Internet of Things Overview challenges and solutions Salvatore

Internet of Things Overview, challenges and solutions Salvatore Distefano Kazan Federal University sdistefano@kpfu. ru

Agenda 2 Io. T Smart Devices Trends Issues and Challenges Io. E, Fog Computing, Co. T, SDT Social and Urban Computing @ KFU

Io. T 3 “Io. T is the network of physical objects - devices, vehicles, buildings and other items embedded with electronics, software, sensors, and network connectivity - enabling these objects to collect and exchange data. ” "Internet of Things Global Standards Initiative". ITU. Social and Urban Computing @ KFU

Smart Devices 4 Social and Urban Computing @ KFU

Trends 5 Social and Urban Computing @ KFU

Trends 6 Social and Urban Computing @ KFU

Issues and Challenges Issues 7 Not smart/ Internet enabled devices (e. g. sensors and actuators), Not smart objects and things Challenges Io. T-zation, turn to smart Interconnections, Network Identify and categorize things Management (things and data) Social and Urban Computing @ KFU

Io. T-zation 8 Add network interface to existing “things” Arduino Standard interface Highly programmable and configurable Intel Galileo Samsung Artik Nanode, Pinguino, Teense, … Raspberry … Social and Urban Computing @ KFU

Networking Heterogeneous 9 nodes-things Communication protocols and mechanisms Unmanned Machine-to-Machine interaction (M 2 M) Co. AP: a light HTTP protocol MQTT: a Pub. Sub system All. Joyn: “discovery” of resources and services Distributed -> No Control Best effort -> No Guarantees Social and Urban Computing @ KFU

Identify Things 10 What is a thing? Need of a common knowledge base, semantics, ontologies Sensor and actuator types and metrics OGC Sensor Web Enablement (SWE), Sensor Model Language (SML), (W 3 C) Semantic Sensor Network (SSN) Semantic Web XML, Resource Description Framework RDL, OWL, Dynamic semantics Web of Things Social and Urban Computing @ KFU

Management Wide-scale 1 1 – billions of things Huge amount of data (Zettabytes 2^70 -10^21) Solutions Distributed, Autonomic, self-organizing Io. T-Cloud convergence: ubiquitous Technological -> Cloud support Io. T - Saa. S Methodological -> adopt the Cloud-service oriented paradigm to the provisioning of things Cloud of things, Things as a Service - Iaa. S Software defined and virtualized ecosystems SD things, SD cities, SDIo. T Social and Urban Computing @ KFU

Io. E 1 2 Social and Urban Computing @ KFU

Fog Computing 13 Aims at extending Cloud to the edge of an enterprise's network Facilitates the end devices-Cloud compute, storage and networking interactions Consists of a control plane and a data plane Emphasizes proximity to end-users and client objectives, dense geographical distribution and local resource pooling, quality of service (Qo. S) and edge analytics/stream mining Social and Urban Computing @ KFU

Ideas and Projects Io. T, Cloud and Smart Cities Sensor. Cloud SDC MCSaa. S … Requirements: 14 2 -6 students/project Java and/or Python International partnership, visit opportunities Politecnico di Milano, Massachusetts Institute of Technology, National Technical University Athens, University of Messina, … Cisco, Dog Hunter, Ros. Telecom, … Social and Urban Computing @ KFU

Sensor. Cloud Goal: 15 Implementing a Cloud of sensors Device-centric Involving actuators Social and Urban Computing @ KFU

Software Defined Cities 16 Goal: Smart, Programmable and Customizable Cities Social and Urban Computing @ KFU

Mobile Crowd. Sensing aa. S Goal: 17 Unlock MCS capabilities Social and Urban Computing @ KFU

Thanks! 18 QUESTIONS? Social and Urban Computing @ KFU