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Introduction to Distributed Systems
Slides for CSCI 3171 Lectures E. W. Grundke
2
References
A. Tanenbaum and M. van Steen (TvS)Distributed Systems: Principles and ParadigmsPrentice-Hall 2002
G. Coulouris, J. Dollimore and T. Kindberg (CDK)Distributed System: Concepts and DesignAddison-Wesley 2001
Acknowledgment: Some slides from TvS:
http://www.prenhall.com/divisions/esm/app/author_tanenbaum/custom/dist_sys_1e/
CDK: http://www.cdk3.net/ig/beida/index.html
3
What is a Distributed System?
A collection of independent computers that appears to its users as a single coherent system.
Examples: Distributed object-based systems (CORBA, DCOM)Distributed file systems (NFS)etc.
TvS 1.2
4
Heterogeneity
Applies to all of the following:– networks
• Internet protocols mask the differences between networks– computer hardware
• e.g. data types such as integers can be represented differently
– operating systems• e.g. the API to IP differs from one OS to another
– programming languages• data structures (arrays, records) can be represented
differently– implementations by different developers
• they need agreed standards so as to be able to interwork
CDK Ch. 1.4
5
Transparency in a Distributed System
Different forms of transparency in a distributed system.
Transparency Description
AccessHide differences in data representation and how a resource is accessed
Location Hide where a resource is located
Migration Hide that a resource may move to another location
RelocationHide that a resource may be moved to another location while in use
ReplicationHide that a resource may be shared by several competitive users
ConcurrencyHide that a resource may be shared by several competitive users
Failure Hide the failure and recovery of a resource
PersistenceHide whether a (software) resource is in memory or on disk
TvS 1.4
6
Layered Protocols: IPLayers, interfaces, and protocols in the OSI model.
7
Layered Protocols: OSILayers, interfaces, and protocols in the OSI model.
2-1
TvS 2.2
8
Middleware Protocols
An adapted reference model for networked communication.
2-5
TvS 2.6
9
Middleware
A software layer that – masks the heterogeneity of systems– provides a convenient programming abstraction– provides protocols for providing general-purpose services
to more specific applications, eg.• authentication protocols• authorization protocols• distributed commit protocols• distributed locking protocols• high-level communication protocols
– remote procedure calls (RPC)– remote method invocation (RMI)
10
MiddlewareGeneral structure of a distributed system as middleware.
1-22
TvS 1.24
11
Middleware and Openness
In an open middleware-based distributed system, the protocols used by each middleware layer should be the same, as well as the interfaces they offer to applications.
1.23
TvS 1.25
12
Middleware programming models
Remote Calls– remote Procedure Calls (RPC) – distributed objects and Remote Method
Invocation (RMI)• eg. Java RMI
Common Object Request Broker Architecture (CORBA) – cross-language RMI
Other programming models– remote event notification– remote SQL access– distributed transaction processing
CDK Ch 1
External Data Representation
See Coulouris, Dollimore and Kindberg (CDK), Sec. 4.3
14
Motivation
Data in running programs:Not just primitives, but
arrays, pointers, lists, trees, etc.In general:
complex graphs of interconnected structures or objects
Data being transmitted:Sequential! Pointers make no sense. Structures must be flattened.
All the heterogeneities must be masked! (endian, binary formats, etc.)
CDK 4.3
15
Motivation
Data in running programs:Not just primitives, but
arrays, pointers, lists, trees, etc.In general:
complex graphs of interconnected structures or objects
Data being transmitted:Sequential! Pointers make no sense. Structures must be flattened.
All the heterogeneities must be masked! (endian, binary formats, etc.)
CDK 4.3
16
What is an External Data Representation?
“An agreed standard for the representation of data structures and primitive values.”
Internal to external: “marshalling”External to internal: “unmarshalling”
Examples:CORBA’s Common Data Representation (CDR)Java Object SerializationSun XDR (RFC 1832)
17
CORBA CDR
Defined in CORBA 2.0 in 1998Primitive types:
Standard data types, both big/little endian, conversion by the receiver.
Constructed types:sequence, string, array, struct, enumerated, union (not objects)
Data types are not specified in the external format: receiver is assumed to have access to the definition (via IDL).(unlike Java Object Serialization!)
CDK 4.3
18
CORBA CDR– only defined in CORBA 2.0 in 1998, before that, each
implementation of CORBA had an external data representation, but they could not generally work with one another. That is:• the heterogeneity of hardware was masked• but not the heterogeneity due to different
programmers (until CORBA 2)– CORBA CDR represents simple and constructed data
types (sequence, string, array, struct, enum and union)• note that it does not deal with objects
– it requires an IDL specification of data to be serialised
CDK 4.3
19
CORBA CDR Example
The flattened form represents a Person struct with value:{”Smith”, ”London”, 1934}
CDK 4.3
0-3 5 Length of string
4-7 ”Smit” “Smith”
8-11 ”h____”
12-15 6 Length of string
16-19 ”Lond” “London”
20-23 ”on__”
24-27 1934 Unsigned long
Index in sequence 4 bytes wide Notesof bytes
Remote Procedure Calls (RPC)
21
What is RPC?
Call a procedure (function, subroutine, method, …) in a program running on a remote machine,
while hiding communication details from the programmer.
Note: Think C, not java! We deal with objects later!
22
Conventional Procedure Call
a) Parameter passing in a local procedure call: the stack before the call to readb) The stack while the called procedure is active
TvS 2.7
23
Parameter Passing Techniques
Call-by-value
Call-by-reference
Call-by-copy/restore
24
Client and Server StubsPrinciple of RPC between a client and server program.
TvS 2.8
25
Steps of a Remote Procedure Call
1. Client procedure calls client stub in normal way2. Client stub builds message, calls local OS3. Client's OS sends message to remote OS4. Remote OS gives message to server stub5. Server stub unpacks parameters, calls server6. Server does work, returns result to the stub7. Server stub packs it in message, calls local OS8. Server's OS sends message to client's OS9. Client's OS gives message to client stub10. Stub unpacks result, returns to client
TvS 2.9
26
Passing Value ParametersSteps involved in doing remote computation through RPC
2-8
TvS 2.10
27
Passing Value Parameters:Data Representation Issues
a) Original message on the Pentiumb) The message after receipt on the SPARCc) The message after being inverted. The little numbers in boxes
indicate the address of each byte
BUT: This is not usually a problem with strings! (E.W.G.)TvS 2.11
28
Parameter Specification and Stub Generation
a) A procedureb) The corresponding message.
TvS 2.12
29
Passing Reference Parameters
Reference variables (pointers):pointers to arrayspointers to structures (objects without methods)
What if the structure contains other pointers?The server may need a whole “graph” of structures!
“Parameter marshalling”
Interface Definition Language (IDL):Specifies types, constants, procedures and
parameter data types,compiled into client and server stubs.
30
Asynchronous RPC
a) The interconnection between client and server in a traditional RPCb) The interaction using asynchronous RPC
2-12
TvS 2.14
31
Asynchronous RPC:Deferred Synchronous RPC
A client and server interacting through two asynchronous RPCs
TvS 2.15
32
Distributed Computing Environment (DCE)
A middleware systemDeveloped by The Open Group (previously OSF)Includes
distributed file servicedirectory servicesecurity servicedistributed time service
Adopted by Microsoft for distributed computing
33
DCE: Binding a Client to a Server
2-15
TvS 2.17
Remote Method Invocation (RMI)
35
What is RMI?
RPC to a method in an object on another machine.
Note: Now think Java!
36
Object Orientation:Remote Method Invocation (RMI)
An object encapsulatesState (fields or instance variables)Methods (often described by an interface)
Distributed object:An interface known locally may describe an object on another machine.
37
Distributed Objects
Common organization of a remote object with client-side proxy.2-16
TvS 2.18
38
Binding a Client to an Object
a) An example with implicit binding using only global references
b) An example with explicit binding using global and local references
Distr_object* obj_ref; //Declare a systemwide object referenceobj_ref = …; // Initialize the reference to a distributed objectobj_ref-> do_something(); // Implicitly bind and invoke a method
(a)
Distr_object objPref; //Declare a systemwide object referenceLocal_object* obj_ptr; //Declare a pointer to local objectsobj_ref = …; //Initialize the reference to a distributed objectobj_ptr = bind(obj_ref); //Explicitly bind and obtain a pointer to the local proxyobj_ptr -> do_something(); //Invoke a method on the local proxy
(b)
TvS 2.19
39
Parameter PassingThe situation when passing an object by reference or by value.
2-18
TvS 2.20
40
The DCE Distributed-Object Modela) Distributed dynamic objects in DCE.b) Distributed named objects
TvS 2.21