Understanding-Modern-Distributed-Management-Systems-A-Comprehensive-Overview.pptx

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1. Understanding Modern Distributed Management Systems: A Comprehensive Overview Welcome to a deep dive into the realm of distributed management systems, exploring the architecture, functionality, and implications of various distributed computing technologies. by Kartik Maity

2. Introduction to Distributed Computing: Parallel Processing and Task Distribution Parallel Processing Distributing tasks across multiple processors to improve performance and speed. Task Distribution Breaking down large tasks into smaller units for efficient execution on separate machines.

3. Distributed Information Systems: Integrating Data Across Networks Data Sharing Facilitating information exchange among different applications and users across geographically dispersed locations. Data Consistency Maintaining data integrity and consistency across the distributed network, even with multiple updates.

4. File Systems in Distributed Environments: Storage and Access Centralized management of files across multiple servers, offering scalability and redundancy. Ensuring seamless access to files from any location within the network, with consistent data access. Enhancing data security and protection through distributed backups and access controls.

5. Distributed Databases: Managing Data Across Multiple Locations 1 Data Replication Duplicating data across multiple databases to increase availability and fault tolerance. 2 Data Partitioning Splitting large datasets into smaller portions, distributed across different database servers. 3 Data Consistency Maintaining data consistency across distributed databases despite concurrent updates and changes.

6. Peer-to-Peer Architecture: Decentralized Computing Models Decentralization Distributing control and responsibility across participating nodes, minimizing reliance on central servers. Direct Communication Peers communicate directly with each other, enabling resource sharing and collaboration. Scalability Highly scalable network, as new peers can easily join and contribute to the network.

7. Messaging Systems: Enabling Communication in Distributed Networks Asynchronous Communication Messages exchanged between components without immediate response, allowing for decoupled systems. 1 Message Queuing Messages stored and delivered asynchronously, ensuring reliable and efficient communication between distributed systems. 2 Scalability Scalable architecture for handling a high volume of messages in distributed networks. 3

8. IoT and the Future of Distributed Systems: Connected Devices and Data Exchange 10B Connected Devices Billions of interconnected devices generating and exchanging data. 10^18 Data Exchange Massive data exchange between devices, enabling real-time analysis and decision-making.