Fumagalli, Andrea

Permanent URI for this collectionhttps://hdl.handle.net/10735.1/6708

Andrea Fumagalli is an Associate Professor of Electrical Engineering and head of the Telecommunications Engineering Program. He also serves as the Director of the OpNeAR (Open Networking Advanced Research) Lab. His research interests include:

  • All-Optical Network Architectures and Protocols
  • Photonic Slot Routing
  • Wavelength Routing and Protection Switching
  • Network Optimization and Planning
  • Optical Networks in support of Next Generation Internet (NGI)
  • Multi-hop, Multi-rate Optical Networks
  • Optical and High Speed Network Simulators
  • Performance Analysis of Computer Networks
  • Sensor Networks
  • Cooperative Wireless Networks
  • Dynamic Allocation and Rapid Provisioning of Bandwidth
  • Testing by means of Networking Live Equipment
  • VoIP and Convergent Network in Telecommunications

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Recent Submissions

Now showing 1 - 7 of 7
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    An Experimental End-to-End Delay Study of a Sub-1GHz Wireless Sensor Network with LTE Backhaul
    (Institute of Electrical and Electronics Engineers Inc., 2018-12-09) Arjona, Ricardo; Fumagalli, Andrea; Lee, C.; Vijayasankar, K.; Arjona, Ricardo; Fumagalli, Andrea
    This paper describes an experimental study of network access delay from the end device to the cloud over a network based on Sub IGHz and LTE based network which may find many practical Internet of Things (IoT) applications when network response time is key and must be closely assessed. For this reason, the authors have built a test-bed using a low cost and ease of deployment wireless sensor network (WSN) based on the IEEE802.15.4g standard that is connected to an LTE modem, providing connectivity to a server in the cloud. The test-bed is used to measure end-to-end packet transfer time from the wireless IoT device to the cloud server, also providing a delay breakdown for every segment of the network. The presented results show the delay performance of the loT network architecture under varying values of the loT device periodic reporting time. While the operation modes of the WSN do not significantly affect the network latency, the LTE backhaul connectivity introduces some delay variability, which depends on the loT device periodic reporting time and other factors. By making use of these results the application designer can estimate the achievable network latency and make sure that the loT application requirements are met. © 2018 IEEE.
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    Gilbreth 2.0: An Industrial Cloud Robotics Pick-and-Sort Application
    (Institute of Electrical and Electronics Engineers Inc.) Zhang, Y.; Li, Lianjun; Nicho, J.; Ripperger, M.; Fumagalli, Andrea; Veeraraghavan, M.; Li, Lianjun; Fumagalli, Andrea
    In prior work, we proposed an autonomous object pickand-sort procedure for an industrial robotics application called Gilbreth. In this work, we developed improvements to two critical components of this application: object recognition and motion planning, integrated the new modules to create Gilbreth 2.0, and evaluated its performance. We used a Convolutional Neural Network (CNN) based object-recognition technique, which reduced object recognition time by a factor of 10 when compared to our previous solution, which used correspondence grouping. But this reduction in object recognition time came at a cost of requiring CNN model training time, which was 3 hours with just 13 object types. Our motion planning pipeline improvement was primarily to place constraints on the time threshold for each phase of the robot arm motion. This change enabled an improvement in the percentage of successful trajectories while keeping variance small. Finally, we evaluated the overall pick-and-sort performance of Gilbreth 2.0. We found that if the mean inter-object spawning time was 14 sec, while the mean service time for the robot arm to execute all phases of its motion was 13 sec, an overall pick-and-sort success rate of 71.3% could be achieved. We identified the causes of the failures, and found that further improvements are required to reduce motionplanning failure and grasping failure, and excess-load failure can be reduced further by increasing the inter-object spawning intervals. © 2019 IEEE.
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    A Programmable Optical Network Testbed in Support of C-RAN: A Reliability Study
    (Springer New York LLC) Ramanathan, Shunmugapriya; Tacca, Marco; Razo, Miguel; Mirkhanzadeh, Birkhanzadeh; Kondepu, K.; Giannone, F.; Valcarenghi, L.; Fumagalli, Andrea; 0000-0001-6002-060X (Taca, M); Ramanathan, Shunmugapriya; Tacca, Marco; Razo, Miguel; Fumagalli, Andrea
    With both mobile network services and related data traffic volume on the rise, reliability of the radio access network is of the essence. A number of radio functional splits are defined by 3GPP to offer increased flexibility of implementation and feasibility of new mobile network services. For example, it is possible to implement certain radio functions in the Cloud, an architectural solution referred to as C-RAN. C-RAN solutions require highly reliable backhaul and fronthaul network designs. This paper describes PROnet, a programmable optical software-defined network testbed, which has been upgraded to offer backhaul and fronthaul transport capabilities in support of C-RAN functionalities with increased reliability. The testbed is upgraded with a specially designed 1 + 1 protection mechanism at the Ethernet layer in order to meet the stringent network round-trip requirements imposed by one of the C-RAN functional split options on the fronthaul. ©2019 Springer Science+Business Media, LLC, part of Springer Nature.
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    An Experimental End-To-End Delay Study of a Sub-1GHz Wireless Sensor Network with LTE Backhaul
    (Institute of Electrical and Electronics Engineers Inc.) Arjona, Ricardo; Fumagalli, Andrea; Lee, C.; Vijayasankar, K.; Arjona, Ricardo; Fumagalli, Andrea
    This paper describes an experimental study of network access delay from the end device to the cloud over a network based on Sub IGHz and LTE based network which may find many practical Internet of Things (IoT) applications when network response time is key and must be closely assessed. For this reason, the authors have built a test-bed using a low cost and ease of deployment wireless sensor network (WSN) based on the IEEE802.15.4g standard that is connected to an LTE modem, providing connectivity to a server in the cloud. The test-bed is used to measure end-to-end packet transfer time from the wireless IoT device to the cloud server, also providing a delay breakdown for every segment of the network. The presented results show the delay performance of the loT network architecture under varying values of the loT device periodic reporting time. While the operation modes of the WSN do not significantly affect the network latency, the LTE backhaul connectivity introduces some delay variability, which depends on the loT device periodic reporting time and other factors. By making use of these results the application designer can estimate the achievable network latency and make sure that the loT application requirements are met. © 2018 IEEE.
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    Gilbreth: A Conveyor-Belt Based Pick-and-Sort Industrial Robotics Application
    (Institute of Electrical and Electronics Engineers Inc.) Zhang, Y.; Li, Lianjun; Ripperger, M.; Nicho, J.; Veeraraghavan, M.; Fumagalli, Andrea; Li, Lianjun; Fumagalli, Andrea
    This paper describes an industrial robotics application, named Gilbreth, for picking up objects of different types from a moving conveyor belt and sorting the objects into bins according to type. The environment, which consists of a moving conveyor belt, a break beam sensor, a 3D camera Kinect sensor, a UR10 industrial robot arm with a vacuum gripper, and different object types such as gears, pulleys, piston rods, was inspired by the NIST ARIAC competition. A first version of the Gilbreth application was implemented leveraging many ROS and ROS-I packages. Gazebo was used to simulate the environment, and six external ROS nodes were implemented to execute the required functions. Experimental measurements of CPU usage and processing times of ROS nodes were obtained. Object recognition required the highest processing times that were on par with the time required for the robot arm to execute its movement between four poses: pick approach, pick, pick retreat and place. A need for enhancing the performance of object recognition and Gazebo simulation was identified.
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    Application-Triggered Automatic Distributed Cloud/Network Resource Coordination by Optically Networked Inter/Intra Data Center
    (Institute of Electrical and Electronics Engineers Inc.) Yamanaka, N.; Okamoto, S.; Hirono, M.; Imakiire, Y.; Muro, W.; Sato, T.; Oki, E.; Fumagalli, Andrea; Veeraraghavan, M.; Fumagalli, Andrea
    Everything is being connected to the Cloud and Internet of Things, and network robots with big data analy- sis are creating important applications and services. The cloud network architecture is moving towards mega-cloud data centers (DCs) provided by companies such as Amazon and Google in combination with distributed small DCs or edge computers. While the traditional restrictions im- posed by distance and bandwidth are being overcome by the development of advanced optical interconnection, modern applications impose more complex performance and quality of service requirements in terms of processing power, response time, and data amount. The rise in cloud perfor- mance must be matched by improvements in network per- formance. Therefore, we propose an application-triggered cloud network architecture based on huge-bandwidth optical interconnections. This paper addresses edge/center cloud and edge/edge integration with the use of virtual ma- chine migration. In addition, to reduce energy consumption, an application-triggered intra-DC architecture is described. Using the proposed architectures and technologies can real- ize energy-efficient and high-performance cloud service. © 2009-2012 OSA.
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    Dynamic Optical Networks Based On Digital Subcarrier Multiplexing
    (SPIE) Xu, T.; Fumagalli, Andrea; Hui, R.; Fumagalli, Andrea
    Digital subcarrier multiplexing (DSCM) is a frequency division multiplexing (FDM) technique which makes use of multiple digitally created subcarriers on each wavelength. This circuit-based approach combined with elastic optic networking has the potential to provide high bandwidth efficiency, sub-wavelength level flexible data-rate granularity, and electronic compensation of transmission impairments. We present our study and testbed development about a DSCM crossconnect which allows dynamic bandwidth, frequency and power level assignment of each individual digital subcarrier channel in order to achieve the desired data rate granularity as well as the quality of transmission.

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