IoT Cloud

Summary

Today, we delve into the synergistic relationship between the Internet of Things (IoT) and cloud computing, focusing on how cloud technology acts as an enabler for better service delivery in the ever-growing world of IoT. As devices and sensors become increasingly internet-enabled, the integration of IoT with cloud computing not only enhances performance but also aids in efficient data management and real-time processing. This dynamic duo fuels advancements in numerous applications, from smart cities to vehicular data clouds, addressing challenges in scalability, real-time data processing, and heterogeneity. Cloud computing’s flexibility and scalable resources make it an ideal partner for IoT systems, leading to innovative solutions and applications across various industries.

Highlights

• IoT and cloud computing join forces to improve service delivery! ☁️
• Sensors and devices are rapidly becoming internet-enabled, connecting everything to the cloud. 🌐
• The merging of IoT with cloud technology enhances real-time processing and data management. ⚙️
• Smart cities, healthcare, and vehicular systems benefit greatly from IoT cloud synergies. 🏙️
• Cloud platforms offer scalable resources essential for handling IoT's vast data needs. 📈

Key Takeaways

• IoT and cloud computing together revolutionize data management and service delivery. 🤝
• Devices are increasingly interconnected, requiring robust cloud infrastructure. 📡
• Cloud platforms offer scalability and flexibility for IoT applications and data analytics. 📊
• Challenges like scalability and interoperability are addressed through IoT cloud integrations. 🛠️
• IoT cloud solutions find applications in intelligent parking, vehicle data clouds, and smart cities. 🚗

Overview

IoT, or the Internet of Things, is transforming how we interact with technology, embedding internet connectivity into everyday devices and sensors. This connectivity heralds the era of the IoT cloud, where cloud computing provides the necessary infrastructure to manage the vast amounts of data generated. IoT devices range from smart home gadgets to industrial sensors, all contributing to a data-driven ecosystem.

The integration of IoT with cloud platforms solves major challenges in data processing and storage, offering scalable resources to manage real-time data influx. It bridges the gap between physical devices and digital infrastructure, enabling seamless data flow and analytics. Cloud computing ensures that these systems are scalable, flexible, and able to process vast datasets efficiently.

Applications of the IoT cloud are diverse and growing. In smart cities, IoT technologies manage traffic and infrastructure in real-time, while in vehicular systems, cloud services provide intelligent parking solutions and vehicle diagnostics. The potential of IoT cloud solutions is vast, promising innovations that enhance efficiency and connectivity across industries.

Chapters

• 00:00 - 03:00: Introduction to IoT Cloud The chapter introduces the concept of IoT (Internet of Things) Cloud, highlighting its connection to cloud computing. It sets the stage by acknowledging cloud computing as an enabling technology that plays a crucial role in the development and deployment of IoT systems. The discussion is expected to delve into how cloud computing supports IoT, possibly by offering scalable resources, connectivity, and data processing capabilities. This introduction serves as a foundation for understanding the interplay between IoT and cloud technologies.
• 03:00 - 06:00: IoT Cloud Mechanisms and Benefits In this chapter titled 'IoT Cloud Mechanisms and Benefits', the focus is on discussing how the integration of IoT (Internet of Things) with cloud technology can enhance service quality and delivery. The chapter begins with an introduction to IoT as a concept where various devices and 'things' are becoming internet-enabled, creating a network for improved communication and functionality. The discussion emphasizes the transformative potential of IoT in creating more efficient, interconnected systems. The aim is to delve into various mechanisms through which cloud computing supports IoT, thus delivering significant benefits such as scalability, storage, and processing power.
• 06:00 - 09:00: Role of Sensors and Connectivity The chapter discusses the role of sensors in enabling connectivity, particularly in the context of the Internet of Things (IoT). It highlights how different types of sensors can be part of a 'sensor cloud' and their capability to connect to the internet, facilitating a wide array of services. The chapter underscores the massive volume of data generated by these sensors and the potential services that become feasible with such connectivity.
• 09:00 - 12:00: IoT Architecture and Challenges The chapter discusses the integration of cloud technology with IoT (Internet of Things), highlighting the benefits and performance improvements of combining these technologies. It begins by addressing the mechanisms involved in this amalgamation, focusing on how cloud concepts can enhance IoT services. The chapter sets the stage by establishing a clear motivation for this integration: the significant increase in performance for services utilizing these technologies.
• 12:00 - 15:00: IoT and Cloud Integration The chapter discusses the integration of IoT with cloud technology, focusing on the proliferation of sensing devices such as RFID, cameras, and mobile phones. These devices are increasingly available across various mechanisms, leading to what's referred to as a sensor cloud. The chapter emphasizes the importance of these ubiquitously available sensing devices and explores the nuances of their deployment and utilization.
• 15:00 - 18:00: IoT Cloud Components and Frameworks The chapter delves into the components and frameworks of IoT cloud systems, emphasizing their application-oriented nature. It highlights how wireless technology serves as a crucial link between the physical and virtual worlds. This integration allows for the transition of physical elements into a digital format, enabling responsive adaptations to changes in the physical environment, such as adjusting an air conditioning system automatically based on environmental factors.
• 18:00 - 21:00: Examples and Applications of IoT Cloud This chapter discusses the integration and application of IoT in cloud systems. It focuses on a practical example where temperature sensors are used to control air conditioning systems. The sensors monitor temperature changes and accordingly activate, control, or adjust the air conditioning units. This illustrates how IoT devices can interact with cloud-based systems to automate and optimize environmental controls.
• 21:00 - 24:00: Benefits and Future of IoT Cloud The chapter "Benefits and Future of IoT Cloud" discusses the integration and functionality of various sensors in IoT systems. It emphasizes how sensors gather data from their environment to generate information and raise contextual awareness. The chapter highlights the diverse types of sensors and objects, commonly referred to as "things," which use different forms of connectivity, predominantly wireless, to communicate and initiate actions.

IoT Cloud Transcription

• 00:00 - 00:30 hello so today we will ah discuss ah ah one of the another aspect of ah cloud computing rather another company and technology where could computing ah can be an enabling ah technology
• 00:30 - 01:00 ah to have better services and ah better delivery of the of the services right so ah that is what we ah we will discussed today about iot cloud so as ah as ah as we know that iot is a is a buzzword that is internet of things right so that means anything rather anything and everything is now becoming internet enable so that may ah in other sense that there are
• 01:00 - 01:30 ah there are sensors less less ah you we we see in a ah sensor cloud also and there can be other type of a different variety of sensors which are enabling it to be a connected to the internet so anything and everything is connecting to ah to the internet and there is a huge volume of data different variety of services which are which are being possible
• 01:30 - 02:00 with this sort of ah mechanisms so we like to see that ah this iot cloud that is ah amalgamation of this cloud technology or cloud philosophy with this iot ah how we it is likely to help the overall performance of this this services of internet of things or cloud services so ah if if we ah look at the motivation is ah clear that increasing
• 02:00 - 02:30 adaptation of sensing technology ah rfid cameras mobile phones and everything and ah anything and everything so sensor devices are becoming widely available across different type of a mechanisms so when we talk about sensor cloud we are more more concerned about that the sensing device itself where in a what we are looking at these are sensing devices which are ah ubiquitously available so there may be very thin line between ah things ah
• 02:30 - 03:00 but it has a different ah way of handling and more are ah some most of the cases are more application oriented ah type of things like wireless is a network ah or technology play vital role in bridging the gap between physical and virtual world so it helps us to take the physical ah world to the digitized world and enabling things to respond to change to their physical environment right so i say that the my ac will be ah air
• 03:00 - 03:30 containing system will be changing based on the temperature of the things right the the temperature sensor ah activates the air conditioning ah process or it it increases or decreases the temperature or the air conditioning controller system is being being controlled or being activated by these ah sensors
• 03:30 - 04:00 so this sort of ah activities where where the sensors intern activating some other things so those types of things are there right so what we see that ah sensor collect data from their environment generating information raising awareness about the context like we see here there is a variety of sensors ah right ah variety of so called objects or things and they are ah having different sort of connectivity sometimes where or mostly wireless with these
• 04:00 - 04:30 rest of the things right so sensors ah in a sense is a like ah for example sensor in a electronic jacket a person wearing a electronic jacket may can collect information about changes in the external temperature and the parameters of the jacket will be sending like it may the jacket may heat appropriate based on the fall of temperature and so and so forth so ah internet of things ah like ah as ah as we ah here about it for
• 04:30 - 05:00 ah in our ah every literature talking about ah whenever we talk about sensors and other things extending the current internet and providing connection communication and intern networking between the devices that is the physical objects or sometimes call things is a growing trend and often referred as iot or internet of things
• 05:00 - 05:30 so its a scenario in which objects or people are provided with unique identifiers that means has been identified and the ability to transfer data over a network without requiring to human human or human to computer interactions so that means these devices are enable itself to communicate data to the ah to the internet so called right so thing in the internet can be a person with a heart monitoring implant or a farm animal with a biochip transponder
• 05:30 - 06:00 or a automobile that is built in sensors to alert driver when the tire pressure low or it is ah some man functioning some some of the any devices or ah it can be a natural or manmade object that can be assigned in a ip address and so and so forth so that something that is uniquely identified ip address may be one of the mechanism to do that so that it can communicate with these unique ah things right in case of a sensor normal sensor deployment
• 06:00 - 06:30 i may not have a unique identifier i am more concerned about the data which is going to the things right i am more concerned about here ah though the data is important but i still i can i uniquely identify a ah thing or a object so technologies and solutions that enable integration off real world data and services into current information networking technologies are often described under the umbrella term
• 06:30 - 07:00 called internet of things right at thats the ah core of the whole ah whole thing so day to day so called more objects or more things are being connected right so we see ah starting for from vehicle to some of the devices in a lab where the device in a lab or even ah some filtering mechanisms or a ah lighting systems or lights right which are which are
• 07:00 - 07:30 based on the things may be controlled by the things all are ah they all are communicating in case of smart grid also and ah these access control and lot many things right so home daily life devices are getting connected businesses public infrastructure health care and etcetera etcetera so its a its a long list and everyday things are being enabled
• 07:30 - 08:00 so we have the ability to control ah the um the devices actuates some other devices based on the sensed by some other ah some other ah applications and so and so forth so the here it may not be always sensing so it is i i can have it to actuate a thing like i can say have a controller circuit which is being actuated by something by external things like i i switch on the lights switch on the fan or activates something by using a application
• 08:00 - 08:30 on the mobile but the but the light or the electric in electric electric ah switch is being is is a thing or is the iot device where it access a iot device right so it is it is not exactly sensing in the terms the environment but in terms it is being activated by a ah by some ah by some through through a internet so it is in other say i can say any time any
• 08:30 - 09:00 place connectivity for any one and anything so some something like that right any time so any place location space time to anyone and anything so any any objects and type of so people connecting to things like ah it is connected may be to the hospitals to other type of a several ah mechanisms and type of things may be through a mobile device or it
• 09:00 - 09:30 can be things connected to a things like a a car connected to another car or petrol station or mechanics or ah workshops and type of things right so a particular objects if it is malfunctioning or it triggers something to some other ah network and so and so forth right like a if it is low on petrol not only it flashes the flashes the message to the driver also at the same time it searches that the what is
• 09:30 - 10:00 the nearby petrol or gas station and who can do the ah things similarly if requires a ah something to be ah done in in the workshop and type of things so if you look at the basic iot ah architecture so what it requires on the things it is the objects or the needs a gateway right to connect to the rest of the world that is network or cloud and type
• 10:00 - 10:30 of things so a ah so it is a things gateway network and cloud right so whether it is a car or mobile device a smart watch or a temperature sensor or any type of things right which is which which can go through a gateway and connect it connect to the things so these gateway provides a connectivity with the ah rest of the thing rest of the internet right it can be cloud it can be other infrastructure and type of things
• 10:30 - 11:00 so so if you look at so the devices at the bottom end so there is a communication path either through nqtt or http some protocol aggregation and bus layer with esb and message broker so aggregation bus layer so there may be ah enterprise service bus and sort of things and message broker it goes to the event processing and analytics based on that ah whatever its sense is good for a event processing analytics and ah there are web portal dashboard api
• 11:00 - 11:30 management ah at the top of the layer right so these are ah different ah structures so these are device manager these are identity and access management at the across across the whole vertical so this is this is broadly the generic or basic iot architecture which more or less all devices follows right ah all all all devices confirm to ah that whichever
• 11:30 - 12:00 or rather that i should say all things quote unquote things confirm to so there are ah several aspects of iot systems one is scalability ah issue that ah scale for iot system implies that in terms of number of sensors and so and so forth if it is increasing then how to handle that is a big data issue that ah there are so many iot devices and many of them are ah having sensing or data acquisition type of things or event transmitting the data
• 12:00 - 12:30 that is a huge volume of data which needs to be processed and there is a big data analysis and processing issue and we find a role of cloud computing out her right so that ah not only in terms of the scaling in terms of iot frequently involve use of cloud computing platform ah of our potential of large amount of resources ah both in terms of storage data and also ability and flexibility to scaling operations so there is there is a need for
• 12:30 - 13:00 ah aspects of cloud type or cloud sort of ah mechanisms there are ah few more things many of the cases its a real time phenomena so the processing etcetera requires ah some sort of a real time ah intervenes so iot systems often function in real time data flows continually about events progress and there can be a need to
• 13:00 - 13:30 produce timely responses to the stream of the events so that data being collected being processed to be need to be actuated at the at a real time highly distributed as as as we look at that ah wholes whole lot of devices a variety of devices its can span over over a from a single room to buildings to even to a large ah much more larger geographical area like a compass or a city and type of things right
• 13:30 - 14:00 so it is a highly distributed and it ah and ah as it is distributed automatically heterogeneity come into ah play like there can can be different objects different type of devices and the type of data they transmit or consume ah or is ah they there can be a variety or ah heterogeneity on those type of things so iot systems are often build using very heterogeneous set of
• 14:00 - 14:30 ah different devices and type of things these applies to sensors to actuators but also applies to type of network involved in the variety of progress like some may using wifi some may ZigBee Bluetooth and type if things and and it a whole lot of ah interoperability issues need to be addressed out ah out there right so so that ah ah in order to address this sort of issue ah this iot gateways are required
• 14:30 - 15:00 so that it is addressed at a more localized fashion so whatever it communicates it communicates with the gateway which is more localized fashion right right say i say that there are several ah iot devices in this room and i have a gateway which take care of this devices so rest of the world or outside the room they are not bothered about this how the heterogeneity of the data formats they are processing ah ah mechanisms the the communication paradigm
• 15:00 - 15:30 which they do inside the things the gateway takes care and the gateway represents the ah the the or handles the interoperability or the heterogeneity issue of this iot devices on the other hand we have seen a lot of a cloud computing ah aspects so computing enables ah companies or enterprises applications which ah our system infrastructure independent to
• 15:30 - 16:00 be infrastructure free that is one aspects ah it offers pay as used and on demand services which is pretty amicable for this type of iot things clients can upload the data and application ah on cloud for storage and processing that is ah that is another these are the issues which are which provides and as we have seen already that there is a ah number of ah applications or number of ah features of cloud right like a mobile computing to aspects of security
• 16:00 - 16:30 to social networking and so on and so forth so cloud computing enables services to be used without any understanding of the infrastructure right ah so if it is a if it is the service provider takes a as type of things anything say at the saas level its dont bother about the what is the underlining infrastructure or the infrastructure or the platform and so and so forth works using economy of scale so it it its as a economy its ah its a ah
• 16:30 - 17:00 what we say it it it works with the ah using he economy of scales and its a it it ah it is extremely beneficial for several applications specially this sort of applications where these iot type things are there data and services are stored remotely but accessible from anywhere like as we are seeing that anywhere anything anybody type of things so this is again amicable
• 17:00 - 17:30 for ah this um iot ah operation or iot paradigm so why not then iot cloud right so that thats the things which naturally evolved it is not like that we ah some ah we are trying to put them together it is natural evolution to or merging of this two concept of the things so there is a wide adaptation and deployment of intern of thing infrastructure what we
• 17:30 - 18:00 see for various ah crucial application like logistics mass city smart city health care say even parking ah car parking and so forth so this led to high demand on data storage processing and management in the cloud based a data centers right so this iot devices individually handling will be difficult ah and even then you have to have something some infrastructure which can handle those things why not the cloud right cloud services are mature and provide excellent elastic computation and data management scalabilities
• 18:00 - 18:30 for iot that is um the it has the potential to give data management scalability in addition and as iot systems become complex cloud management techniques are increasingly employed to manage iot components right so iot ah systems systems not only the harder rise the systems in in the ah processing wise are becoming complex cloud services now act as a computational
• 18:30 - 19:00 data processing platform as well as management platform for iots right so the cloud platform can very well ah be a processing platform as well as data management platform for this type of iot systems may be in a localized manner may be more globalized manner or on a larger geographical spread ah or more complex type of cuss so what we see that integration between iot and cloud services allowed coordinating coordination among iot and cloud services in a seem less way the that is a cloud service can request
• 19:00 - 19:30 an iot service we include several iot elements to reduce amount of sensing data or the iot service can request cloud services to provision more resources etcetera so it is it is what we say ah sort of a quote unquote helping each other to ah to provide better services to enterprises to individuals and other type of ah or other type of services which uses
• 19:30 - 20:00 this iot ah services so if we look at ah try to look at the ah cloud components for iot so there are you can see there are ah several verticals one is the user layer where in a end user applications or iot users are there then we have a proximity network right which are which are more ah near to the ah these ah user layer there are
• 20:00 - 20:30 sense sensor actuators agent form a network connectivity user interface devices and so and so forth here we have this iot gateway which connects the this part with this public networks so the iot devices or applications which are which are connected by the proximity network which can be again ah having heterogeneous type of things different iot devices can do ah can connect to the things this iot gateway connects to the rest of the world so peer
• 20:30 - 21:00 cloud through a peer cloud to the other other type of things so what it goes as a application logic analytics agent device data store these iot gateway connect to this ah may be a dns system or a content delivery cdn ah firewall local load balancer and type of things so this in turn connects to this things which connects it
• 21:00 - 21:30 to the provider cloud or a ah csp cloud service provider which has all its cloud components right already we know that can be a device registry device management api management which are there in that iot cloud uh so application logic which ah which helps in doing analysis analytics where the analytics data repository ah cognitive ah um applications
• 21:30 - 22:00 or cognatic ah mechanisms actionable inside streaming computing all this analytics related things can be there right and ah these interns can connect to a ah enterprise network right so it has a user directory so on and so forth so if you see there are different layers so user layer proximity network through a gateway connected to the public network these connects to a provider cloud and if required it goes to a enterprise network for for accessing
• 22:00 - 22:30 ah other type of services right like i i say that that ah i have a ah car which which detects some ah anomaly it uses some gateway to connect to the cloud it with different type of ah not only from the or not only from different data from the cloud other environmental data these does some analytics then it may trigger to that particular car car manufacturer or ah car related service provider or workshop and goes to that enterprise and then gets
• 22:30 - 23:00 a feedback and so and so forth right so make some ah what we say corrective actions on the things like providing ah may be a um service vehicle or sending a lot to the driver and so and so forth so this can be ah there there can be this sort of aspects so there is icomot so one ah it is ah from particular one publications an iot cloud systems what
• 23:00 - 23:30 we see that different layers right at the top layer represent a typical iot application executed across iot and clouds right so it is it is the top layer which is a typical light weight analytics and control large scale data analytics so this is at the top layer the bottom layer oyi sorry middle layer represents the software layer as an iot system build on the top of various type of cloud services in the iot elements so this is the middle
• 23:30 - 24:00 layer where the sensors the gateways ah in on the iot client side there is load balancer event handler ah message oriented middle ware and there are other cloud related databases like no sql databases ah near real time a real time data processing at the bottom layer shows the different tools and services from ah icomot that particular ah frame work that can be used to monitor control configure the software layer so this
• 24:00 - 24:30 is more for deploy configure govern and control at different type of services so this is a typical ah one ah example of an ah iot clouds system or iot cloud framework so there are ah if we look at the infrastructure protocol and software platform for enabling an internet of ah thing cloud systems so infrastructure wise ah in iot industrial and common gateways
• 24:30 - 25:00 for example intel iot ah gateway may be thing and operating system containers such a dockers these are ah aspects in case of a cloud virtual machines and operating system containers so purpose is to enable ah virtual machines where software components will be executed right so connectivity protocol mqtt that is message q telemetry transport constant application was ah coap http different protocol which is there in the iot for connectivity protocol
• 25:00 - 25:30 in the case of cloud also we have mqtt amqp and http and so for the purpose is enable connectivity among iot elements between iot part and the cloud services so it ah this connectivity protocols allows that how to connectivity will be there there are platform softwares services which ah enable core platform services for iot and cloud task and we have ah different type of services they are light weight data services ah whereas there are
• 25:30 - 26:00 load balances such as ha proxy and so and so forth so that means for if we look at the different different ah types of infrastructure protocol and software platform which are ah which are there is a ah coupling between the this iot and the cloud to have to have a ah unified reason so there is a small example that developing
• 26:00 - 26:30 regular data clouds services in iot environment the so advancement cloud computing and iot have provided promising opportunity to resolve challenges caused by the increasing transportation issue so transportation worldwide is a major challenge ah that how to ah have safe driving with ah with proper traffic management and so and so forth ah so even a so a multi layered
• 26:30 - 27:00 regular cloud platform by using cloud computing and iot technology has been presented in this work to innovative vehicular cloud services like intelligent parking services and vehicular data mining cloud services for a vehicle warranty analysis etcetera are some of this motivating example so if you if we look at that ah one side this iot things are there it is if we it is architecture iot based vehicular data cloud so different sensor actuator gps devices smarts phone and other internet services and we have things
• 27:00 - 27:30 like street lights utilities smart metering road side infrastructure and so and so forth so these are different iot devices on the other hand we have this cloud like remote diagnosis traffic geographical information system sass paas iaas and other things so we have a middle layer like which allows this communication ah technology like satellite network if it is communicating wireless network like vehicular ad hock network three g four
• 27:30 - 28:00 ah services and internet so this is allowing this is enabling this merging of information between this iot devices and cloud for proper decision making or ah ah what we can say that meaning full decision making or some sort of a real time or near near near real time decision making so if we look at the ah services of iot ah
• 28:00 - 28:30 based vehiculars data cloud so there are network and ah data services as a network can data processing as a service so this is a new type of service ah like vehicle provides their networking and data processing capability to other vehicles through the cloud there can be storage as a service that is some vehicle may need specific application that require large amount of storage space or a fairly good amount of storage space which is not
• 28:30 - 29:00 there in the ah may be the obu or the onboard unit thus the vehicle have the ah unused storage space can share their storage like other vehicles platform as a service as a communicative ah as a community vehicular cloud offer a variety of cooperative information services such as traffic information hazard location warning lane change warning and so and so forth what we what we say in the vehicular ad hock network terms as a safety ah related ah services
• 29:00 - 29:30 so similarly another application is intelligent ah parking ah ah using iot cloud service here also we have several ah things ah like ah starting from ah driver management by vehicle belts ifds to vehicle to infrastructure infrastructure to infrastructure communication there is parking
• 29:30 - 30:00 management monitor checking reservation advertisement so there are application module functional module communication module and driver module so there are different type of ah modules which are there so a particular car can detect by sensor ah using it ah different time stamping that which lane or which lot there is a vacancy and type of things and ah before approach the pipe ah parking lot enabling ah these iot through gateway to the cloud can find
• 30:00 - 30:30 out that where where the vacancies are there right so this can be one ah one way of ah looking at that a a application which has a direct implication of our day to day life so to summarize iot is a dynamic and ah definitely exciting ah area iot systems are going to
• 30:30 - 31:00 be created more more more and more iot systems are going to come and ah both domestic commercial industrial health and different context and it is going to have a large amount of processing storage requirements and ah it faces thats thus it faces several challenges like scaling up or a speed of processing safety security privacy on the other hand cloud computing platforms offer potential to use large amount of resources both in terms of storage processing
• 31:00 - 31:30 and have a flexible scalable processing infrastructure so what we see these iot cloud platform is going to be a enabling technology for our or several futuristic ah applications it maybe ah personalized application to some commercial applications to industrial applications ah and several type of applications and processing need so that is that may be the ah next things
• 31:30 - 32:00 which is coming into the things where it encompasses ah the cloud iot sensors and different ah different aspects of or of ah devices or which can communicate and produce data and communicate to the ah internet so with these we will stop ah here today ah on this particular aspect of iot cloud thank you