IoT and Cloud Convergence: Opportunities and Challenges

A. Rahim Biswas Create-Net, Italy

Outline

IoT and Cloud vision and requirements

Convergence approach’s Example of existing platform Emerging challenges of IoT/Cloud

"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 "

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?

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

IoT Enablers

Cloud

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)

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)

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?

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

Cloud-centric IoT (Bring IoT functionalities in Cloud)

IoT-Centric Cloud (Bring Cloud functionalities in IoT

Convergence approach’s

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

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

Carriots platform as a service design for IoT and M2M application

Carriots Cloud platform

Axeda IoT Cloud Services

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.

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Cloud-centric IoT platform

IoT Cloud Platform

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Cognitive capability

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)

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)

IoT-Centric cloud computing

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)

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)

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)

iCore Project IoT Framework

Thank you very muchQuestions

abdur.rahim@create-net.org