Software‐defined IoT Units for Cyber‐physical Systems Vienna University of Technology Institute for Information Systems Distributed Systems Group Head: Prof. Schahram Dustdar Homepage: www.infosys.tuwien.ac.at/research/viecom/SDIoTCloud/ Software‐defined elastic IoT Cloud Vision Novel Models and Techniques Virtualizing and pooling IoT cloud resources and capabilities of IoT infrastructure. Encapsulating fine-grained IoT resources and IoT capabilities in well-defined API. Providing an ecosystem for software-defined IoT cloud to support multitude of involved stakeholders. Automating provisioning and governance of IoT cloud systems. Enabling new types of cross-domain applications in future smart cities. Software-defined IoT units. Software-defined gateway enables cloud connectivity, exposes data/control points and provides an execution environment for IoT units. A tool-suit for provisioning and runtime governance of software-defined IoT cloud systems. A programing model for the software-defined cloud-scale applications. IoT marketplace for IoT units and IoT artifacts. 1. Software‐defined IoT units Conceptual model of softwaredefined IoT units Different examples of softwaredefined IoT units Provisioning API Software‐defined IoT Unit Runtime controllers Enabling flexible customization Lightweight software‐defined IoT units Non‐functional capabilities Control Points Data Points ... IoT data Communication storage Configuration Elasticity Data Data point GW Security Protocol controller quality History Network runtime Custom Volatile Auto scaling overlay proc. logic Monitoring group controller Sand Component‐ Outliers In‐memory image Key/ValueVPN box CEP model Messaging filter store ... Governance API Late‐bound policies Non‐functional aspects Functional aspects Functional API Functional capabilities Utility cost‐function Runtime mechanisms Software‐defined IoT gateway Atomic software‐defined IoT units Runtime composition Dependency units 2. Software‐defined IoT gateway IoT compute Execution Environment of IoT resources and end-devices (e.g, gateways) Run-time modifications (e.g, of communication protocols) Code distribution Location-aware migrations Enchasing end-devices with reliability, availability, data quality, etc., aspects Fine-grained configuration of IoT capabilities Cloud Connectivity Virtual layer Docker VM OSGi JVM Complex software‐defined IoT unit IoT resource and functionality binding Infrastructure capabilities Fine-grained Support for DevOps principles encapsulation of IoT Policy-based managed resources and IoT configuration capabilities Software-defined API Cost-awareness Unit Unit Unit Unit Unit Storage Unit Unit Unit Operating System Networking Drivers Kernel Unit Docker container Docker container 5. IoT market Governing IoT resources and IoT capabilities Sell/buy IoT artefacts Marketplace User interface Searching IoT cloud infrastructure and platforms Ranking Customer Infrastructure Provider/OEM Permission Contract IoT artifacts IoT Cloud provider Application developer Application repository IoT unit repository Configuration repository Software‐defined IoT gateway 3. Provisioning and governance 4. Application development support Middleware + Domain libraries PatRICIA programming model Scopes Origins & Actions Intents f Entities Binding Car Environment has Owner Golf Course Campus Scalability of programing enabled by Scopes Efficient development with an intuitive Intent-based approach Abstracting low-level processes with Domain libraries Environment agnostic applications based on Origins and Actions Reusable applications Loose coupling due to runtime binding of Entities with physical environments Support for multitude of developers (e.g., domain experts and high-level programmers) PCS Gbot‐enabled PCS Gbot‐enabled PCS Gbot‐enabled PCS Gbot‐enabled G360 G360 G360 G360 Software‐ defined IoT gateway Provisioning and governance tools Custom solution stack Application provisioning Domain application Provisioning framework for software‐defined IoT Deploying IoT units Software‐defined elastic IoT Cloud Infrastructure virtualization Bare‐metal provisioning OpenStack cloud PCS PCS Datacenter datacenters datacenters Automated IoT unit deployment based on TOSCA and SALSA Automated IoT unit composition Managed configuration based on Chef recipes Provisioning with late-bound policies Runtime governance Elastic operations and DevOps principles Enforcement of nonfunctional properties (e.g, reliability, availability, etc.) with plug-in controllers References 1. Stefan Nastic, Sanjin Sehic, Le-Duc Hung, Hong-Linh Truong, and Schahram Dustdar. Provisioning Software-defined IoT Systems in the Cloud. The 2nd International Conference on Future Internet of Things and Cloud (FiCloud-2014), August 27-29, 2014, Barcelona, Spain. 2. Stefan Nastic, Sanjin Sehic, Michael Vögler, Hong-Linh Truong, and Schahram Dustdar. PatRICIA - a Novel Programming Model for IoT Applications on Cloud Platforms. International Conference on Service Oriented Computing and Applications (SOCA 2013), December 16-18, 2013, Hawaii, USA. 3. Sanjin Sehic, Stefan Nastic, Michael Vögler, Fei Li, and Schahram Dustdar. Entity-Adaptation: A Programming Model for Development of Context-Aware Applications. Symposium On Applied Computing (SAC 2014), March 24-28, 2014, Gyeongju, Republic of Korea.
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