Unit_6_Distributed_Systems_PVM_Jini_SOA.pptx

Distributed Computing: Document classification,Frameworks –
Kuberbets, GPU Applications,Parallel Computing for AI/ ML.
Parallel Virtual Machine (PVM), Jini, Service Oriented Architecture,
The Future of Recent Trends.
Tools for Distributed System Monitoring: Prometheus, Zabbix,
Nagios. Case Studies: Mach, Chorus.

1. Title Slide Distributed Systems: PVM, Jini, and SOA

2. Overview of Distributed Systems Definition, Characteristics, and Importance

3. Benefits and Challenges Benefits: - Resource Sharing - Scalability - Reliability Challenges: - Synchronization - Fault Tolerance - Security

4. Introduction to PVM Parallel Virtual Machine (PVM) is a software tool for parallel networking of computers.

5. PVM Architecture Master-Slave structure, daemon processes, and message passing.

6. Components of PVM 1. PVM Daemon 2. Tasks 3. Message Passing Interface

7. PVM Process Management Process creation, task scheduling, and termination.

8. Communication in PVM Point-to-point, multicast communication, and message buffering.

9. Advantages of PVM - Portability - Heterogeneous system support - Scalability

10. Limitations of PVM - Manual management - Overhead for small tasks - Limited fault tolerance

11. PVM Applications Scientific computing, simulations, and distributed AI tasks.

12. Case Study: PVM Usage Example: Parallel matrix multiplication using PVM.

13. Introduction to Jini Jini is a Java-based network architecture for distributed services.

14. Jini Architecture Overview Service providers, clients, and lookup services.

15. Lookup Services in Jini Dynamic service discovery using lookup services.

16. Discovery and Join Protocols Protocols to find and register services automatically.

17. Leasing Mechanism in Jini Time-based resource allocation and renewal.

18. Event and Notification in Jini Event-driven architecture for service notifications.

19. Advantages of Jini - Dynamic discovery - Easy integration - Robust service management

20. Limitations of Jini - Java-only - Network dependency - Security concerns

21. Use Cases and Example Applications Printer sharing, file storage, and distributed computing.

22. Introduction to SOA Service-Oriented Architecture (SOA) is a design approach for distributed systems.

23. Key Concepts of SOA Loose coupling, reusability, interoperability.

24. SOA Components Services, service consumers, service registry, and service contracts.

25. SOA Communication Protocols SOAP, REST, and messaging protocols.

26. Advantages of SOA - Reusability - Scalability - Platform independence

27. Challenges in SOA Implementation - Complexity - Governance - Security

28. Case Study: SOA Example: E-commerce platform using microservices (SOA).

29. SOA in Modern Distributed Systems Integration with cloud computing and APIs.

30. Summary & Conclusion PVM, Jini, and SOA provide frameworks for distributed computing solutions.