Dynamic Load Balancing in SDN-Based Data Center Networks

Abstract:
Today's internet and ICT (Information and Communication Technology) face highly complex, challenging management and configuration because of the unprecedented increasing demand of massive data volume. Data Center Networks (DCNs), the underlying infrastructure, are used to fabricate and administer private networks through the Internet via hosting servers to support user requirements. To relief from operational expenses and complexity to configure these individual network resources, SDN (Software Defined Networking) comes into play for simplifying and improving network management with high flexibility. In data centers, accessing the computational and storage resources efficiently and timely are crucial for QoE (Quality of Experience) of the end users. Traditional DCNs suffer from imbalanced traffic load as few links experience congestions while the majority links are underutilized. Furthermore, power consumption is high regardless of the utilization of the network. In this project, we will study the DCN traffic management techniques. We plan to implement SDN-based load management for optimizing node and link utilization in DCNs.

References:
[1] Y. L. Lan, K. Wang, and Y. H. Hsu, "Dynamic load-balanced path optimization in SDN-based data center networks," in Proc. IEEE International Conference on Communication Systems, Networks and Digital Signal Processing (CSNDSP), pp. 1-6, July 2016.
[2] H.Long, Y.Shen, M. Guo and F. Tang, "LABERIO: Dynamic load-balanced routing in OpenFlow-enabled networks," in Proc. IEEE International Conference on Advanced Information Networking and Applications (AINA), pp. 290-297, Mar 2013.
[3] R.Masoudi and A. Ghaffari, "Software defined networks: A survey," Journal of Network and Computer Applications, vol. 67, pp. 1-25, May 2016.
[4] Y. Han, S. S. Seo, J. Li, J. Hyun, J. H. Yoo, and J. W. K. Hong, "Software defined networking-based traffic engineering for data center networks," in Proc. IEEE International Conference on Network Operations and Management Symposium (APNOMS), pp. 1-6, Sept. 2014.
[5] A. Yassine, H. Rahimi, and S. Shirmohammadi, "Software defined network traffic measurement: Current trends and challenges," in Proc. IEEE Instrumentation & Measurement Magazine, Vol.18 no.2, pp. 42-50, Mar 2015.

Performance Analysis of Device to Device Communication Based on LTE

Abstract:
Unlike traditional cellular network, D2D (Device-to-device) communication allows direct communication between two user equipment (UE) without routing through the Base Station (BS) or core network. D2D communication in LTE network will have many potential advantages including increasing spectral efficiency of the network, reducing transmission delay and network overloading. In this project, we will investigate how D2D communications benefits users, and analyze the performance of D2D communications in LTE network comparing to traditional cellular network.

References:
[1] M. Hicham, N. Abghour and M. Ouzzif, "Device-To-Device (D2D) Communication Under LTE-Advanced Networks", International Journal of Wireless & Mobile Networks, vol. 8, no. 1, pp. 11-22, 2016.
[2] Chen, T., Kunnari, E., & Ristaniemi, T. (2014). Device-to-device communication for LTE-advanced network system. Jyväskylä, Finland: University of Jyväskylä. Reports of the Department of Mathematical Information Technology. Series D, Telecommunication, 1/2014.
[3] L. Song, Wireless device-to-device communications and networks, 1st ed. .
[4] L. Wang and H. Tang, Device-to-Device Communications in Cellular Networks, 1st ed.
[5] Smart device to smart device communication, 1st ed. [Place of publication not identified]: SPRINGER, 2016.

Audio and Video Streaming over WIMAX using Riverbed Modeler

Abstract:
IEEE 802.16 Worldwide Interoperability for Microwave Access (WiMAX) is an emerging technology, which is used as a wireless broadband access service being used as an alternative to the wired technologies. High speed internet mobility is the demand of the present time which is being fulfilled by the advancements in the wireless technologies, one such example being WiMAX. In this project, we aim to simulate audio and video content over WiMAX. To implement this, we will be building a network model consisting of WiMAX base and mobile stations in Riverbed Modeler 18.0. Riverbed Modeler is a powerful network simulator tool that provides a user friendly environment to test various technologies. We record a number of parameters such as Jitter, Throughput, Delay, Traffic Sent/Received, to analyze the performance of this network in different scenarios.

References:
[1] W. Hrudey and Lj. Trajkovic, "Streaming video content over IEEE 802.16/WiMAX broadband access," OPNETWORK 2008.
[2] K. Pentikousis et al., "An experimental investigation of VoIP and video streaming over fixed WiMAX," Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks and Workshops, 6th IEEE International Symposium WiOPT 2008.
[3] J. M. Hamodi and R. C. Thool, "Investigate the performance evaluation of IPTV over WiMAX networks," arXiv preprint arXiv:1302.1409 (2013).
[4] S. Alshomrani et al., "QoS of VoIP over WiMAX access networks," International Journal of Computer Science and Telecommunications 3.4 (2012).
[5]Wimax Tutorials. [Online]. Available: https://www.tutorialspoint.com/wimax/index.htm

An Analysis of Handover Performance in Heterogeneous LTE Networks

Abstract:
As the demand for access to mobile broadband services continues to increase, the use of small-cell network nodes in coordination with more traditional macro-cells provides a promising solution to increase overall network capacity. By offloading users from the macro-cell tier to a chosen small-cell, bandwidth on the macro-cell tier can be freed for additional users. Seamless handover is a key component of guaranteeing the expected quality of service while effectively managing resources within these heterogenous networks. This project aims to analyze how handover performance is affected by overlapping macro- and small-cell ranges through the simulation of heterogeneous LTE networks using ns-3.

References:
[1] M. Song, S. Moon and S. Han, "Self-optimization of handover parameters for dynamic small-cell networks," Wireless Communications and Mobile Computing, vol. 15, iss. 11, pp. 1497-1517, Aug. 2015. DOI: 10.1002/wcm.2439
[2] Y. Li, B. Cao and C. Wang, "Handover Schemes in Heterogeneous LTE Networks: Challenges and Opportunities," IEEE Wireless Communications, vol. 23, iss. 2, pp. 112-117, May 2016. DOI: 10.1109/MWC.2016.7462492
[3] G. Gódor et al., "A survey of handover management in LTE-based multi-tier femtocell networks: Requirements, challenges and solutions," Computer Networks, vol. 76, pp. 17-41, Jan. 2015. DOI: 10.1016/j.comnet.2014.10.016
[4] D. Xenakis et al., "Mobility Management for Femtocells in LTE-Advanced: Key Aspects and Survey of Handover Decision Algorithms," IEEE Communications Surveys & Tutorials, vol. 16, pp. 64-91, Jul. 2013. DOI: 10.1109/SURV.2013.060313.00152
[5] J. Ruiz Avilés, M. Toril and S. Luna-Ramírez, "A Femtocell location strategy for improving adaptive traffic sharing in heterogeneous LTE networks," Journal on Wireless Communications and Networking, vol. 15, no. 38, Dec. 2015. DOI: 10.1186/s13638-015-0246-0

Performance Analysis of Wi-Fi using Network Simulator

Abstract:
Wi-Fi (Wireless Fidelity) is widely used for wireless communication and is based on IEEE (Institute of Electrical and Electronics Engineers) 802.11 standard. Wi-Fi allows multiple users to transmit data form one place to another using high frequency radio waves. Nowadays, many devices such as smartphones, laptops, and tablets and other wireless devices can be connected through a single wireless (Wi-Fi) Network. Also, QoS (Quality of Service) is a major factor to support a number of applications that use the Wi-Fi network, so in this regard QoS parameters need to be analyzed for a better performance. In this project, we will compute and analyze the QoS parameters of Wi-Fi network such as throughput, packet delivery ratio, jitter, and end-to-end delayduring VoIP (Voice Over Internet Protocol) using network simulator.

References:
References:
Eric Swanlund, Paven Loodu, Sunny Chowdhury, "Analysis and Performance Evaluation of a Wi-Fi Network using ns-2," School of Engineering Science, Simon Fraser University, 2013.
Jay Kim, Jack Zheng, Paniz Bertsch, "Video Streaming over Wi-Fi," School of Engineering Science, Simon Fraser University, 2015.
Mohsen Hussein Mohammed, Wafa'a Nasser Abdullah, "Performance analysis of VoIP over wired and wirelessnetworks: network implementation in Aden University," IJRET: International Journal of Research in Engineering and Technology,Volume: 05, Issue: 02, February 2016.
A. Ezreik and A. Gheryani, "Design and simulation of wireless networks using ns-2," in Proc. International Conference on Computer Science and Information Technology, Singapore, pp.1-5, April 2012.
Ou, Cheng Jie, Yang, Tian Lin, Chen, Yawen, "VoIP Performance of City-Wide Wi-Fi and LTE," School of Engineering Science, Simon Fraser University, 2014.

Simulation of Wireless Network Technology in Simon Fraser University's high-density lecture theatres using Riverbed Modeler

Abstract:
Slow wireless network have been an on-going issue at Simon Fraser University. In this project, we will replicate the wireless network infrastructure from the lecture halls all the way to the Data Centre in Riverbed Modeler and/or NS2-35. Then, we will simulate a high-density environment with 100+ devices connecting to four or more wireless access points. We would like to see the many possible causes to network slowness. If time permits, find a solution to our wireless network slowness issue.

References:
[1] G. Bianchi, "Performance analysis of the IEEE 802.11 distributed coordination function," in IEEE Journal on Selected Areas in Communications, vol. 18, no. 3, pp. 535-547, March 2000.
[2] B. P. Crow, I. Widjaja, J. G. Kim and P. T. Sakai, "IEEE 802.11 Wireless Local Area Networks," in IEEE Communications Magazine, vol. 35, no. 9, pp. 116-126, Sept. 1997.
[3] Kaixin Xu, M. Gerla and Sang Bae, "How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks," Global Telecommunications Conference, 2002. GLOBECOM '02. IEEE, 2002, pp. 72-76 vol.1.
[4] S. A. Chowdhury, M. T. Islam, F. T. Jaigirdar, M. R. U. Faruqui and S. A. Noor, "Performance study and simulation analysis of CSMA and IEEE 802.11 in wireless sensor networks and limitations of IEEE 802.11," 2009 12th International Conference on Computers and Information Technology, Dhaka, 2009, pp. 431-436.
[5] A. Pyattaev, K. Johnsson, S. Andreev and Y. Koucheryavy, "Communication challenges in high-density deployments of wearable wireless devices," in IEEE Wireless Communications, vol. 22, no. 1, pp. 12-18, February 2015.

Performance Evaluation of LTE while streaming audio, video and VoIP with and without Handover

Abstract:
LTE (Long Term evolution) is a wireless broadband technology designed to support roaming internet access via cell phones and handheld devices. It is a 3GPP standard for wireless transmission systems. As it’s architecture is fully Internet Protocol (IP) based, unlike other cellular internet protocols it supports web browsing, Voice over IP (VoIP) and other IP based services well. Further, as mobility speed support increases, handover occurs very often. In this project we will simulate LTE network and evaluate its performance while sending audio, video and VoIP content over this network. Further, we will evaluate LTE network performance as the mobile node moves from one base station to other i.e. handover occurs.

References:
[1] Alessandro Vizzari, Analysis of VoLTE End-To-End Quality of Service using LTE", UKSim-AMSS 8th European Modelling Symposium, 2014
[2] Ibraheem Shayea, Mahamod Ismail, Rosdiadee Nordin, "Advanced handover techniques in LTE-Advanced", International Computer and Communication Engineering (ICCCE) Conference, 2012
[3] Andre M. Cavalcante, Erika Almeida; Robson D. Vieira, Fabiano Chaves, Rafael C. D. Paiva, Fuad Abinader, Sayantan Choudhury, Esa Tuomaala, Klaus Doppler, "Performance Evaluation of LTE and Wi-Fi Coexistence in Unlicensed band", IEEE 77th Vehicular Technology Conference, 2013
[4] Ramona Pinto, "LTE:Long Term Evolution", International Journal of Scientific & Engineering Research Volume 3, Issue 12, December 2012
[5] Md. Abbas Ali, Alcardo Alex Barakabitze, "Evolution of LTE and Related Technologies towards IMT-Advanced", International Journal of Advanced Research in Computer Science and Software Engineering, Vol 5, Issue 1, January 2015

Cloud Gaming

Abstract:
Music and video streaming services such as Netflix, YouTube, Spotify have changed the way we use media on TVs, PCs, Tablets, and phones because they offer the convenience of extensive cloud-managed libraries of content with stream-anywhere capabilities.
Similarly, cloud gaming or game streaming is changing the way we play. Cloud gaming has evolved over the years and became a reality only a few years ago. Cloud gaming enables playing visually rich games locally irrespective of its processing power because the game is rendered on powerful remote machines hosted on cloud and sequence of game/video frames are streamed back to the player over the Internet. This is very helpful for users with less powerful computational devices that are otherwise incapable of playing high quality games.
In this project, I plan to simulate cloud gaming using Riverbed Modeler.

References:
[1] (February 2017) D. Chan, “On the feasibility of video gaming on demand in wireless LAN/WiMAX” [Online]. Available: http://www.ensc.sfu.ca/~ljilja/ENSC895/Projects/chan/vgod_report.pdf.
[2] S. Ryan, L. Jiangchuan, C. Edith, and C.Yong “Cloud gaming: architecture and performance”, IEEE Network. Mag., vol. 27, no. 4, pp. 16-21, Aug. 2013.
[3] C. Seong, Y. Chau, and C. Ngai, “Cloud gaming: a green solution to massive multiplayer online games,” IEEE Wirel. Commun. Mag., vol. 21, no. 4, pp. 78–87, Aug. 2014.
[4] M. Bryce and G. Simon, "Is cloud gaming the future of the gaming industry?," in Proc. IEEE ICUFN 2015, Sapporo, Japan, July 2015, pp. 969-972.
[5] D. Jie, C. Felix, T. Gareth, and U. Steve, "Behind the game: Exploring the twitch streaming platform," in Proc. IEEE NETGAMES 2015, Zagreb, Croatia, Dec. 2015, pp. 1-6.