Changes between Version 36 and Version 37 of GEC22Agenda/EveningDemoSession
- Timestamp:
- 01/31/15 11:30:14 (9 years ago)
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GEC22Agenda/EveningDemoSession
v36 v37 78 78 79 79 ==== GENI Cinema ==== 80 ''This demonstration shows a live video streaming service for the reception, hosting, routing, and transmission of live video streams using OpenFlow in GENI. Visit us to learn moreabout OpenFlow/SDN use-cases, video streaming and content delivery.''80 ''This demonstration shows a live video streaming service for the reception, hosting, routing, and transmission of live video streams using OpenFlow in GENI. Visit us to learn about OpenFlow/SDN use-cases, video streaming and content delivery.'' 81 81 82 82 Video streaming over the Internet, be it static or live streaming, is rapidly increasing in popularity. Many video streaming services exist to serve a variety of needs, such as video conferencing, entertainment, education, and the broadcast of live events. These services rely heavily on the server application to adapt to increasing and decreasing demand for a particular video resource. Furthermore, they require the reallocation of resources and the restart of the stream when a client stops, starts, and/or switches to a different stream. SDN (Software-Defined Networking) and specifically OpenFlow can be creatively used to reallocate some of these tasks to the network and link layers. … … 92 92 93 93 ==== A Cyber Physical Test Bed for Advanced Manufacturing ==== 94 *''This demonstration shows a new networked advanced manufacturing framework used for micro device assembly. Visit us to learn more about globally distributed manufacturing.''94 *''This demonstration shows a new networked advanced manufacturing framework used for micro device assembly. Visit us to learn about globally distributed advanced manufacturing.'' 95 95 96 96 This demonstration will be a milestone in the area of Digital Manufacturing and involves showcasing a GENI based cyber physical framework for advanced manufacturing. This Next Internet based framework will enable globally distributed software and manufacturing resources to be accessed from different locations to accomplish a complex set of life cycle activities including design analysis, assembly planning, and simulation. The advent of the Next Internet holds the promise of ushering in a new era in Information Centric engineering and digital manufacturing activities. The focus will be on the emerging domain of micro devices assembly, which involves the assembly of micron sized parts using automated micro assembly work cells. … … 113 113 ==== Enhancing an OpenFlow Network with Service Insertion and Payload Inspection ==== 114 114 115 ''This demo shows a working prototype of an application-aware video reconditioning service. Visit us to learn moreabout building value-added network services, such as a context-sensitive service for prioritizing public safety applications or a security service that detects and eliminates malware embedded in unwary user traffic.''115 ''This demo shows a working prototype of an application-aware video reconditioning service. Visit us to learn about building value-added network services, such as a context-sensitive service for prioritizing public safety applications or a security service that detects and eliminates malware embedded in unwary user traffic.'' 116 116 117 117 Today, due to volatile and exploding traffic demands, ISPs need to update their deployed network resources almost continuously, but it is costly to provision increasingly faster and specialized network devices. The impact of a given resource change on the performance of traffic in terms of improving user experience or utility is also hard to predict. Network middle boxes with Deep Packet Inspection (DPI) capabilities have become a necessity for improving the intelligence of networks. OpenFlow, the ''de facto'' early standard for Software-Defined Networking, encourages multi-vendor openness but only allows traffic engineering on an integrated basis for L2-L4. To introduce DPI functionality, we propose and prototype an enhancement to OpenFlow based on the idea of an External Processing Box (EPB) optionally attached to forwarding engines; however, when attached the EPB is seen as an integrated part of the OpenFlow datapath. With an EPB, a network operator can program L7-based policies within an OpenFlow Controller to control service insertion and traffic engineering. The EPB enables the operator the capability to modify traffic behavior based on payload content (i.e. expedite specific traffic); inject/remove information from the payload; and encrypt traffic on the fly. … … 125 125 ==== Experimentation of SDN-Supported Collaborative DDoS Attack Detection and Containment ==== 126 126 127 ''This demo uses collaborative monitoring and correlation to mitigate effects of the network traffic surge of a flooding Denial of Service attack that can cause loss of service for legitimate sites. Visit us to learn moreabout cybersecurity attack detection and mitigation.''127 ''This demo uses collaborative monitoring and correlation to mitigate effects of the network traffic surge of a flooding Denial of Service attack that can cause loss of service for legitimate sites. Visit us to learn about cybersecurity attack detection and mitigation.'' 128 128 129 129 Software-defined networking (SDN) and OpenFlow offer great support to dynamically adapt a network and to access data on different network layers as needed. Such advantages have been driving recent research efforts to develop new security applications and services. However, most studies on attack detection and containment have not really differentiated their solutions from the traditional ones, without fully taking advantage of the unique capabilities provided by SDN. Moreover, even if some of these studies provide interesting visions of what can be achieved, they stop short of presenting realistic application scenarios and experimental results. We present a novel attack detection and containment approach that is coordinated by distributed network monitors and controllers/correlators centralized on an SDN OpenFlow Virtual Switch (OVS). With different views and information availability, these elements collaboratively detect signature constituents of an attack that possess different characteristics of scale and detail. Therefore, this approach is able to not only quickly issue an alert against potential threats followed by careful verification for high accuracy, but also balance the workload on the OVS. We apply the proposed approach to TCP SYN flood attacks using the Global Environment for Network Innovations (GENI). This realistic experimentation has provided us with insightful findings helpful to our goal toward a systematic methodology of SDN-supported attack detection and containment. First, we have demonstrated through experimentation the scalability of our collaborative scheme. Second, we have studied how the combination of alerts by the monitor and deep packet inspection by the correlator, can increase the speed and accuracy of attack identification. Our experiments, in the context of a small to medium corporate network, have demonstrated the effectiveness and scalability of the SDN-supported detection and containment approach. … … 134 134 ==== O3 Network Orchestrator Suite "ODENOS" ==== 135 135 136 *''The demo shows network virtualization (with control delegation) over a wide-area network consisting of multiple vendor/admin domains and multiple layers (optical and packet). Visit us to learn more about building SDN controllers''136 *''The demo shows network virtualization (with control delegation) over a wide-area network consisting of multiple vendor/admin domains and multiple layers (optical and packet). Visit us to learn about building SDN controllers.'' 137 137 138 138 There will be an increasing demand from OTT providers that would like to use carrier wide-area networks with fine-grain control. However, creating an SDN controller for a wide-area network is already hard; A typical wide-area network consists of multiple vendor/admin domains and multiple layers (e.g., optical and packet) and providers would like to have unified control over them. Creating multiple virtualization slices is even harder. ODENOS allows us to create such an SDN controller easily from building blocks. … … 150 150 151 151 ==== GENI Desktop ==== 152 *''This demonstration shows new services in the GENI Desktop environment for experimentation. Visit us to learn how to use GENI Desktop for your experiments.'' 152 153 153 154 GENI Desktop provides a unified interface and environment for experimenters to create, control, manage, interact with and measure the performance of GENI slices. A streamlined GENI Desktop Lite will be demonstrated at this GEC. We have integrated Jacks into the GENI Desktop. We will also demo the slice verification testing service and the revised archival service implemented in GENI Desktop. In addition, we will demo the module for supporting user-defined flows and performance measurement for OVS nodes implemented in the Adopt-A-GENI (AAG) project. … … 160 161 ==== ExoGENI / Science Shakedown ==== 161 162 162 This demonstration will showcase a novel, dynamically adaptable cloud infrastructure driven by the demand of a data-driven scientific workflow. It will use resources from ExoGENI - a Networked Infrastructure-as-a-Service (NIaaS) testbed funded through NSF's Global Environment for Network Innovation (GENI) project. The demo will use a dynamically provisioned slice'to execute a scientific workflow (astronomy and/or genomics). We will demonstrate the features of "ShadowQ" , an entity that predicts future resource needs of a workflow, and runs alongside the Pegasus workflow management system. This workflow introspection feature will be used to adapt the slice to the demands of the workflow as it executes, by adjusting the amount of resources used.163 This demonstration will showcase a novel, dynamically adaptable cloud infrastructure driven by the demand of a data-driven scientific workflow. It will use resources from ExoGENI - a Networked Infrastructure-as-a-Service (NIaaS) testbed funded through NSF's Global Environment for Network Innovations (GENI) project. The demo will use a dynamically provisioned slice to execute a scientific workflow (astronomy and/or genomics). We will demonstrate the features of "ShadowQ" , an entity that predicts future resource needs of a workflow, and runs alongside the Pegasus workflow management system. This workflow introspection feature will be used to adapt the slice to the demands of the workflow as it executes, by adjusting the amount of resources used. 163 164 164 165 Participants: … … 358 359 ==== Supporting Emerging Connected Vehicle Applications with GENI/Wireless and SDN ==== 359 360 360 By the end of the decade, it is expected that the US Department of Transportation (DOT) will require all new vehicles to be capable of communicating with other vehicles and roadside infrastructure through wireless communications. The primary motivation of connected vehicles (CV) envisioned by the US DOT is to reduce the number of crashes that cost more 30,000 lives every year on theUS highways. The crash avoidance applications supported by vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) connectivity exchange safety critical information such as speed, location and direction of movement to assess the crash risk based on the proximity of vehicles. In this demo, we will show how to exploit the GENI Wireless and Cloud resources and SDN to enhance the connected vehicle applications. Particularly, we will build a testbed along a segment of I-85 near Clemson ICAR campus. GENI WiMAX has already covered that segment of interstate. We will further build DSRC enabled RSUs along the road for vehicles to access. On-board units with both WiMAX and DSRC interfaces will be equipped on testing vehicles.361 By the end of the decade, it is expected that the US Department of Transportation (DOT) will require all new vehicles to be capable of communicating with other vehicles and roadside infrastructure through wireless communications. The primary motivation of connected vehicles (CV) envisioned by the US DOT is to reduce the number of crashes that cost more than 30,000 lives every year on US highways. The crash avoidance applications supported by vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) connectivity exchange safety critical information such as speed, location and direction of movement to assess the crash risk based on the proximity of vehicles. In this demo, we will show how to exploit the GENI Wireless and Cloud resources and SDN to enhance the connected vehicle applications. Particularly, we will build a testbed along a segment of I-85 near Clemson ICAR campus. GENI WiMAX has already covered that segment of interstate. We will further build DSRC enabled RSUs along the road for vehicles to access. On-board units with both WiMAX and DSRC interfaces will be equipped on testing vehicles. 361 362 362 363 Participants:
