Cisco Virtualized Packet Core (VPC) may be a technology providing all core services for 4G, 3G, 2G, WiFi, and little cell networks. It delivers networking functionality as virtualized services to permit greater scalability and faster deployment of latest services at a reduced cost. It distributes and manages packet core functions across all resources, whether virtual or physical. Its key features include packet core service consolidation, dynamic scaling, and system agility.

Its technology supports IoT by offering network function virtualization, SDN (software-defined networking), and rapid networked system deployment. This proves critical because its virtualization and SDN support low-power, high flow networking, and therefore the simple deployment of a good sort of small devices. It eliminates many of the finer details of IoT systems, and conflicts, through consolidating into one system and single technology for connecting and integrating all elements.

Use Case: Smart Transportation

Rail transportation provides a viable example of the facility of VPC. the issues VPC solves relate to safety, mobility, efficiency, and repair improvement −
• Rail applications use their own purpose-built networks, and suffer from interoperability issues; for instance , trackside personnel cannot always communicate with local police thanks to different technologies.
• Determining if passengers need overtime to board remains a mostly manual task.
• Data updates, like schedules, remain manual.
• Each piece of kit , e.g., a surveillance camera, requires its own network and power source.

A smart MRT check in ny
VPC improves service by introducing direct communication over a typical network, more and automatic monitoring, automatic data updates through smart signs, and native IP networks for all devices alongside PoE (Power over Ethernet) technology. This leads to passengers who feel safer, and luxuriate in a far better quality service.

Internet of Things – Salesforce

The Salesforce IoT Cloud may be a platform for storing and processing IoT data. It uses the Thunder engine for scalable, real-time event processing. Its collection of application development components, referred to as Lightning, powers its applications. It gathers data from devices, websites, applications, customers, and partners to trigger actions for real-time responses.

Salesforce, a CRM leader, decided to enter this space thanks to the necessity to stay competitive within the coming era. The IoT cloud adds to Salesforce by expanding its reach, and therefore the depth of its analytics.
Salesforce combined with IoT delivers dramatically improved customer service with tighter integration and responses to real-time events; for instance , adjustments in wind turbines could trigger automatic rebooking of delayed/cancelled connecting flights before airline passengers land.
Electric Imp
The Electric Imp platform is Salesforce’s recommended method for quickly connecting devices to the cloud. You develop applications through the Squirrel language; a high level, OO, lightweight scripting language. Applications contains two modules: the device module, which runs on the device; and therefore the agent module, which runs within the Electric Imp cloud. The platform ensures secure communication between the modules, and you send devices messages with an easy call −
agent.send(“nameOfmessage”, data);
Listen for messages on the agent with the subsequent code −
device.on(“nameOfmessage”, function(data) {

//Data operations

});
Beyond these basic tasks, coding for device interaction, monitoring, and response resembles standard web application development, and uses an easy, easy-to-learn syntax.
So, this brings us to the end of blog. This Tecklearn ‘CISCO Virtualized Packet Zone and Salesforce in IoT’ blog helps you with commonly asked questions if you are looking out for a job in Internet of Things (IoT). If you wish to learn IoT and build a career in Internet of Things (IoT) domain, then check out our interactive, Internet of Things (IoT) Training, that comes with 24*7 support to guide you throughout your learning period. Please find the link for course details:

IoT (Internet of Things) Training

Internet of Things (IoT) Training

About the Course

Internet of Things or IoT, as it is widely known, simply put, is a network of devices which can communicate with each other with regards to sending, receiving and analyzing data. Tecklearn’s IoT Training as an online training platform delivers you the best in the industry IoT knowledge by certified and experienced trainers to master IoT. Interactive sessions include two real-time projects to provide in-depth understanding of advanced IoT concepts that covers IoT methods and technologies, application deployment, network and communication protocols and integrations, security measures and real-time data management on the internet. You will learn IoT introduction, significance, building your own IoT devices, sensors, IoT communication and security. This training will help you be a part of the IoT revolution underway around the globe.

Why Should you take IoT (Internet of Things) Training?

• The average salary for an IoT Engineer is $163,514 per year in the United States. (Indeed.com)
• Many industries such as Eddie Stobart Transport and Logistics Company, the Amazon, Dell, Aviva, German Auto Manufacturer Daimler, the John Deere Company and Walt Disney Land are all utilizing the Internet of Things technology to monitor various activities and advance their existing systems.
• Gartner Says 5.8 Billion Enterprise and Automotive IoT Endpoints Will Be in Use in 2020

What you will Learn in this Course?

Introduction to Internet of Things
• What is IoT, how does it work
• IoT vs IIoT
• Business Cases of IIoT
• Industry 4.0
• Properties of IoT device
• IoT Ecosystem
• IoT Decision Framework
• IoT Solution Architecture Models
• How IoT is Transforming Businesses
• Major IoT Boards in Market
IoT Communication Protocols
• Types of wireless communication
• Major wireless Short-range communication devices and properties
• Comparison of these devices (Bluetooth, WIFI, ZigBee, 6LoWPAN)
• Major wireless Long-range communication devices and properties, Comparison of these devices (Cellular IoT, LPWAN)
IoT Architecture
• The IoT Stack Architecture and the various components and layers
• The app, the data processing and platform
• IoT OS like Contiki, FreeRTOS and mbe
• The edge and the connected thing or device
IoT Sensors and Device Platforms
• Introduction to IoT Sensors and the role they play in getting the IoT systems work efficiently
• Micro-electromechanical systems revolutionizing IoT sensors
• Use Case of Water Quality Monitoring
• Use Case: Sericulture
• Difference between microcontroller and microprocessor
• IoT Device Platforms – Arduino, Raspberry Pi etc
• Smartphone Centric Architecture
• IoT Application Layer protocols
• Hands On
Arduino Platform and Arduino Interfacing
• Arduino physical board, libraries and the Integrated Development Environment
• Arduino Shields various operations such as heat and light sensing, GPS, UI display
• Programming Arduino using C language
• Controlling external devices using pins on the Arduino board
• The Arduino Interface
• Reading inputs from various sources and providing an output
• Working with sensors for sensing and controlling the physical world
• Deploying various types of sensors and connecting it to the Arduino
• Constant conversion between analog and digital signals for information exchange between the physical and digital domains
• Hands On
Raspberry Pi Platform and Raspberry Pi Interfacing
• Introduction to Raspberry Pi
• Set up of Raspberry Pi environment
• Coding for the Raspberry Pi using Python
• Deploying Python-based Integrated Development Environment
• Interfacing the Raspberry Pi with the physical world
• Introducing the various input and output devices
• Raspberry Pi expansion boards for building complex hardware setup
• Real-time demo of Raspberry Pi interfacing
• Hands On
Arduino Uno Wifi and IoTivity
• Iotivity
• Iotivity Architecture
• Hands On
Netduino Platform and Netduino Interfacing
• Introduction to Netduino Platform
• Setting up the Netduino environment
• Coding for the Netduino
• Interfacing the Netduino with the physical world
• Introducing the various input and output devices
• Real-time demo of Netduino interfacing
• Hands On
IoT for Arduino, NodeMCU and Netduino
• Control LED light using Netduino board
• NodeMCU
• Blynk
Project: Building WSN with MQTT, Raspberry Pi & Arduino
Got a question for us? Please mention it in the comments section and we will get back to you.

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