-Based Traffic Splitting for Robust TCP Load Balancing

COST279 Summer School, Darmstadt, Germany

2003

Summer School organized by European Union

Topic: Routing and Multi-Layer Traffic Engineering in Next Generation IP Networks

Bilkent University, Ankara, Turkey

1998 - 2002

B.S. in Electrical and Electronics Engineering

Work Experience

Osaka University, Osaka, Japan

2020 -

Specially Appointed Associate Professor

Osaka University, Osaka, Japan

2018 - 2020

Specially Appointed Researcher

Osaka University, Osaka, Japan

2017 - 2018

Specially Appointed Assistant Professor

Osaka University, Osaka, Japan

2008 - 2016

Specially Appointed Researcher

Bilkent University, Ankara, Turkey

2002 - 2005

• Research Assistant
• Teaching Assistant
• Administrator of computer systems of Department of Electrical and Electronics Engineering
• Administrator of Bilkent University Information Networks Laboratory

Academic Awards & Honours

IEEE Kansai Region Medal (2017)

Best Paper Award (First International Conference on Evolving Internet) (2009)

Best Master’s Thesis Award (IEEE Student Branch) (2005)

Best Research and Teaching Assistant Award (Bilkent University) (2004)

Ranked 67th in OYS (National University Entrance Exam) among 1.500.000 students in Turkey (1998)

Ranked 56th in National Science High School Entrance Exam in Turkey (1995)

Scholarships

Monbukagakusho Graduate Scholarship from the Ministry of Education of Japan (2005-2008)

Full M.S. scholarship (Bilkent University) (2002-2005)

Full B.S. scholarship (Bilkent University) (1998-2002)

Memberships

IEEE (Senior Member)

IEICE (Member)

Academic Activities


IEEE Technology Policy & Ethics Newsletter (Editor)

IEEE Internet Policy Newsletter (Editor)

IEEE Access (Guest Editor)

IEEE World Forum on Internet of Things (Operations Chair)

International Conference on Evolving Internet (Steering Committee Member)

International Conference on Cloud Computing, GRIDs, and Virtualization (TPC Member)

Photonic Network Communications (Reviewer)

International Journal On Advances in Internet Technology (Editor)

Optical Switching and Networking (Reviewer)

Transactions on Emerging Telecommunications Technologies (Reviewer)

Journal of Internet Technology (Reviewer)

Certificates

JLPT N1 Japanese Proficiency Certificate

TOEIC (925 / 990)

Japan Permanent Resident

Languages

Turkish (native)

English (fluent)

Japanese (fluent)

Research Topics

My research topics and some selected publications are as follows:

 

 

SiPhON Intra-vehicle Backbone Network Architecture

Recently, the innovation in the automotive industry is mostly based on providing new and better services and features by mounting embedded systems called electronic control unit (ECU). ECUs of some features like self-driving systems require transferring large amounts of data with low latency and strict Quality of service (QoS). While Ethernet may be used in the intra-vehicle backbone, satisfying the severe hardware reliability requirements of intra-vehicle networks while providing high-bandwidth and low latency by Ethernet may be costly. As a solution, we proposed a novel optical intra-vehicle backbone network architecture called SiPhON that may have a lower cost and higher reliability in terms of hardware when compared to Ethernet. I proposed dynamic slot scheduling algorithms for SiPhON. By simulating a zone-based intra-vehicle network, I showed that the slot scheduling delays in our architecture are negligibly low when compared with the total delays in an optical TSN Ethernet backbone architecture.


 

  1. O. Alparslan, S. Arakawa, and M. Murata, "A zone-based optical architecture for intra-vehicle backbone networks," IEICE (PN2021-79), vol. 121, pp. 142-147, March 2022.

  2. O. Alparslan, S. Arakawa, and M. Murata, "Next Generation Intra-Vehicle Backbone Network Architectures," in Proceedings of IEEE International Conference on High Performance Switching and Routing (HPSR), June 2021. (Invited Paper)

 


 

SDN-based Control of IoT network by Brain-inspired Bayesian Attractor Model

One of the models in the literature for modeling the behavior of the brain is the Bayesian attractor model, which is a kind of supervised machine-learning algorithm. According to this model, the brain assigns stochastic variables to possible decisions (attractors) and chooses one of them when enough evidence is collected from sensory systems to achieve a confidence level high enough to make a decision. We introduced a software defined networking (SDN) framework based on a brain-inspired BAM for identification of the current traffic pattern for the supervision and automation of traffic engineering in Internet of Things (IoT) networks. When a new traffic pattern is identified, the framework updates the routing table in the network and applies virtual network topologies (VNTs) optimized by traffic engineering with network slicing to minimize the maximum link utilization. Later, I implemented brain-inspired BAM framework as an extension on OpenDaylight SDN controller. I built a real SDN demonstration testbed with high-speed SDN-capable switches and routers for emulating an IoT network for surveillance. The brain-inspired BAM framework correctly identified the place of the crowds by only sampling the fluctuating link utilization levels and then applied the optimum routing table for carrying the traffic generated by the crowd. I represented Osaka University by doing demonstrations of “Brain-inspired IoT network control for surveillance” at Combined Exhibition of Advanced Technologies (CEATEC) Exhibition in Chiba Prefecture and Japan IT Week Kansai Exhibition in Osaka Prefecture


 

     Book Chapter

  1. O. Alparslan, S. Arakawa, "Fast/Slow-Pathway Bayesian Attractor Model for IoT Networks Based on Software-Defined Networking with Virtual Network Slicing", in Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, M. Murata, K. Leibnitz, Ed. Singapore: Springer, 2021, pp. 135-154.

  2.      Journal Papers

  3. O. Alparslan, S. Arakawa, and M. Murata, "SDN-based control of IoT network by brain-inspired Bayesian attractor model and network slicing," Applied Sciences, vol. 10, no. 17, pp. 5773, August 2020. [pdf]

  4.      Demonstration

  5. O. Alparslan, S. Arakawa, and M. Murata, "SDN-based virtual network topology control with fast-path/slow-path Bayesian attractor Model," Next Generation Artificial Intelligence Symposium, February 2020 (Poster and Demonstration) (Japanese).

  6. O. Alparslan, S. Arakawa, and M. Murata, "SDN-based Control of IoT Network by Brain-inspired Fast-path/Slow-path Bayesian Attractor Model and Network Slicing," Japan IT Week Kansai, January 2020 (Poster and Demonstration) (Japanese).

  7. O. Alparslan, S. Arakawa, and M. Murata, "Demonstration of SDN-based control of IoT network by brain-inspired Bayesian attractor model and network slicing," Combined Exhibition of Advanced Technologies (CEATEC), October 2019 (Poster and Demonstration) (Japanese).

 


 

Network Virtualization for Security

I proposed a network architecture that increases the resiliency against distributed denial-of-service (DDoS) attacks by leveraging virtual network functions (VNF) and software defined networking (SDN). The architecture calculates the optimum multipath VNF orchestration by two-stage linear programming (LP) using CPLEX. The simulation results revealed that the architecture highly improves the DDoS traffic absorption rate, while minimizing the performance penalty when the network is not under heavy DDoS attack.


 

  1. O. Alparslan, O. Gunes, S. Y. Hanay, S. Arakawa, and M. Murata, “Improving Resiliency Against DDoS Attacks by SDN and Multipath Orchestration of VNF Services,” in Proceedings of IEEE International Symposium on Local and Metropolitan Area Networks, June 2017. [pdf] [poster]

 


 

Biologically Inspired Virtual Networks against Network Failures

Yuragi, a mathematical neural network model derived from biological systems, was applied to computer networks. The gene regulatory network of cells was modeled as an attractor selection-based neural network and used to control virtual network topologies (VNTs) in optical networks. The attractor VNT candidates are stored in a Hopfield network, which is a kind of recurrent artificial neural network. I designed heuristic algorithms for designing attractor VNTs that are robust against large scale network failures


 

  1. O. Alparslan, S. Arakawa, and M. Murata, "Designing VNT candidates robust against network failures," Journal of Internet Technology, vol. 19, no. 1, pp. 279-288, January 2018.

  2. O. Alparslan, S. Arakawa, and M. Murata, "Designing VNT candidates robust against congestion due to node failures," in Proceedings of IEEE International Conference on High Performance Switching and Routing (HPSR), June 2016.

 


 

Hybrid Optical Path and Packet Switching

I designed a hybrid optical network architecture, which uses both path (circuit) and packet switching. It dynamically changes the ratio of path and packet switching wavelengths network-wide according to the traffic characteristics. I showed that it can greatly increase the goodput of large TCP flows, while decreasing the cost and the power consumption.
To the best of my knowledge the simulator that I implemented for this research is the fastest and most scalable simulator for packet level simulation of TCP flows in the literature. I optimized the TCP Cubic simulation code of ns-2 simulator and made it more than 1000 times faster. Some of the simulation results in the paper were obtained by a packet level simulation of a mesh network with around 10 billion (10^10) TCP Cubic flows


 

  1. O. Alparslan, S. Arakawa, and M. Murata, "Dynamic wavelength allocation and analytical model for flow assignment in optical packet and path integrated networks," IEEE/OSA Journal of Optical Communications and Networking, vol. 9, no. 4, pp. 304-318, April 2017.

  2. O. Alparslan, S. Arakawa, and M. Murata, "Computing flow completion time in optical path/packet integrated networks," in Proceedings of International Conference on Photonics in Switching (OECC/PS 2013), (Kyoto), June 2013.

 


 

Analytical modelling of circuit switching networks

Using a M∕G∕c∕c Markov chain queuing model, I proposed an analytical model for calculating the circuit blocking probabilities and reservation delays in circuit switching optical WDM networks. I showed that the analytical model is the most accurate one in the literature


 

  1. O. Alparslan, S. Arakawa, and M. Murata, "Computing path blocking probability and delay in optical networks with retrial," IEEE/OSA Journal of Optical Communications and Networking, vol. 5, no. 5, pp. 498-511, May 2013.

  2. O. Alparslan, S. Arakawa, and M. Murata, "Computing path blocking probabilities for traffic splitting in optical hybrid switching networks," in Proceedings of IEEE International Conference on Communications (ICC), June 2012, pp. 2983-2988.

 


 

Small Buffered Networks

In my Ph.D. thesis, I challenged the famous rule of thumb, which states that network routers require a buffer size of Bandwidth*RTT to achieve high utilization with TCP flows. I proposed novel network architectures, which greatly decrease the buffering requirements of both electronic and optical networks. After my Ph.D., I continued working on evaluating and further decreasing the buffer requirements of both electronic and optical networks


 

  1. O. Alparslan, S. Arakawa, and M. Murata, "Buffer scaling for optical packet switching networks with shared RAM,"Optical Switching and Networking, vol. 8, no. 1, pp. 12-22, January 2011.

  2. O. Alparslan, S. Arakawa, and M. Murata, "Node pacing for small optical RAM-buffered packet-switching networks," Photonic Network Communications, vol. 22, no. 2, pp. 172-179, October 2011.

  3. O. Alparslan, S. Arakawa, and M. Murata, "Comparison of packet switch architectures and pacing algorithms for very small optical RAM," International Journal on Advances in Internet Technology, vol. 3, no. 1&2, pp. 159-169, 2010. (Invited Paper)

  4. O. Alparslan, S. Arakawa, and M. Murata, "XCP-based transmission control mechanism for optical packet switched networks with very small optical RAM," Photonic Network Communications, vol. 18, no. 2, pp. 237-243, October 2009.

  5. O. Alparslan, S. Arakawa, and M. Murata, "Rate-based pacing for small buffered optical packet-switched networks," Journal of Optical Networking, vol. 6, no. 9, pp. 1116-1128, September 2007.

  6. O. Alparslan, S. Arakawa, and M. Murata, "Packet switch architectures for very small optical RAM," in Proceedings of The First International Conference on Evolving Internet (INTERNET 2009), August 2009, pp. 106-112. (Best Paper Award)

  7. O. Alparslan, S. Arakawa, and M. Murata, "Node pacing for optical packet switching," in Proceedings of Photonics in Switching, August 2008.

  8. O. Alparslan, S. Arakawa, and M. Murata, "Rate-based pacing for optical packet switched networks with very small optical RAM," in Proceedings of IEEE Broadnets, September 2007.

  9. O. Alparslan, S. Arakawa, and M. Murata, "Switch architectures for small-buffered optical packet switched networks," in Proceedings of 12th IEEE Symposium on Computers and Communications (ISCC'07), July 2007.

  10. O. Alparslan, S. Arakawa, and M. Murata, "Performance of paced and non-paced transmission control algorithms in small buffered networks," in Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC'06), June 2006, pp. 115-122.

  11. O. Alparslan, S. Arakawa, and M. Murata, "Optical rate-based paced XCP for small buffered optical packet switching networks," in Proceedings of PFLDnet, February 2006, pp. 117-124.

 


 

Optical Burst Switching (OBS)

The effects of the number of justifiers on TCP performance in an optical burst switching (OBS) network were examined in this work. I designed and implemented an advanced optical burst network simulator on ns-2 for this project and released its source code on the Internet available here. My simulator is used by many papers in literature. A survey paper selected my simulator as the most advanced OBS simulator among all related free and commercial simulators including OPNET simulator, which cost more than 10,000 dollars at that time.


 

  1. G. Gurel, O. Alparslan, and E. Karasan, "nOBS: an ns2 based simulation tool for performance evaluation of TCP traffic in OBS networks," Annals of Telecommunications, vol. 62, no. 5-6, pp. 618-632, May-June 2007.

  2. G. Gurel, O. Alparslan, and E. Karasan, "nOBS: ns2 based simulation tool for TCP performance evaluation in OBS networks," in Proceedings of European Symposium on Simulation Tools for Research and Education in Optical Networks, October 2005.

 


 

Multi-path Traffic Engineering with QoS for MPLS networks

In my master’s thesis, I proposed a network architecture for electronic networks using TCP load balancing and multi-path routing based on queuing delays. I showed that the architecture consistently outperforms the single-path routing policy and provides substantial TCP per-flow goodput gains. My master’s thesis won the Best Master’s Thesis Award of IEEE Turkey Student Branch in Bilkent University.


 

  1. O. Alparslan, N. Akar, and E. Karasan, "TCP flow aware adaptive path switching in diffserv enabled MPLS networks," European Transactions on Telecommunications, vol. 22, no. 5, pp. 185-199, August 2011.

  2. O. Alparslan, N. Akar, and E. Karasan, "AIMD-based online MPLS traffic engineering for TCP flows via distributed multi-path routing," Annals of Telecommunications, vol. 59, no. 11-12, pp. 1353-1371, Nov-Dec 2004.

  3. O. Alparslan, N. Akar, and E. Karasan, "Combined use of prioritized AIMD and flow-based traffic splitting for robust TCP load balancing," Fifth International Workshop on Quality of future Internet Services (QofIS'04), Lecture Notes in Computer Science, vol. 3266, pp. 124-133, September 2004.

 


 

Biological Inspired Design of Integrated Nanophotonic Devices

I proposed a biologically inspired attractor selection algorithm to design efficient integrated nanophotonic devices. The 3D FDTD analyses showed that the designed photonic integrated devices have compact sizes, high efficiencies, and compatibility with CMOS fabrication technology


 

  1. E. Bor, O. Alparslan, M. Turduev, Y. S. Hanay, H. Kurt, S. Arakawa, and M. Murata, "Integrated silicon photonic device design by attractor selection mechanism based on artificial neural networks: optical coupler and asymmetric light transmitter," Optics Express, vol. 26, November 2018.

  2. Y. S. Hanay, O. Alparslan, I. H. Giden, M. Turduev, E. Bor, C. Latifoglu, H. Kurt, S. Arakawa, M. Murata, "Compact Air-To-Waveguide Coupler Design Based on Neural Networks," in Proceedings of The 24th Congress of the International Commission for Optics (ICO), August 2017.

Publications

Book Chapter

  1. O. Alparslan, S. Arakawa, "Fast/Slow-Pathway Bayesian Attractor Model for IoT Networks Based on Software-Defined Networking with Virtual Network Slicing," in Fluctuation-Induced Network Control and Learning: Applying the Yuragi Principle of Brain and Biological Systems, M. Murata, K. Leibnitz, Ed. Singapore: Springer, 2021, pp. 135-154.

  2.  

     

    Refereed Journal Papers

  3. O. Alparslan, S. Arakawa, and M. Murata, "A zone-based optical intra-vehicle backbone network architecture with dynamic slot scheduling," Optical Switching and Networking, vol. 50, August 2023.

  4. O. Alparslan, S. Arakawa, and M. Murata, "SDN-based control of IoT network by brain-inspired Bayesian attractor model and network slicing," Applied Sciences, vol. 10, no. 17, pp. 5773, August 2020. [pdf]

  5. E. Bor, O. Alparslan, M. Turduev, Y. S. Hanay, H. Kurt, S. Arakawa, and M. Murata, "Integrated silicon photonic device design by attractor selection mechanism based on artificial neural networks: optical coupler and asymmetric light transmitter," Optics Express, vol. 26, November 2018. [pdf]

  6. O. Alparslan, S. Arakawa, and M. Murata, "Designing VNT candidates robust against network failures," Journal of Internet Technology, vol. 19, no. 1, pp. 279-288, January 2018. [pdf]

  7. O. Alparslan, S. Arakawa, and M. Murata, "Dynamic wavelength allocation and analytical model for flow assignment in optical packet and path integrated networks," IEEE/OSA Journal of Optical Communications and Networking, vol. 9, no. 4, pp. 304-318, April 2017. [pdf]

  8. O. Alparslan, S. Arakawa, and M. Murata, "Computing path blocking probability and delay in optical networks with retrial," IEEE/OSA Journal of Optical Communications and Networking, vol. 5, no. 5, pp. 498-511, May 2013. [pdf]

  9. O. Alparslan, S. Arakawa, and M. Murata, "Node pacing for small optical RAM-buffered packet-switching networks," Photonic Network Communications, vol. 22, no. 2, pp. 172-179, October 2011. [pdf]

  10. O. Alparslan, N. Akar, and E. Karasan, "TCP flow aware adaptive path switching in diffserv enabled MPLS networks," European Transactions on Telecommunications, vol. 22, no. 5, pp. 185-199, August 2011. [pdf]

  11. O. Alparslan, S. Arakawa, and M. Murata, "Buffer scaling for optical packet switching networks with shared RAM,"Optical Switching and Networking, vol. 8, no. 1, pp. 12-22, January 2011. [pdf]

  12. O. Alparslan, S. Arakawa, and M. Murata, "Comparison of packet switch architectures and pacing algorithms for very small optical RAM," International Journal on Advances in Internet Technology, vol. 3, no. 1&2, pp. 159-169, 2010. (Invited Paper) [pdf]

  13. O. Alparslan, S. Arakawa, and M. Murata, "XCP-based transmission control mechanism for optical packet switched networks with very small optical RAM," Photonic Network Communications, vol. 18, no. 2, pp. 237-243, October 2009. [pdf]

  14. O. Alparslan, S. Arakawa, and M. Murata, "Rate-based pacing for small buffered optical packet-switched networks," Journal of Optical Networking, vol. 6, no. 9, pp. 1116-1128, September 2007. [pdf]

  15. G. Gurel, O. Alparslan, and E. Karasan, "nOBS: an ns2 based simulation tool for performance evaluation of TCP traffic in OBS networks," Annals of Telecommunications, vol. 62, no. 5-6, pp. 618-632, May-June 2007. [pdf]

  16. O. Alparslan, N. Akar, and E. Karasan, "AIMD-based online MPLS traffic engineering for TCP flows via distributed multi-path routing," Annals of Telecommunications, vol. 59, no. 11-12, pp. 1353-1371, Nov-Dec 2004. [pdf]
  17.  

     

    International Conference and Workshop Papers

  18. O. Alparslan, S. Arakawa, and M. Murata, "Next Generation Intra-Vehicle Backbone Network Architectures," in Proceedings of IEEE International Conference on High Performance Switching and Routing (HPSR), June 2021. (Invited Paper)

  19. Y. S. Hanay, O. Alparslan, I. H. Giden, M. Turduev, E. Bor, C. Latifoglu, H. Kurt, S. Arakawa, M. Murata, "Compact Air-To-Waveguide Coupler Design Based on Neural Networks," in Proceedings of The 24th Congress of the International Commission for Optics (ICO), August 2017.

  20. O. Alparslan, O. Gunes, S. Y. Hanay, S. Arakawa, and M. Murata, "Improving Resiliency Against DDoS Attacks by SDN and Multipath Orchestration of VNF Services," in Proceedings of IEEE International Symposium on Local and Metropolitan Area Networks, June 2017.

  21. O. Alparslan, S. Arakawa, and M. Murata, "Designing VNT candidates robust against congestion due to node failures," in Proceedings of IEEE International Conference on High Performance Switching and Routing (HPSR), June 2016.

  22. O. Alparslan, S. Arakawa, and M. Murata, "Computing flow completion time in optical path/packet integrated networks," in Proceedings of International Conference on Photonics in Switching (OECC/PS 2013), (Kyoto), June 2013.

  23. O. Alparslan, S. Arakawa, and M. Murata, "Computing path blocking probabilities for traffic splitting in optical hybrid switching networks," in Proceedings of IEEE International Conference on Communications (ICC), June 2012, pp. 2983-2988.

  24. O. Alparslan, S. Arakawa, and M. Murata, "Packet switch architectures for very small optical RAM," in Proceedings of The First International Conference on Evolving Internet (INTERNET 2009), August 2009, pp. 106-112. (Best Paper Award)

  25. O. Alparslan, S. Arakawa, and M. Murata, "Node pacing for optical packet switching," in Proceedings of Photonics in Switching, August 2008.

  26. O. Alparslan, S. Arakawa, and M. Murata, "Rate-based pacing for optical packet switched networks with very small optical RAM," in Proceedings of IEEE Broadnets, September 2007.

  27. O. Alparslan, S. Arakawa, and M. Murata, "Switch architectures for small-buffered optical packet switched networks," in Proceedings of 12th IEEE Symposium on Computers and Communications (ISCC'07), July 2007.

  28. O. Alparslan, S. Arakawa, and M. Murata, "Performance of paced and non-paced transmission control algorithms in small buffered networks," in Proceedings of the 11th IEEE Symposium on Computers and Communications (ISCC'06), June 2006, pp. 115-122.

  29. O. Alparslan, S. Arakawa, and M. Murata, "Optical rate-based paced XCP for small buffered optical packet switching networks," in Proceedings of PFLDnet, February 2006, pp. 117-124.

  30. G. Gurel, O. Alparslan, and E. Karasan, "nOBS: ns2 based simulation tool for TCP performance evaluation in OBS networks," in Proceedings of European Symposium on Simulation Tools for Research and Education in Optical Networks, October 2005.

  31. O. Alparslan, N. Akar, and E. Karasan, "Combined use of prioritized AIMD and flow-based traffic splitting for robust TCP load balancing," Fifth International Workshop on Quality of future Internet Services (QofIS'04), Lecture Notes in Computer Science, vol. 3266, pp. 124-133, September 2004.
  32.  

     

    Domestic Workshop Papers

  33. O. Alparslan, S. Arakawa, and M. Murata, "A zone-based optical architecture for intra-vehicle backbone networks," IEICE (PN2021-79), vol. 121, pp. 142-147, March 2022.

  34. O. Alparslan, S. Arakawa, and M. Murata, "Recovery from multiple node failures by virtual network topology control based on attractor selection," IEICE (PN2014-79), pp.11-15, March 2015.

  35. O. Alparslan, S. Arakawa, and M. Murata, "Dynamic optimization of wavelength ratio in hybrid optical networks," IEICE (PN2014-5), pp.25-30, June 2014.

  36. O. Alparslan, S. Arakawa, and M. Murata, "Performance analysis of optical path/packet integrated networks," IEICE (PN2012-23), vol. 112, pp. 53-58, August 2012.

  37. O. Alparslan, S. Arakawa, and M. Murata, "Analysis of path switching performance metrics for optical hybrid switching networks," IEICE (PN2011-11), pp. 39-43, November 2011.

  38. O. Alparslan, S. Arakawa, and M. Murata, "Packet switch architectures for very small optical RAM," IEICE (PN2008-63), pp. 119-124, January 2009.

  39. O. Alparslan, S. Arakawa, and M. Murata, "Node pacing for optical packet switching," IEICE (PN2007-76), pp. 17-20, March 2008.

  40. O. Alparslan, S. Arakawa, and M. Murata, "A comparative study of switch architectures for small-buffered optical packet switched networks," IEICE (OPE2006-159), pp. 167-172, January 2007.

  41. O. Alparslan, S. Arakawa, and M. Murata, "Rate-based paced XCP for small buffered optical packet switched networks," IEICE (PN2006-7), pp. 35-40, May 2006.
  42.  

     

    Invited Talks

  43. O. Alparslan, "Traffic Engineering with QoS, Routing and Buffer Management," Kyoto University, February 27, 2017.

  44. O. Alparslan, "Bio-Inspired Attractor Selection Control for Fast and Resilient Network Failure Recovery," Kyoto University, November 15, 2016.
  45.  

     

    Demonstrations

  46. O. Alparslan, S. Arakawa, and M. Murata, "SDN-based virtual network topology control with fast-path/slow-path Bayesian attractor Model," Next Generation Artificial Intelligence Symposium, February 2020 (Poster and Demonstration) (Japanese).

  47. O. Alparslan, S. Arakawa, and M. Murata, "SDN-based Control of IoT Network by Brain-inspired Fast-path/Slow-path Bayesian Attractor Model and Network Slicing," Japan IT Week Kansai, January 2020 (Poster and Demonstration) (Japanese).

  48. O. Alparslan, S. Arakawa, and M. Murata, "Demonstration of SDN-based control of IoT network by brain-inspired Bayesian attractor model and network slicing," Combined Exhibition of Advanced Technologies (CEATEC), October 2019 (Poster and Demonstration) (Japanese).

My Software

[Simulator]

• SiPhON

The source code of SiPhON (Si-Photonics-Based In-Vehicle Optical Network) simulator extension that I implemented for OMNEST/OMNeT++ simulator is here. It was presented and used in "A Zone-based Optical Intra-Vehicle Backbone Network Architecture with Dynamic Slot Scheduling" journal paper .

• nOBS v2.1 (updated on May 22, 2017)

The source code of OBS (optical burst switching) extension that I implemented for ns-2 simulator is here. The new version is updated for ns2.35. It was presented and used in "nOBS: an ns2 based simulation tool for performance evaluation of TCP traffic in OBS networks" journal paper available here.

• Multipath Routing for ns-2

The ns-2 simulator module and simulation scripts that I implemented for the simulations in the paper "Combined use of prioritized AIMD and flow-based traffic splitting for robust TCP load balancing," are here. The paper is here.

 

[Security]

• Differential Cryptanalysis

The source code and executables of the encoder and the differential cryptanalysis key finder programs that I implemented for the MacGuffin block cipher algorithm are here. The encoder program creates 100000 random cyphertext plaintext pairs by encrypting with 8-block MacGuffin cipher algorithm with 128-bit input key and the findkey program calculates the secret subkeys of the encrypted ciphertexts by differential cryptanalysis.


Contact Info

Address :

Advanced Network Architecture Laboratory,
Graduate School of Information Science and Technology,

Osaka University,

1-5 Yamadaoka, Suita,

Osaka 565-0871, Japan

 

E-mail :

a-onurist.osaka-u.ac.jp