On Programmable Data Plane Network Switches and their Applications to IoT systems

Abstract: In Industry IoT systems, the data generated by IoT devices are forwarded to other intermediate nodes such as aggregation devices, gateway/sink nodes for processing. Traditional network switches and IoT gateway nodes are configurable, but not programmable. They can only perform a small set of specific switching-related activities. The advent of programmable data planes (PDP), realized using hardware switches, and the Programming Protocol-independent Packet Processors (P4) language enable a switch to be customizable and field-programmable. In this talk, we show how PDP and P4 concepts can be used to realize in-network computing for Industrial IoT systems. (This work was done jointly with Ganesh Sankaran and Harsh Gondaliya).

Professor Krishna Moorthy Sivalingam Department of Computer Science and Engineering Indian Institute of Technology (IIT) Madras Chennai - 600036, INDIA

Brief Bio: Krishna Sivalingam is an Institute Chair Professor in IIT Madras; and earlier, a faculty member at University of Maryland, Baltimore County; Washington State University; and University of North Carolina Greensboro. He received his Ph.D. and M.S. in Computer Science from SUNY Buffalo; B.E. degree in Computer Science and Engineering from Anna University's College of Engineering Guindy, Chennai. He has served as Editor-in-Chief of Springer Photonic Network Communications Journal and EAI Transactions on Future Internet. He is a Fellow of IEEE, Fellow of INAE India and ACM Distinguished Scientist.

Stateful Container Migration in Geo-Distributed Environments

Abstract: Container migration is an essential functionality in large-scale geo-distributed platforms such as fog computing infrastructures. Contrary to migration within a single data center, long-distance migration requires that the container's disk state should be migrated together with the container itself. However, this state may be arbitrarily large, so its transfer may create long periods of unavailability for the container. We propose to exploit the layered structure provided by the OverlayFS file system to transparently snapshot the volumes' contents and transfer them prior to the actual container migration. We implemented this mechanism within Kubernetes. Our evaluations based on a real fog computing test-bed show that our techniques reduce the container's downtime during migration by a factor 4 compared to a baseline with no volume checkpoint.

Professor Guillaume Pierre Univ Rennes, Inria, CNRS, IRISA Leader of the Myriads research team Campus universitaire de Beaulieu 263 Avenue du Général Leclerc – Bât 12 35042 Rennes cedex, France

Brief Bio: Guillaume Pierre is a Professor in Computer Science at the University of Rennes 1, France. His main interests are Fog computing, Cloud computing, and all other forms of large-scale distributed systems. He took part in several European and EIT Digital projects and acted as the lead designer of the ConPaaS platform-as-a-Service environment. He is the coordinator of the FogGuru H2020 Maria-Sklodowska project, and the leader of the Myriads research team at INRIA/IRISA.