Client Server Paradigm
Objectives:
Taxonomy of distributed systems
service models point of view
Client-server architecture
Thin versus thick clients
Two and three tier architectures
Tradeoffs between these different
architectures
Software Architectures for Clients and
Servers
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Distributed Systems:
Service-models Taxonomy
Centralized model
Client-server model
Cluster-based model
Grid-based model
Peer-to-peer model
1-2
Distributed Systems:
Service-models Taxonomy
Centralized model
This the classic
mainframe time-sharing
system
The computer may
contain more than one
CPU
Terminals have serial
connections
Drawbacks
Single-point of failure
Not scalable
Resource contention
Are there any
advantages?
1-3
Distributed Systems:
Service-models Taxonomy
Client-server model
A networked model
consisting of three
components
• Server
• Client
• Service
The labels client and
server are within the
context of a particular
service
Advantages?
Disadvantages?
The labels client and
server are within the
context of a particular
service
1-4
Distributed Systems:
Service-models Taxonomy
Cluster-based model
Tightly-coupled
Closely linked via LAN networking
Grid-based model
Focuses on the ability to support computation across
administrative domains
Peer-to-peer model
Example: Gnutella, Kazaa
Peers are intermittently connected and change IP
addresses
1-5
Distributed Systems: comparison
paradigm
node
ownership
node
management
controlling
policies
discovery
mechanisms
peer-to-peer
computing
local
local
none
centralized
or
distributed
Cluster
computing
global (single
ownership)
global
global job
scheduling
Grid
computing
local
global
management
under local
policies
single
controlling
policy
centralized
or
distributed
Where does a client server computing fit?
1-6
Client Server Architecture
It is way of designing an application in which clients
contact well-known servers to access resources
What fraction of the task do clients process
before giving the work to the server?
Thin clients
• Clients are information appliances
• Servers are resource-rich
• Must have a resource-rich connectivity
Thick clients
• Clients perform the bulk of data processing operations
• Servers perform rudimentary tasks
Trade-offs between thin and thick clients?
1-7
Two-tier Client Server Architecture
Traditional client-server
architecture
A good solution for
small-scale group sizes
This architecture has
limitations
• Does not scale
• Restricts flexibility
– Moving or
repartitioning
program
functionalities
1-8
Multi-tier Client Server Architectures
Example: three-tier
architecture
The three-tier design
has many advantages
over traditional twotier
• Added modularity
• Function isolation
• Scalability
1-9
Client-server system architecture
vs.
Client-server distributed computing
In the client-server system architecture,
the terms clients and servers refer to
computers
In the client-server distributed computing
paradigm, the terms refer to processes
1-10
Client-server, an overloaded term
client hosts
service request
a client process
a server process
server host
Server host
a service
...
...
Client host
The Client-Server Paradigm, conceptual
Client-Server Computing Paradigm
Client-Server System Architecture
Client hosts make use of services
provided on a server host.
Client processes (objects) make use of a service
provided by a server process (object) running on
a server host.
1-11
Client-server system The interprocess
communications and event synchronization
Typically, the interaction of the client and server
processes follows a request-response pattern.
server
client
request1
response 1
request2
response 2
requestn
response n
1-12
Software Architectures for Clients and
Servers
The Software architecture of client-server application
consists of
Presentation layer
Application layer
Service layer
client-side software
presentation logic
application logic
service logic
server-side software
application logic
service logic
Any client-server software must have the
three-layer functionalities
Is this a good approach? Why?
1-13
Software Architectures for Clients and
Servers: Example
We will look at a Daytime client-server software
Daytime service [RFC867]:
Client: Hello, <client address> here.
May I have a timestamp please.
Server: Here it is: (time stamp
follows)
1-14
1-15
1-16
1-17
Software Architectures for Clients and
Servers: Separating the layers
Allows each module to be developed by
appropriate people
People have different skills
Allows modifications to be made in isolation
1-18
Client-Server Paradigm Issues
A service session
Same service might be requested by multiple
clients
Client sessions need to be kept separated and
isolated
The service protocol
How the service is to be located
The sequence of the IPC
Data syntax and semantics
IPC and event synchronization
1-19
Testing a Network Service
Since network software is notoriously difficult to
test
Use the three-layered software architecture and
modularize each layer on both the client and the server
Use an incremental or stepwise approach in developing
each module
Develop the client first
Test the client independent of the server
Test the client-server suite on one machine before
running the programs on separate machine
1-20
Client-Server Paradigm: Server Types
Connection-oriented server
Connectionless-oriented servers
Iterative servers
Concurrent servers
Stateful servers
Stateless serves
1-21
Client-Server Paradigm: Server Types
Connection-oriented server
Connectionless-oriented servers
Iterative servers
Concurrent servers
Stateful servers
Stateless serves
We will look at the tradeoffs of these different
server types
1-22
Connection-oriented communication
A separate connection is maintained for each
session
Once the connection is established, data can
be sent until the session is over
The connection needs to be explicitly torn
down
Imagine that we have n processes
What happens if a connection is established between
a sender and every other process?
What happens if all the n processes is a sender?
Connection-oriented servers rely on
connection-oriented communication
1-23
Connection-oriented: Daytime Server
Example
…
theServer = new ServerSocket(thePort);
p = new PrintWriter(System.out);
try {
p.println("Echo Server now in business on port "
+ thePort );
p.flush();
Connection acceptance
theConnection = theServer.accept();
// read a line from the client
theInputStream = new BufferedReader
(new InputStreamReader (theConnection.getInputStream()));
p = new PrintWriter(theConnection.getOutputStream());
while (!done){
theLine = theInputStream.readLine();
if (theLine == null) done = true;
Protocol processing
else{
p.println(theLine);
p.flush();
}
}
theConnection.close();
1-24
Connectionless-oriented communications
Involves no connection
Packets are explicitly addressed by the sender
The connection needs to be explicitly torn
down
Connectionless communications are simpler to
provide
Packets can be delivered out of order
Connectionless-oriented servers rely on
connectionless-oriented communication
1-25
Iterative Servers
An iterative server in unable to overlap client
sessions
Is a connection-oriented server an iterative
server? If yes, why?
Suppose that n clients have requested
connection at a given time, and each session is
expected to last t time units. What will happen
to request n+1?
What is the solution???
1-26
Concurrent Servers
A concurrent server in capable of conducting
multiple client sessions at once
A concurrent server can be provided by using
Threads or
Asynchronous IPC operations
1-27
Stateful servers
A stateful server maintain stateful information
on each active client
Stateful information can reduce the data
exchanged, and thereby the response time
FTP se rve r
FTP se rve r
FTP Clie nt
FTP Clie nt
file ID
file ID file position
file position
GET file name
file ID
send <file ID>, block 0
data from block 0 of file
send <file ID>, block 1
data from block 1 of file
...
GET file name
ready
send next block
data from block 0 of file
send next block
data from block 1 of file
...
1-28
Stateful vs. Stateless server
Stateless server is straightforward to code, but the
state information maintained by the server can reduce
the data exchanged
Are there any problems with stateful servers?
FTP se rve r
FTP Clie nt
file ID file position
GET file name
ready
send next block
data from block 0 of file
send next block
data from block 1 of file
...
data is lost due to network failure
client resubmits request
client receives data as block 0 of file;
the true block 0 is missed.
1-29
Stateful vs. stateless server
In actual implementation, a server may be
Stateless
Stateful
A hybrid, wherein the state data is distributed on both
the server-side and the client-side
Which type of server is chosen is a design issue
1-30
Global state information
Information maintained by a server for all the
clients throughout the lifetime of a service
The global state information needs to be
synchronized for mutual exclusion
1-31
Session state information
Information maintained specific to a client
session
Two schemes to maintain session information
Session information maintained by the client
• The server processes each request in the same manner
• The complexity of the server’s application logic is
reduced
• Such a server is called stateless
Session information maintained by the server
• Server keeps track of the session progress of the client
• Server is more complex to design and implement
• Failure provisions
1-32
Summary
You have been introduced to the client-server
paradigm in distributed computing. Topics covered
include
The difference between the client-server system
architecture and the client-server distributed computing
paradigm
Definition of the paradigm and why it is widely adopted in
network services and network applications
The issues of service sessions, protocols, service location,
interprocess communications, data representation, and
event synchronization in the context of the client-server
paradigm
1-33
Summary: Con.
The three-tier software architecture of network
applications: Presentation logic, application logic,
and service logic
Connectionless server versus connection-oriented
server
Iterative server versus concurrent server and the
effect on a client session
Stateful server versus stateless server
In the case of a stateful server: global state
information versus session state information
1-34
Summary: Con.
You are required to read the following:
The paper entitled “A taxonomy of distributed
computing”
Chapter 5 of the Distributed Computing book
Chapter 2 of the Distributed Computing book
1-35