Module 1 - Distributed System Architectures & Models

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1 Module 1 - Distributed System Architectures & Models

2 Architecture Distributed systems tend to be very complex. It is critical to properly organize these systems to manage the complexity. The organization of a distributed system is primarily about defining the software components that constitute the system. A component is a modular unit with well-defined required and provided interfaces. 1-2

3 Architecture (2) Software Architecture: Tells us how software components should be organized and how they should interact. System Architecture: Instantiation of a software architecture on real machines. Functions of each component are defined Interrelationships and interactions between components are defined 1-3

4 1-4

5 1-5

6 System Architectures Centralized architectures Client-server Multiple-client/single-server Multiple-client/multiple-servers Multitier systems Decentralized architectures 1-10

7 1-11

8 Client-Server Communication Client Request (invocation) Result Server Request (invocation) Client Result Process Computer 1-13

9 Advantages of Client/Server Computing More efficient division of labor Horizontal and vertical scaling of resources Better price/performance on client machines Ability to use familiar tools on client machines Client access to remote data (via standards) Full DBMS functionality provided to client workstations Overall better system price/performance 1-15

10 An Example Client and Server (1) The header.h file used by the client and server. From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

11 An Example Client and Server (2) A sample server. From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

12 An Example Client and Server (3) A client using the server to copy a file b From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

13 Problems With Multiple- Client/Single Server Server forms bottleneck Server forms single point of failure System scaling difficult 1-19

14 Service Across Multiple Servers Service Client Server Server Client Server From Coulouris, Dollimore and Kindberg, Distributed Systems: Concepts and Design, 3rd ed. Addison-Wesley Publishers

15 Multiple-Client/Multiple-Server Communication Client invocation invocation Server result Server result Client From Coulouris, Dollimore and Kindberg, Distributed Systems: Concepts and Design, 3rd ed. Addison-Wesley Publishers

16 1-27

17 Multitier Systems Example: Internet Search Engines From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

18 Multitier System Alternatives From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

19 Communication in Multitier Systems From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

20 Peer-to-Peer Systems Application Coordination code Application Coordination code Application Coordination code From Coulouris, Dollimore and Kindberg, Distributed Systems: Concepts and Design, 3rd ed. Addison-Wesley Publishers

21 1-32

22 1-33

23 1-34

24 1-35

25 1-36

26 Software Layers Platform From Tanenbaum and van Steen, Distributed Systems: Principles and Paradigms Prentice-Hall, Inc

27 Layers Platform Fundamental communication and resource management services We won t be worried about these Middleware Provides a service layer that hides the details and heterogeneity of the underlying platform Provides an easier API for the applications and services RPC, RMI, CORBA, etc. Applications Distributed applications, services Examples: , ftp, etc 1-38

28 Example Client/Server Middleware Remote Procedure Call (RPC) Uses the well-known procedure call semantics. The caller makes a procedure call and then waits. If it is a local procedure call, then it is handled normally; if it is a remote procedure, then it is handled as a remote procedure call. Caller semantics is blocked send; callee semantics is blocked receive to get the parameters and a nonblocked send at the end to transmit results. Caller procedure Caller Caller stub Comm. Comm. Callee Callee stub Callee procedure Call( ). Marshall params Unmarshall results Transmit Receive Call packet(s) Result packet(s) Receive Transmit Unmarshall arguments Marshall results Call Return 1-39

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