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Internet of thing (IoT and cloud convergence opportunitis and challenges

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Internet of thing (IoT and cloud convergence opportunitis and challenges

  1. 1. IoT and Cloud Convergence: Opportunities and Challenges A. Rahim Biswas Create-Net, Italy
  2. 2. Outline  IoT and Cloud vision and requirements  Convergence approach’s  Example of existing platform  Emerging challenges of IoT/Cloud
  3. 3. "Cloud computing a new business model and management (e.g. data and device) paradigm of Internet of thing" Statements ”IoT is to enlarge the opportunities of cloud service provisioning "
  4. 4.  IoT is the vision of future connected physical and virtual world, several billions of heterogeneous devices/objects and big data, to provide smart and personalize services to users  Connectivity, convergence and intelligent everywhere What is IoT?
  5. 5.  A real-time online platform that  Dynamically management IoT data/objects and  Provide connectivity of the diverse heterogeneous objects, considering the interoperability issues  Deriving the value (useful information and knowledge) from this connection and large volume of IoT data Major IoT platform requirements
  6. 6. IoT Enablers Cloud
  7. 7.  Ubiquitous accessibility and connectivity, facilitation of maximum accessibility as well as connectivity of the diverse heterogeneous objects/services and various volumes of users including mobility  Dynamic management/orchestration of users, billions of devices as well as massive amount of data produced by those connected devices IoT platform functionalities (1/2)
  8. 8.  Maximum resources utilization, enabling of sharing of IoT resources (objects, applications, platforms)  Personalization of users and services, providing services based on users preference and requirements including real-world context IoT platform functionalities (2/2)
  9. 9.  Dynamic resources sharing platform  Offers scalable, elasticity resources and services management  Location independent can be access from any where  Reliable and easy access of the services  Large amount of computing and storage resources  It is also more homogeneous What Cloud offers?
  10. 10.  For IoT to provide cloud computing functionalities, to support on realization of IoT vision  For Cloud, IoT to provide huge opportunities for cloud services Convergence of IoT and Cloud
  11. 11.  Cloud-centric IoT (Bring IoT functionalities in Cloud)  IoT-Centric Cloud (Bring Cloud functionalities in IoT Convergence approach’s
  12. 12.  Bring IoT data in the cloud  Processing and computing the data and deploy management tools in cloud  This approach this good if service are provided among objects located in multiple location  Giving several example (market platform, project platform..) Cloud-centric IoT
  13. 13.  ThingWorx IoT software Platform  Providing IoT service for SMEs, industries, business chain  It provides complete application, run-time and intelligent environment ThingWorx IoT Software Platfrom
  14. 14.  Carriots platform as a service design for IoT and M2M application Carriots Cloud platform
  15. 15. Axeda IoT Cloud Services
  16. 16. SensorCloud platform  MicroStrain’s SensorCloud™ is a unique sensor data storage, visualization and remote management platform that leverages powerful cloud computing technologies to provide excellent data scalability, rapid visualization, and user programmable analysis.
  17. 17. Cloud-centric IoT platform IoT Cloud Platform hosting databases applicationspartners SI All devicesOur managed devices your devices Simple, scalable, robust, resilient, trustful & secure17 FBConsulting,OneM2Mpresentation;BasedonETSISmartCityWS June2013presentationM.Arndt,ORANGE. Cognitive capability
  18. 18.  IoT infrastructure will provide the opportunities to take services, workloads, applications and large amounts of data and deliver it all to the edge of the network.  Processing and storage of data close to users/near to sources  To distribute data to move it closer to the end-users to eliminate latency, numerous hop, and support mobile computing and data streaming  Creating dense geographical distribution IoT- Centric Cloud (1/2)
  19. 19.  This approach are useful when service is provisioned from the data coming from same location  Supporting end-users security  Data process and service execute locally (distributed cloud processing, sub-work flow, data aggregation locally) IoT- Centric Cloud (2/2)
  20. 20. IoT-Centric cloud computing
  21. 21.  Real-time data processing and service provisioning  “Big data” storage and processing for real-time services  un-structure and semi-structure data coming from distributed sources and requirements to provide real-time/near real-time services  More dynamic configuration/ resources management/orchestration/automated provisioning of resources from/to IoT  Considering performance targets/constraints  Offloading from clients/hosts to cloud  At design and run time  Including mobile users/apps  Dynamic metering when IoT devices are shared Emerging IoT-Cloud challenges (1/3)
  22. 22.  More distributed processing and storage of the massive data as well as cloud functionalities  Decentralized (and infrastructure-less) clouds  Processing capabilities and data positioned closer to users  Migration of servers to follow mobile users  Virtualization of IoT devices: Access to advanced resources/specialized hardware, including GPUs, sensors, etc.  Emerging business model: Data-incentive cloud-based applications  Considering data migration issues and avoiding lock-in Emerging IoT-Cloud challenges (2/3)
  23. 23.  Portability of the services  Users experience creation and enablement  Interoperability: Interoperability between cloud/IoT services and infrastructure  Accountability- Services and data hosted and executed across borders  Enabling reliable and real-time communication from objects to applications and vice-versa; Emerging IoT-Cloud Challenges (3/3)
  24. 24. iCore Project IoT Framework
  25. 25. Thank you very much Questions abdur.rahim@create-net.org

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