Service composition for IP smart object using realtime Web protocols
- 1. Service composition for IP smart object using realtime Web protocols: Concept and research challenges
- 2. 1. Introduction 2. Full-IP IoT and smart object services 3. Service composition for smart objects. 4. Areview of IoT service composition 5.Research challenges 6. Conclusion 2/19
- 3. Full-IP IOT making smart object services (data and events) available and accessible to different end-user applications, using open and standardized protocols is still a challenging task introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 3/19 Recent advancement in IoT technologies such as low power wireless communication links (e.g., IEEE 802.15.4), light-weight IP networking stacks (e.g., uIP), and new routing protocols (e.g., IPv6 Routing Protocol for Low-power and Lossy networks — RPL) allows smart objects, regardless of their limited computing and communication capabilities, to be part of the global network, the Internet IP networks of smart objects IP-based ecosystem
- 4. Two question 1. how to make smart objects be able to communicate over the Internet 2. how their services can be composed to create new and creative applications some realtime Web protocols specially designed for IP smart objects and compliant to open Web standards such as devices profile for Web services (DPWS) and Constrained Application Protocol (CoAP) it can be realized as service composition problem, one of the core principles of Service-Oriented Computing. Advanced functionalities can then be created by combining a set of atomic services in the form of composite services introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 4/19
- 5. introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion cornerstones of IoT power source Sensor And actuator Communi -cation module Tiny Micro- processor embedded systems mobile phones radio frequency identification (RFID) tags/readers wireless sensor networks (WSNs) sensor nodes. 5/19
- 6. 6LoWPAN:IPv6 LoW Power wireless personal Area Networks Low Power Low Datarate Low Cost 6 Wireless Personal Area Networks 802.15.4 standard which defines the operation of low-rate wireless personal area networks IPV6 packet 1280 Bytes 802.15.4 packet 127 Bytes introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 6/19 IPV4 Addr : 32 bits IPV6 Addr : 128 bits
- 7. introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion IP and 6LoWPAN protocol stack in reference to layers of theTCP/IP networking model. 7/19
- 8. In order to connect 6LoWPAN networks to other IP networks, 6LoWPAN Edge Routers (6EdRs) are usually deployed at the edge of 6LoWPAN to perform two essential tasks: adaptation between 6LoWPAN and regular IPv6 networks and routing the IP traffic in and out of the 6LoWPAN introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 8/19
- 9. How will the smart objects interact in the future IoT applications? There are currently several candidate realtime Web protocols for IoT communication including MQTT (Message QueueTelemetryTransport) XMPP RFC 3920 (Extensible Messaging and Presence Protocol) DPWS CoAP an application standard for bringing Web services to smart objects by adopting the concepts of the W3C Web Service. lightweight and can comply with many of the requirements of event-driven and pervasive IoT applications such as dynamic discovery and event notification introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 9/19
- 10. CoAP is an application layer protocol that enables web services for even the most constrained devices and networks, while integrating with the web architecture and HTTP. 802.15.4 6LoWPAN UDP CoAP Resources Sensor Proxy Server Client CoAP HTTP HTTP Constrained Enviroments Low-power Lossy, high packet error rates Low thtoughpunt of 10s of kbps Internet 01 CoAP is an application layer protocol that enables web services for even the most constrained devices and networks, while integrating with the web architecture and HTTP. introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion Following REST architectual 10/19
- 11. introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 11/19
- 12. conventional Web services can thrive along with smart object services to create a new generation of truly smart and ubiquitous applications introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion These new Web services of smart objects will be existed in three forms Static services Event services Periodic services 12/19
- 13. Service Composition:Service composition is a collection of services where ,many smaller services are combined together to a larger service. how to aggregate smart object services to create novel applications Service composition aims to reuse several existing component services (or atomic services) by joining them in creative ways. The idea, when applied to IoT, promises to bring in an acceleration for the creation of IoT applications introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 13/19
- 14. introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion Service composition for smart objects Service composition in the IoT, can bring new solutions to solve the integration issues that have existed in many classical IoT scenarios. A smart home is equipped with different types of IP appliances: battery-operated temperature sensor, battery-operated motion sensor (using Passive Infrared sensor), TV, lamps, air conditioner, security camera, alarm, electronic door lock, etc. They create a (ad hoc) home network in which these appliances can communicate to each other to carry out automated tasks. For example,when an owner arrives home, the door lock can identify him and open the doors, signal the light on, and communicate with other appliances to prepare a home-arrival composite service 14/19
- 15. problem introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion Given a set of smart object services as the union of three sets of three service types: static services, event services, and periodic services, a set of requirements R, and a set of cost functions C, find a composite service by aggregating selected services in an appropriate order to meet the requirements R and minimize the cost C. 15/19
- 16. requirements introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion Asynchrony Discovery Management requirements QoS awareness Data/event- driven services Resource constraint Low-power and Lossy communication link Power efficiency DPWS effectively lessens the SOAP messages and incorporates the discovery and the eventing mechanisms for smart objects. Web service Using UDDI DPWS COAP In smart object architectures, data processing and response generation may not happen immediately LLNs There is a need to discover available services to carry out service composition verification Execution monitoring √response time √ price √ availability 16/19
- 17. introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion Service composition approaches in IoT two common approaches for service composition based on two different service models service-oriented middleware RESTful APIs Service-oriented middleware that supports the service-oriented interaction pattern through the provision of proper functionalities for deploying, publishing/discovering and accessing services at runtime. In this abstraction model, to create a composite service, a description language is normally used to describe its component services and the interaction between these services in the form of a workflow. supported byW3CWeb Service technology with many open standards such as SOAP,WSDL,WS-BPEL REST has emerged as a predominant Web design model with more than ten thousand RESTful APIs (services) at the time of this article9 to facilitate a similar number of mashups that are weaving today's Web. the RESTful service abstraction advocated by many researchers and professionals is an essential step to provision mashups in IoT systems integrate smart objects of different forms ranging from RFID, toWSNs, to embedded systems, to the Web by representing their data and events using RESTfulAPIs 17/19
- 18. Research challenges in service composition Composite service interface description RESTful service composition Recursiveness Semantic composition Context- awareness Hybrid composition Privacy and security introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 18/19
- 19. -Service composition in IoT promotes the idea of assembling smart object services in novel and creative ways into composite services that can be used in multiple IoT application domains to augment the power of the IoT. -By the analysis of the service composition problem and its challenges along with a review of its early-stage studies, we hope to serve as the start for upcoming research in the field and identify some possible approaches to these challenges. Conclusion introduction Full-IP IoT and smart object services IoT service composition Research challenges Conclusion 19/19