Knowledge of IoT
- 2. The Evolution of Digital Transformation Tell the truth …. how many of you could actually make it through a day without your smartphone? In our world today, there are more smart devices than there are people. A growing number of people are connected to the Internet.
- 4. The Impact of Digital Transformation
- 5. How is it possible for so many devices to be connected?
- 6. “Network”
- 7. Networking is the Foundation Networks form the foundation of the digitized world. Networks come in all sizes. They can range from simple networks consisting of two computers to networks connecting millions of devices.
- 8. Can Smart Device Think ? All digital Devices work based on computer programs and supplied data. Artificial Intelligence implies that these devices are able to think on their own . If Programmed appropriately , smart devices are able to evaluate data that are provide to them and modify processes or settings . If they are provide with sufficient
- 9. Network Types Personal Area Network (PAN) Personal area networks are small networks where connected wireless devices are within personal reach Local Area Network (LAN) LANs are typically networks in a small or local geographic area, such as a home, small business or department within a large corporation Wide Area Networks (WANs) The term WAN typically refers to a collection of LANs that provides inter-LAN and Internet connectivity for businesses and governments.
- 11. Internet (network of network) The Internet is a multi-layer global network system that connects hundreds of millions of computers. It allows for the exchange of data between more than a hundred Internet-linked countries worldwide. Wireless Networks Wireless networks are those computer networks that use electromagnetic waves instead of wires
- 12. The Cloud It is a collection of data centers or groups of connected servers that are used to store and analyze data, provide access to on- line applications, and provide backup services for personal and corporate use.
- 13. Fog Computing The fog is located at the edge of a business or corporate network. Servers and computer programs allow the data to be pre-processed for immediate use. Then the pre- processed data can be sent to the cloud for more in-depth computing if required. Fog Computing The fog is located at the edge of a business or corporate network. Servers and computer programs allow the data to be pre- processed for immediate use. Then the pre-processed data can be sent to the cloud for more in-depth computing if required. Fog Computin g
- 16. What is the IoT? The Internet of Things (IoT) is the connection of millions of smart devices and sensors to the Internet, with the ability to collect and exchange data from users or environment with no human intervention. These connected devices and sensors collect and share data for use and evaluation by many organizations. These
- 17. Why IOT ? We want to Automate everything. We want to control everything remotely. We want to see data in real-time. Dynamic control of industry and daily life. Improve the resource utilization ratio. Integrating human society and physical system. Flexible configuration.
- 24. Fog Computing The fog is located at the edge of a business or corporate network. Servers and computer programs allow the data to be pre-processed for immediate use. Then the pre- processed data can be sent to the cloud for more in-depth computing if required. Researchers estimate That over 3 million new devices are connected to the Internet each month. And also estimate that in the next four years, there are going to be over 30 billion connected devices worldwide.
- 25. What is Big Data? Data is information that comes from a variety of sources, such as people, pictures, text, sensors, and web sites. Most recently, there has been a spike in the volume of data generated by sensors. Sensors are now installed in an ever growing number of locations and objects.
- 26. “Big Data“ is a lot of data, but what is a lot? The data collect from devices is quite large and complex that becomes difficult to analyse them, we called it “Big data”. Here are three characteristics that indicate an organization may be dealing with Big Data: A large amount of data that requires more storage space (Volume). An amount of data that is growing exponentially fast (Velocity). Different Types of data (Variety).
- 27. How much data do sensors collect? Here are some estimated examples: •Sensors in one autonomous car can generate 4,000 gigabits (Gb) of data per day. •An Airbus A380 Engine generates 1 petabyte (PB) of data on a flight from London to Singapore. •Sensors in one smart connected home can produce as much as 1 gigabyte (GB) of information a week.
- 28. What Are the Challenges of Big Data? IBM’s Big Data estimates conclude that “each day we create 2.5 quintillion bytes of data”. To put this into context, every minute of every day: •We upload over 300 hours of YouTube video. •We send over 3.5 million text messages. •We stream over 86 thousand hours of Netflix video. •We like over 4 million Facebook posts. •We request over 14 million forecasts from The Weather Channel.
- 29. The security of stored data becomes a big problem. Big Data solutions must be secure ,and to ensure data does not get lost. Big Data storage is not only about storing data, it is also about managing and securing it. Challenges of Big Data?
- 31. There are five major data storage problems with Big Data as represented in the figure Management Security Redundancy Access Analytics
- 32. Where Can We Store Big Data? Big data is typically stored on multiple servers, usually housed within data centers. For security, accessibility, and redundancy, the data is usually distributed on many different servers in many different data centers. The cloud storage facilities that are available from companies like Amazon, Google, Microsoft, and many others.
- 33. Fog Computing Fog computing is an architecture that utilizes end-user clients or “edge” devices to do a substantial amount of the pre-processing and storage required by an organization. Fog computing was designed to keep the data closer to the source for pre-processing.
- 34. Application of IOT Smart Home Automation Smart Building
- 35. Industrial IOT and Smart Factories Smart Car Technology
- 36. Medical Diagnosis and Surgery Aircraft Auto-Pilot
- 37. Smart City
- 38. Example
- 41. Every Things Needs to be Secure Data generated by computers and digital devices is still groups of 1s and 0s. That has not changed. What has changed is the quantity, volume, variety of the generated data. Because we are gathering and storing exponential quantities of data, it has increased the need for extra security to protect this information from natural disasters, hackers, and misuse.
- 42. The Good Guys The Bad Guys
- 43. Challenges of Securing IoT devices Sensing a complex environment – Innovative ways to sense and deliver information from physical world to the cloud. Connectivity - Variety of wired and wireless standards are required to enabled different application needs. Power – Many IoT application needs to run for years over battery and reduce the overall energy consumption.
- 44. Security – Protection user’s privacy, manufacturer’s IP & Blocking malicious activity. Complexity – IoT application development needs to be easy for all developers not just to expert. Cloud – IoT application require end to end solution including cloud services
- 45. Protecting Devices The Good Guys Update Your Operating System & Browser Keep The Firewall On Prevent Unauthorized access Use Antivirus & Antispyware
- 46. Since the IoT is a transformational technology, we are now faced with an ever expanding collection of new technology that we must master. The IoT is changing every aspect of our lives. IoT can help innovate new process and initiatives that could transform business lives and the world. Conclusion
- 49. The Evolving Job Market The IoT is changing the job market. Traditional jobs are being replaced with jobs that are designed to embrace this new world and all it offers In IT areas, •Artificial Intelligence •Application Development •IoT Program Developer •IoT Security Specialist •Collaboration •Enterprise Networks •Data Center and Virtualization