Internet of Things (IoT): A Vision, Architectural Elements

and Future Directions

The Presentation Include The Following:

▪ Introduction▪ Overall IoT vision and the technologies that will achieve the it▪ Application domains in IoT with a new approach in defining

them▪ Cloud centric Internet of Things realization and challenges▪ Case study of data analytics on the Aneka/Azure cloud

platform▪ Open Challenges and Future Directions▪ Summary and Conclusions

Introduction

What is Internet of things ?RFID , Sensor network technologies Enormous amount of data Cloud copmuting

Internet of Things for smart environment

“Interconnection of sensing and actuating devices providing the ability to share information across platforms through a unified framework, developing a common operating picture for enabling innovative applications”

Smart connectivit

y and context-aware

computation

Shared situation

users appliance

s

Software architectures pervasive networks process convey

Analytics tools

autonomous smart behavior

Internet revolution People at an unprecedented scale and paceThe next revolutionObjects to create a Smart Environment

2011More

than 7 billion2013

9 billion

202024 billion

Overtoo

k the

acual n

umber of

people

Number of interconnected Devices

1.3 trillion revenue opportunities for mobile network

RogersHuman centricHuman creativity Exploiting ,extending capabilities

Caceres and FridayTwo critical technologies for growing infrastructure Cloud Computing and the Internet of Things

Ubiquitous computing in the next decade

Ubiquitous computing in the next decade

miniature devices having the ability to sense, compute and

communicate wirelessly in short distances

digital electronics

micro-electro-

mechanical systems

technology

wireless communic

ations

IoT components

Hardware

Middleware

Presentation

Wireless sensor networks (WSN)

Spatially distributed autonomous sensors Monitor physical or environmental conditionsTemperature, sound, pressure Pass their data through the network to a main location

Is built of "nodes" Each node is connected to one (several) sensors

The components that make up the WSN

monitoring network

WSN hardware

WSN communicati

on stackMiddleware Secure Data

aggregation

Trends

Google search trends since 2004

Radio Frequency Identification (RFID)

• Enables design of microchips • For Wireless data

communication• Automatic identification of

anything • They are attached • Acting as an electronic barcode

Active avd Passive RFID

Other IOT Elements

IPv4

IPv6

TCP/IP

URN

URL

URC

Addressing schemesData storage and analyticsVisualization

ApplicationsPersonal and

Home• Ubiquitous

healthcare• Home monitoring

system for aged-care

• Control of home equipment

• Home security

Enterprise• Environmental

monitoring• Factory security• Factory

automation• Climate control• Smart

Environment• Air pollution

Utilities• Smart grid• Smart metering• Water network

monitoring• Quality assurance

of drinking water• Monitor irrigation

in agricultural land

Mobile• Smart

transportation• Smart logistics• Traffic

management• Efficient logistics

management

Application domains are chosen based on the scale of the impact of the data

generated

Smart environment application domains

Cloud computing

• It is a kind of internet-based computing,

• where shared resources and information are provided to computers and other devices on-demand

• It is a model for enabling ubiquitous, on-demand access to a shared pool of configurable computing resources

Cloud computing Characteristics

:AgilityCostDevice and location independenceMaintenanceMultitenancyPerformance ReliabilityScalability and elasticity Security

Cloud computing: Service models

Software as a service (SaaS)Users gain access to application software and databases

Platform as a service (PaaS)Application developers

Infrastructure as a service (IaaS)IaaS refers to online services that abstract user from the detail of infrastructure

Cloud computing: Cloud computing types

Private cloudIs cloud infrastructure operated solely for a single organization

Public cloudServices are rendered over a network that is open for public use

Hybrid cloudHybrid cloud is a composition of two or more clouds

Cloud centric Internet of Things

In order to realize the full potential of cloud computing a combined framework with a cloud at the center seems to be most viable• Flexibility • Scalable

Conceptual IoT framework with Cloud Computing at the centre

Cloud centric Internet of Things

In this section we describe the cloud platform using

Manjrasoft Aneka and Microsoft Azure platformsDemonstrate how cloud integrates storage, computation

Furthermore, we introduce an important realm of interaction between cloud which is useful for combining public and private clouds using Aneka• This interaction is critical for application developers

Aneka cloud computing platform

• Aneka is a .NET-based application development Platform-as-a-Service (PaaS)

• It can utilize storage and compute resources of both public and private clouds

• It offers a runtime environment and a set of APIs that enable developers to build customized applications

• For the application developer, the cloud service as well as ubiquitous sensor data is hidden

Overview of Aneka within Internet of Things Architecture

Aneka cloud computing platform

• Automatic management of clouds for hosting and delivering IoT services as SaaS applications

• Components are to be put in place to schedule and provision resources with a higher level of accuracy to support IoT applications

• The autonomic management system will tightly integrate the following services with the Aneka framework• Accounting• Monitoring and Profiling• Scheduling• Dynamic Provisioning

Application scheduler and Dynamic Resource Provisioning in Aneka for IoT applications

The Aneka scheduler assigning each resource to a

task in an application QoS parameters and the

overall cost for the service provider

The Dynamic Resource Provisioning

For provisioning and managing virtualised

resourcesIn the private and public cloud

computingDirected by the application

scheduler

Microsoft Azure

Is a cloud computing platform and infrastructureFor building, deploying and managing Applications and ServicesProvides both PaaS and IaaS services Supports many different programming languages

Microsoft Azure Components

Microsoft Azure SQL Azure

AppFabricAzure

Marketplace

IoT Sensor Data Analytics SaaS using Aneka and Microsoft Azure

Aneka can launch any number of instances on the Azure cloud to run their applications

Tools and data needs to be shared

There are two major Firstly, Interaction between clouds

Secondly, Data analytics and artificial intelligence tools requires huge resources

Schematic of Aneka/Azure Interaction for data analytics application

IoT Sensor Data Analytics SaaS using Aneka and Microsoft Azure

For seamless independent IoT working architecture is SaaS to be updated One of the key design goals of IoT web application is, it would be extensible

Management Extensibility Framework (MEF)• It is a library for creating lightweight, extensible applications• It allows application developers to discover and use extensions with no

configuration required• It also lets extension developers easily encapsulate code

Open Challenges and Future Directions

Architecture Energy efficient sensing

Secure reprogrammable networks and

Privacy

Quality of Service

New protocols Participatory Sensing Data mining GIS based

visualization

Cloud Computing

International Activities

Roadmap of key technological developments in the context of IoT application domains envisioned

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