2.1_connecting_the_dots_interoperability_in_todays_connected_world.pdf

2.1 Connecting the Dots: Interoperability in today's connected world IPT2 - IM - Lesson 2.1 - Software-to-Software Communication.pdf Software-to-software communication exchange of data or commands between different...

2.1 Connecting the Dots: Interoperability in today's connected world IPT2 - IM - Lesson 2.1 - Software-to-Software Communication.pdf Software-to-software communication exchange of data or commands between different software applications often over a network or a single system enables separate systems to work together and share information Purpose: 1. collaboration 2. make ease of work 3. save cost and development time Types of Software-to-software Communication 1. Synchronous 2. Asynchronous 1. Synchronous Communication Real-time data is exchange a system sends a request and waits for a response example: HTTP Requests - used in web development. Send a request 2.1 Connecting the Dots: Interoperability in today's connected world 1  Remote Procedure Calls - Allows a program to cause a procedure to execute in another address space 2. Asynchronous Communication system communicates by sending messages that are processed independently Message Queues - Systems send messages to a queue where another system can process them at its own pace Event-Driven Architectures - Systems emit events that other systems can subscribe to and react to asynchronously. Real-World Examples of Software Communication Web Applications Interaction between front-end web pages and back-end servers often through RESTful APIs Microservices Architectures multiple independent services to form a larger cohesive application IOT Devices IoT devices communicating with cloud platforms for data processing and control often using protocols like MQTT or CoAP Challenges of SOS Communication 1. Interoperability ensuring data software systems developed in different programming languages/frameworks can communicate effectively 2. Security protecting data during transmission (especially over public networks) uses encryption and secure protocols 3. Latency 2.1 Connecting the Dots: Interoperability in today's connected world 2  Minimizing the time it takes for data to be transmitted Future Trends in Software Communication Edge Computing moving processing closer to the data source to reduce latency and improve communication efficiency 5g Networks Providing faster more reliable communication between devices particular in IoT and mobile applications AI and Machine Learning Integration Enabling smarter more adaptive communication protocols systems that can optimize their interactions based on context 2.1 Connecting the Dots: Interoperability in today's connected world 3