The document provides an introduction to distributed systems, defining them as a collection of independent computers that communicate over a network to act as a single coherent system. It discusses the motivation for and characteristics of distributed systems, including concurrency, lack of a global clock, and independence of failures. Architectural categories of distributed systems include tightly coupled and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.

1. INTRODUCTION TO DISTRIBUTED
SYSTEMS
BY:
Sunita Sahu
Assistant Professor,
VESIT,Mumbai

2. INTRODUCTION TO DISTRIBUTED
SYSTEMS
`
 Definition
 Motivation for Distributed system
 Architectural Categories
 Characteristics, Issues, Goals,
 Advantages
 Disadvantages

3. DEFINITION
 A distributed system is a collection of independent
computers, interconnected via a network, capable of
collaborating on a task.
 A distributed system can be characterized as collection of
multiple autonomous computers that communicate over a
communication network and having following features:
 No common Physical clock
 Enhanced Reliability
 Increased performance/cost ratio
 Access to geographically remote data and resources
 Scalability
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4. DEFINITION CNTD…
 Distributed system is a collection of independent
entities that cooperate to solve a problem that cannot
be solved individually.
 So, basically it is nothing but a collection of computers.
 DCS do not share a common memory or do not have a
common physical clock, and the only way they can
communicate is through the message passing and for
that they require a communication network

5. Definition of a Distributed System
A distributed system is (Tannenbaum):
A collection of independent computers that
appears to its users as a single coherent
system.
A distributed system is (Lamport):
One in which the failure of a computer you
didn't even know existed can render your
own computer unusable

6. Overview…
 Distributed system connects autonomous processors by
communication network.
 The software component that run on each of the
computers use the local operating system and network
protocol stack.
 The distributed software is termed as middleware.
 The distributed execution is the execution of the
processes across the distributed system to collectively
achieve a common goal.

7. Motivation for Distributed system
 Inherently distributed computation that is many
applications such as money transfer in the banking, or
reaching a consensus among the parties that are
geographically distant, the computation is inherently
distributed.
 Resource sharing the sharing of the resources such as
peripherals, and a complete data set and so on and so forth.
 Access the geographically remote data and resources, such
as bank database, supercomputer and so on.
 Reliability enhanced reliability possibility of replicating the
resources and execution to enhance the reliability.

9. Architectural Categories
Computer architectures consisting of
interconnected, multiple processors are basically
of two types:
1). Tightly coupled system
2). Loosely coupled system

10. TIGHTLY COUPLED SYSTEMS
In these systems, there is a single system wide
primary memory (address space) that is shared
by all the processors . Usually tightly coupled
systems are referred to as parallel processing
systems.
CPU CPU
System-
Wide
Shared
memory CPU
Interconnection hardware
CPU

11. LOOSELY COUPLED SYSTEMS
 In these systems, the processors do not share
memory, and each processor has its own local
memory .Loosely coupled systems are referred
to as distributed computing systems, or simply
distributed systems
Local memory
CPU
Local memory
CPU
Local memory
CPU
Local memory
CPU
Communication network

12. CHARACTERISTICS OF DISTRIBUTED
SYSTEM
Concurrency
No global clock
Independent failures
More reliable
Fault tolerant
Scalable

13. EXAMPLES OF DISTRIBUTED SYSTEMS
 Database Management System
 Automatic Teller Machine Network
 Internet/World-Wide Web
 Mobile and Ubiquitous Computing
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14. DATABASE MANAGEMENT SYSTEM
14

15. AUTOMATIC TELLER MACHINE
NETWORK
15

16. INTERNET
16
intranet
ISP
desktop computer:
backbone
satellite link
server:

network link:




17. WORLD-WIDE-WEB
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18. WEB SERVERS AND WEB BROWSERS
18
Internet
Browsers
Web servers
www.google.com
www.uu.se
www.w3c.org
Protocols
Activity.html
http://www.w3c.org/Protocols/Activity.html
http://www.google.comlsearch?q=lyu
http://www.uu.se/
File system of
www.w3c.org

19. MOBILE AND UBIQUITOUS COMPUTING
19
Laptop
Mobile
Printer
Camera
Internet
Host intranet Home intranet
GSM/GPRS
Wireless LAN
phone
gateway
Host site

20. Distributed System
A distributed system organized as middleware. The
middleware layer extends over multiple machines,
and offers each application the same interface.

21. GOALS:COMMON HARACTERISTICS
 Making resources accessible
 Openness
 Transparency
 Security
 Scalability
 Failure Handling
 Concurrency
 Heterogeneity

22. Making resources accessible
• The main goal of a distributed system is to make it
easy for the users (and applications) to access
remote resources, and to share them in a controlled
and efficient way.
• Resources can be just about anything, but typical
examples include things like printers, computers,
storage facilities, data, files, Web pages, and
networks,
Reasons to share resources.
• Economics.

23. OPENNESS
 An open distributed system is a system that offers
services according to standard rules that describe
the syntax and semantics of those services.
 Detailed interfaces of components need to be
published.
 New components have to be integrated with
existing components. An open distributed system
should also be extensible.
 Differences in data representation of interface types
on different processors (of different vendors) have
to be resolved.
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24. TRANSPARENCY
 Distributed systems should be perceived by users
and application programmers as a whole rather
than as a collection of cooperating components.
 Ability to hide the fact that process and resources
are distributed .
 Transparency has different aspects.
 These represent various properties that distributed
systems should have.
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25. Transparency in a Distributed
System

26. ACCESS TRANSPARENCY
 Enables local and remote information objects to be
accessed using identical operations.
 Example: File system operations in NFS.
 Example: Navigation in the Web.
 Example: SQL Queries
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27. LOCATION TRANSPARENCY
 Enables information objects to be accessed
without knowledge of their location.
 Example: File system operations in NFS
 Example: Pages in the Web
 Example: Tables in distributed databases
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28. CONCURRENCY TRANSPARENCY
 Enables several processes to operate
concurrently using shared information objects
without interference between them.
 Example: NFS
 Example: Automatic teller machine network
 Example: Database management system
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29. REPLICATION TRANSPARENCY
 Enables multiple instances of information
objects to be used to increase reliability and
performance without knowledge of the replicas
by users or application programs
 Example: Distributed DBMS
 Example: Mirroring Web Pages.
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30. FAILURE TRANSPARENCY
 Enables the concealment of faults
 Allows users and applications to complete their
tasks despite the failure of other components.
 Partial failure transparency is achievable but
complete failure transparency is not possible
 Example: Database Management System
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31. MIGRATION TRANSPARENCY
 Allows the movement of information objects
within a system without affecting the operations
of users or application programs
 Relocation Transparency:
 Situation in which resources can be relocated
while they are being accessed without the user
or application noticing anything. In such cases,
the system is said to support relocation
transparency.
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32. PERFORMANCE TRANSPARENCY
 Allows the system to be reconfigured to
improve performance as loads vary.
 Load should be evenly distributed among all the
machines.
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33. SCALING TRANSPARENCY
 Allows the system and applications to expand
in scale without change to the system structure
or the application algorithms.
 Example: World-Wide-Web
 Example: Distributed Database
33

34. HETEROGENEITY
 Variety and differences in
 Networks
 Computer hardware
 Operating systems
 Programming languages
 Implementations by different developers
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35. SECURITY
 In a distributed system, clients send requests to
access data managed by servers, resources in
the networks:
 Doctors requesting records from hospitals
 Users purchase products through electronic commerce
 Security is required for:
 Concealing the contents of messages: security and privacy
 Identifying a remote user or other agent correctly
(authentication)
 New challenges:
 Denial of service attack
 Security of mobile code
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36. FAILURE HANDLING (FAULT
TOLERANCE)
 Hardware, software and networks fail!
 Distributed systems must maintain availability
even at low levels of hardware/software/network
reliability.
 Fault tolerance is achieved by
 recovery
 redundancy
36

37. CONCURRENCY
 Components in distributed systems are
executed in concurrent processes.
 Components access and update shared
resources (e.g. variables, databases, device
drivers).
 Integrity of the system may be violated if
concurrent updates are not coordinated.
37

38. SCALABILITY
 Scalability of a system can be measured along at
least three different dimensions
 scalability with respect to size: meaning that we can
easily add more users and resources to the system.
 geographically scalable :system is one in which the
users and resources may lie far apart.
 Administratively scalable: meaning that it can still be
easy to manage even if it spans many independent
administrative organizations.

39. SCALING TECHNIQUES
 Hiding communication latencies
 Asynchronous communication
 Allocate more job to client machine
 Distribution
 Distribution involves taking a component, splitting it into
smaller parts, and subsequently spreading those parts
across the system. An excellent example of distribution
is the Internet Domain Name System (DNS)
 Replicate

40. 4. BASIC DESIGN ISSUES
 Specific issues for distributed systems:
 Naming
 Communication
 Software structure
 System architecture
 Workload allocation
 Consistency maintenance
40

41. NAMING
 A name is resolved when translated into an
interpretable form for resource/object reference.
 Communication identifier (IP address + port number)
 Name resolution involves several translation steps
 Design considerations
 Choice of name space for each resource type
 Name service to resolve resource names to comm. id.
 Name services include naming context resolution,
hierarchical structure, resource protection
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42. COMMUNICATION
 Separated components communicate with sending
processes and receiving processes for data transfer
and synchronization.
 Message passing: send and receive primitives
 synchronous or blocking
 asynchronous or non-blocking
 Abstractions defined: channels, sockets, ports.
 Communication patterns: client-server
communication (e.g., RPC, function shipping) and
group multicast
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43. SOFTWARE STRUCTURE
 Layers in centralized computer systems:
43
Applications
Middleware
Operating system
Computer and Network Hardware

44. SOFTWARE STRUCTURE
 Layers and dependencies in distributed systems:
44
Applications
Distributed programming
support
Open
services
Open system kernel services
Computer and network hardware

45. Challenges
• Performance
• Concurrency
• Failures
• Scalability
• System updates/growth
• Heterogeneity
• Openness
• Multiplicity of ownership, authority
• Security
• Quality of service/user experience
• Transparency
• Debugging

46. ADVANTAGES OF DISTRIBUTED SYSTEM
 Information Sharing among Distributed Users
 Resource Sharing
 Extensibility and Incremental growth
 Shorter Response Time and Higher Output
 Higher Reliability
 Better Flexibility’s in meeting User’s needs
 Better price/performance ratio
 Scalability
 Transparency
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47. DISADVANTAGES OF DISTRIBUTED
SYSTEM
 Difficulties of developing distributed
software
 Networking Problem
 Security Problems
 Performance
 Openness
 Reliability and Fault Tolerance
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48. REFERENCES:
 Tanenbaum, Andrew S., and Maarten Van
Steen. Distributed systems: principles and
paradigms. Prentice-Hall, 2007.
 Sinha, Pradeep K. Distributed operating systems:
concepts and design. PHI Learning Pvt. Ltd., 1998.
 NOC:Distributed Systems,NPTEL