Changes between Version 20 and Version 21 of GEC25Agenda/Demos
- Timestamp:
- 03/01/17 11:07:17 (7 years ago)
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GEC25Agenda/Demos
v20 v21 56 56 __Authors:__ Bhushan Suresh, Divyashri Bhat, Michael Zink - University of Massachusetts 57 57 58 The project focuses on providing students an interacting classroom experience with interesting course modules. A wide variety of course modules with varying degrees of complexity have been developed so far. VCNL offers a web-based tool using JUPYTER, that allows students to automate their experiment procedure and graph the results. The OpenFlow logic for the assignments is implemented in Python using RYU controller.58 The project focuses on providing students an interacting classroom experience with interesting course modules. A wide variety of course modules with varying degrees of complexity have been developed so far. VCNL offers a web-based tool using JUPYTER, that allows students to automate their experiment procedure and graph the results. The !OpenFlow logic for the assignments is implemented in Python using RYU controller. 59 59 60 60 == Novel Internet access service with online traffic engineering of elephant flows == … … 74 74 __Authors:__ Ryan Izard, Junaid Zulfiqar, Khayam Anjam, Caleb Linduff - Clemson University 75 75 76 With the recent rise in cloud computing, applications are routinely accessing and interacting with data on remote resources. As data sizes become increasingly large, often combined with their locations being far from the applications, the well known impact of lower TCP throughput over large delay bandwidth product paths becomes more significant to these applications. While myriads of solutions exist to alleviate the problem, they require specialized software at both the application host and the remote data server, making it hard to scale up to a large range of applications and execution environments. Steroid OpenFlow Service (SOS) is a scalable, SDN-based network service that can transparently improve the performance of TCP-based data transfers. We will demonstrate the simplicity and scalability of the SOS architecture and how it can be flexibly deployed to to improve TCP data transfers across experimental, virtual cloud-based, and even production network environments.76 With the recent rise in cloud computing, applications are routinely accessing and interacting with data on remote resources. As data sizes become increasingly large, often combined with their locations being far from the applications, the well known impact of lower TCP throughput over large delay bandwidth product paths becomes more significant to these applications. While myriads of solutions exist to alleviate the problem, they require specialized software at both the application host and the remote data server, making it hard to scale up to a large range of applications and execution environments. Steroid !OpenFlow Service (SOS) is a scalable, SDN-based network service that can transparently improve the performance of TCP-based data transfers. We will demonstrate the simplicity and scalability of the SOS architecture and how it can be flexibly deployed to to improve TCP data transfers across experimental, virtual cloud-based, and even production network environments. 77 77 78 78 == GENI Wireless Testbed: A flexible open ecosystem for wireless communications research == … … 96 96 __Authors:__ Dr. Xenia Mountrouidou, Mac Knight - College of Charleston 97 97 98 The demo will consist of showing how SDN can be leveraged to detect and mitigate a SYN flood denial of service attack. An OpenFlow switch is used to duplicate traffic to a monitor that is running an IDS. The monitor then alerts a controller when it believes an attack is taking place. If the controller confirms there is malicious traffic, action is taken and the attack is mitigated. In the demo will go into more detail on how the how the scripts running on the monitor and controller detect and mitigate the malicious traffic. In addition using GENI Desktop graphs, we will show visually when the attack occurred and when it was mitigated.98 The demo will consist of showing how SDN can be leveraged to detect and mitigate a SYN flood denial of service attack. An !OpenFlow switch is used to duplicate traffic to a monitor that is running an IDS. The monitor then alerts a controller when it believes an attack is taking place. If the controller confirms there is malicious traffic, action is taken and the attack is mitigated. In the demo will go into more detail on how the how the scripts running on the monitor and controller detect and mitigate the malicious traffic. In addition using GENI Desktop graphs, we will show visually when the attack occurred and when it was mitigated. 99 99 100 100 == Incident-Supporting Visual Cloud Computing utilizing Software-Defined Networking == … … 103 103 104 104 105 "We are developing a new set of cloud/fog protocols to support computer vision applications related to the field of real-time visual situational awareness (e.g., tracking objects of interest, 3D scene reconstructions, augmented reality-based communications, etc) which are critical to first responders. These applications require seamless processing of imagery/video at the network edge and core cloud platforms with resilient performance that caters to user Quality of Experience (QoE) expectations. The absence or poor wireless communications at the edge networks near incident scenes further complicate an exploitation of these applications. As part of our project activities, we have setup a realistic virtual environment testbed in GENI and developed an SDN controller to evaluate our hybrid cloud-fog architecture along with the proposed algorithms. Specifically, to enable core-cloud computation we used high-performance nodes for handling large instance processing (e.g., tracking of objects, data fusion for the 3D scene reconstruction). We also used low-performance nodes for handling small instance processing (e.g., image tilling, stabilization, geo-projection) through fogs at the SDN network-edge. To transfer data between the core-cloud and fogs over SDN network, we used OpenFlow Virtual Switches. Finally, to compensate the lack of wireless networking at the edge in GENI our testbed setup also included campus enterprise network with connected clients. In addition to visual data processing speed up, our preliminary experiment results indicate the need for sustained throughput at the wireless edge networks, and use of novel geographical routing protocols to enhance responders QoE.105 "We are developing a new set of cloud/fog protocols to support computer vision applications related to the field of real-time visual situational awareness (e.g., tracking objects of interest, 3D scene reconstructions, augmented reality-based communications, etc) which are critical to first responders. These applications require seamless processing of imagery/video at the network edge and core cloud platforms with resilient performance that caters to user Quality of Experience (QoE) expectations. The absence or poor wireless communications at the edge networks near incident scenes further complicate an exploitation of these applications. As part of our project activities, we have setup a realistic virtual environment testbed in GENI and developed an SDN controller to evaluate our hybrid cloud-fog architecture along with the proposed algorithms. Specifically, to enable core-cloud computation we used high-performance nodes for handling large instance processing (e.g., tracking of objects, data fusion for the 3D scene reconstruction). We also used low-performance nodes for handling small instance processing (e.g., image tilling, stabilization, geo-projection) through fogs at the SDN network-edge. To transfer data between the core-cloud and fogs over SDN network, we used !OpenFlow Virtual Switches. Finally, to compensate the lack of wireless networking at the edge in GENI our testbed setup also included campus enterprise network with connected clients. In addition to visual data processing speed up, our preliminary experiment results indicate the need for sustained throughput at the wireless edge networks, and use of novel geographical routing protocols to enhance responders QoE. 106 106 At the workshop, we will share what barriers we are overcoming in GENI to create a realistic cloud-fog testbed, and how we are building upon these research results on performance engineering of public safety applications. In addition, we will share how we are working towards setting up a city-scale testbed with city collaborator sites and first responder agencies." 107 107
