The document provides an introduction to distributed systems, including defining their key characteristics and challenges. It discusses how distributed systems allow independent computers to coordinate activities and share resources over a network. Examples of distributed systems include the internet, intranets, cloud computing systems, and wireless networks. The main goals of distributed systems are transparency, openness, and scalability, while the key challenges are heterogeneity, distribution transparency, fault tolerance, and security.
Distributed computing involves a collection of independent computers that appear as a single coherent system to users. It allows for pooling of resources and increased reliability through replication. Key aspects of distributed systems include hiding the distribution from users, providing a consistent interface, scalability, and fault tolerance. Common examples are web search, online games, and financial trading systems. Distributed computing is used for tasks like high-performance computing through cluster and grid computing.
The document discusses the history and goals of distributed systems. It begins by describing how computers evolved from large centralized mainframes in the 1940s-1980s, to networked systems in the mid-1980s enabled by microprocessors and computer networks. The key goals of distributed systems are to make resources accessible across a network, hide the distributed nature of resources to provide transparency, remain open to new services, and scale effectively with increased users and resources. Examples of distributed systems include the internet, intranets, and worldwide web.
A distributed system is a collection of independent computers that appears to users as a single coherent system. Key properties of distributed systems include transparency, where differences between computers are hidden from users, coherency in providing consistent interaction regardless of location or time, and scalability to expand the system size and resources. Distributed systems aim to be reliable, remaining continuously available despite potential failures of individual components.
The document provides an introduction to distributed systems, including definitions, goals, types, and challenges. It defines a distributed system as a collection of independent computers that appear as a single system to users. Distributed systems aim to share resources and data across multiple computers for availability, reliability, scalability, and performance. There are three main types: distributed computing systems, distributed information systems, and distributed pervasive systems. Developing distributed systems faces challenges around concurrency, security, partial failures, and heterogeneity.
This document provides an introduction and definition of distributed systems. It discusses that a distributed system consists of multiple autonomous computers that appear as a single system to users. It describes characteristics like transparency, openness, and scalability. Hardware concepts like shared memory multiprocessors and message passing multicomputers are covered. Software concepts like distributed operating systems and network operating systems are introduced. Transparency, organization, goals and examples of distributed systems are summarized.
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 independent failures. Architectural categories of distributed systems include tightly and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.
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.
The document provides an introduction to distributed systems, including definitions, goals, and characteristics. It discusses key problems in distributed systems like concurrency, security, and partial failures. Some techniques for achieving scalability are also covered, such as hiding communication latencies, offloading work to clients, distributing data and computations, and replicating/caching data across multiple machines. The overall goals of distributed systems are to share resources, provide distribution transparency, support openness, and achieve scalability.
distributed system chapter one introduction to distribued system.pdflematadese670
油
distributed system chapter one introduction to distribued system
Your score increases as you pick a category, fill out a long description and add more tags distributed system chapter one introduction to distribued system distributed system chapter one introduction to distribued system distributed system chapter one introduction to distribued system
The document introduces distributed systems, defining them as collections of independent computers that appear as a single system to users, discusses the goals of transparency, openness, and scalability in distributed systems, and describes three main types - distributed computing systems for tasks like clustering and grids, distributed information systems for integrating applications, and distributed pervasive systems for mobile and embedded devices.
chapter 1- introduction to distributed system.pptAschalewAyele2
油
This document provides an introduction to distributed systems. It defines a distributed system as a collection of independent computers that appears as a single coherent system to users. The goals of distributed systems are discussed, including resource accessibility, distribution transparency, openness, and scalability. Various types of distributed systems are also outlined, such as distributed computing systems like clusters, grids and clouds, distributed information systems like transaction processing and enterprise application integration, and distributed embedded systems like home, healthcare and sensor networks. Key techniques for improving scalability like hiding communication delays, distribution, and replication are also summarized.
Chap 01 lecture 1distributed computer lectureMuhammad Arslan
油
This document provides an introduction to distributed systems, including definitions, goals, challenges, and examples. It defines a distributed system as a collection of independent computers that appear as a single system to users. The main goals are resource sharing, transparency, openness, and scalability. Some challenges include unreliable networks and false assumptions about network properties. Examples discussed include cluster computing, grid computing, transaction processing systems, sensor networks, and electronic health care systems.
The document defines a distributed system and provides examples. It outlines the challenges in designing distributed systems, including heterogeneity, openness, security, scalability, failure handling, concurrency, and transparency. Distributed systems divide tasks across networked computers and aim to appear as a single computer to users.
This document provides an introduction to distributed systems. It begins by defining a distributed system as a collection of independent computers that appear as a single coherent system to users. It then discusses the history of distributed systems and provides examples like the web, mobile networks, and banking systems. Finally, it covers key characteristics of distributed systems such as transparency, openness, and scalability.
This document provides an overview of distributed computing. It discusses the history and introduction of distributed computing. It describes the working of distributed systems and common types like grid computing, cluster computing and cloud computing. It covers the motivations, goals, characteristics, architectures, security challenges and examples of distributed computing. Advantages include improved performance and fault tolerance, while disadvantages are security issues and lost messages.
CSI-503 - 11.Distributed Operating Systemghayour abbas
油
A distributed operating system connects multiple computers via a single communication channel. It allows for the distribution of computing resources and I/O files across several central processors to serve multiple users and real-time applications simultaneously. Distributed operating systems come in various types, including client-server systems, peer-to-peer systems, middleware, three-tier, and n-tier architectures. Their key features are openness, scalability, resource sharing, flexibility, transparency, and heterogeneity. Examples include Solaris, OSF/1, Micros, and DYNIX. Distributed operating systems find applications in network applications, telecommunication networks, parallel computation, and real-time process control.
The document discusses the history and concepts of distributed systems. It defines a distributed system as a collection of independent computers that appears as a single system to users. Distributed systems provide benefits like resource sharing, availability, scalability, and performance. However, they also introduce challenges around concurrency, security, partial failures, and heterogeneity. The document outlines common goals for distributed systems like transparency, openness, and scalability. It describes different approaches to scaling distributed systems through techniques like hiding latencies, distribution, and replication. Finally, it discusses key hardware concepts like multiprocessors and multicomputers as well as software approaches like distributed operating systems, network operating systems, and middleware.
This document summarizes distributed computing. It discusses the history and origins of distributed computing in the 1960s with concurrent processes communicating through message passing. It describes how distributed computing works by splitting a program into parts that run simultaneously on multiple networked computers. Examples of distributed systems include telecommunication networks, network applications, real-time process control systems, and parallel scientific computing. The advantages of distributed computing include economics, speed, reliability, and scalability while the disadvantages include complexity and network problems.
This document provides an overview of distributed systems, including definitions, important aspects, examples, characteristics, goals, architectures, and techniques for scaling distributed systems. A distributed system is defined as a collection of independent computers that appears as a single coherent system to users. Key goals of distributed systems are making resources accessible, hiding the distribution of resources from users, being open through standard interfaces, and being scalable to additional users and resources.
This document provides an introduction and definition of distributed systems. It discusses that a distributed system consists of multiple autonomous computers that appear as a single system to users. It describes characteristics like transparency, openness, and scalability. Hardware concepts like shared memory multiprocessors and message passing multicomputers are covered. Software concepts like distributed operating systems and network operating systems are introduced. Transparency, organization, goals and examples of distributed systems are summarized.
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 independent failures. Architectural categories of distributed systems include tightly and loosely coupled, with examples given of different types of distributed systems such as database management systems, ATM networks, and the internet.
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.
The document provides an introduction to distributed systems, including definitions, goals, and characteristics. It discusses key problems in distributed systems like concurrency, security, and partial failures. Some techniques for achieving scalability are also covered, such as hiding communication latencies, offloading work to clients, distributing data and computations, and replicating/caching data across multiple machines. The overall goals of distributed systems are to share resources, provide distribution transparency, support openness, and achieve scalability.
distributed system chapter one introduction to distribued system.pdflematadese670
油
distributed system chapter one introduction to distribued system
Your score increases as you pick a category, fill out a long description and add more tags distributed system chapter one introduction to distribued system distributed system chapter one introduction to distribued system distributed system chapter one introduction to distribued system
The document introduces distributed systems, defining them as collections of independent computers that appear as a single system to users, discusses the goals of transparency, openness, and scalability in distributed systems, and describes three main types - distributed computing systems for tasks like clustering and grids, distributed information systems for integrating applications, and distributed pervasive systems for mobile and embedded devices.
chapter 1- introduction to distributed system.pptAschalewAyele2
油
This document provides an introduction to distributed systems. It defines a distributed system as a collection of independent computers that appears as a single coherent system to users. The goals of distributed systems are discussed, including resource accessibility, distribution transparency, openness, and scalability. Various types of distributed systems are also outlined, such as distributed computing systems like clusters, grids and clouds, distributed information systems like transaction processing and enterprise application integration, and distributed embedded systems like home, healthcare and sensor networks. Key techniques for improving scalability like hiding communication delays, distribution, and replication are also summarized.
Chap 01 lecture 1distributed computer lectureMuhammad Arslan
油
This document provides an introduction to distributed systems, including definitions, goals, challenges, and examples. It defines a distributed system as a collection of independent computers that appear as a single system to users. The main goals are resource sharing, transparency, openness, and scalability. Some challenges include unreliable networks and false assumptions about network properties. Examples discussed include cluster computing, grid computing, transaction processing systems, sensor networks, and electronic health care systems.
The document defines a distributed system and provides examples. It outlines the challenges in designing distributed systems, including heterogeneity, openness, security, scalability, failure handling, concurrency, and transparency. Distributed systems divide tasks across networked computers and aim to appear as a single computer to users.
This document provides an introduction to distributed systems. It begins by defining a distributed system as a collection of independent computers that appear as a single coherent system to users. It then discusses the history of distributed systems and provides examples like the web, mobile networks, and banking systems. Finally, it covers key characteristics of distributed systems such as transparency, openness, and scalability.
This document provides an overview of distributed computing. It discusses the history and introduction of distributed computing. It describes the working of distributed systems and common types like grid computing, cluster computing and cloud computing. It covers the motivations, goals, characteristics, architectures, security challenges and examples of distributed computing. Advantages include improved performance and fault tolerance, while disadvantages are security issues and lost messages.
CSI-503 - 11.Distributed Operating Systemghayour abbas
油
A distributed operating system connects multiple computers via a single communication channel. It allows for the distribution of computing resources and I/O files across several central processors to serve multiple users and real-time applications simultaneously. Distributed operating systems come in various types, including client-server systems, peer-to-peer systems, middleware, three-tier, and n-tier architectures. Their key features are openness, scalability, resource sharing, flexibility, transparency, and heterogeneity. Examples include Solaris, OSF/1, Micros, and DYNIX. Distributed operating systems find applications in network applications, telecommunication networks, parallel computation, and real-time process control.
The document discusses the history and concepts of distributed systems. It defines a distributed system as a collection of independent computers that appears as a single system to users. Distributed systems provide benefits like resource sharing, availability, scalability, and performance. However, they also introduce challenges around concurrency, security, partial failures, and heterogeneity. The document outlines common goals for distributed systems like transparency, openness, and scalability. It describes different approaches to scaling distributed systems through techniques like hiding latencies, distribution, and replication. Finally, it discusses key hardware concepts like multiprocessors and multicomputers as well as software approaches like distributed operating systems, network operating systems, and middleware.
This document summarizes distributed computing. It discusses the history and origins of distributed computing in the 1960s with concurrent processes communicating through message passing. It describes how distributed computing works by splitting a program into parts that run simultaneously on multiple networked computers. Examples of distributed systems include telecommunication networks, network applications, real-time process control systems, and parallel scientific computing. The advantages of distributed computing include economics, speed, reliability, and scalability while the disadvantages include complexity and network problems.
This document provides an overview of distributed systems, including definitions, important aspects, examples, characteristics, goals, architectures, and techniques for scaling distributed systems. A distributed system is defined as a collection of independent computers that appears as a single coherent system to users. Key goals of distributed systems are making resources accessible, hiding the distribution of resources from users, being open through standard interfaces, and being scalable to additional users and resources.
FinanceGPT Labs Whitepaper - Risks of Large Quantitative Models in Financial ...FinanceGPT Labs
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Large Quantitative Models (LQMs) are a class of generative AI models designed for quantitative analysis in finance. This whitepaper explores the unique risks LQMs pose to financial markets, focusing on vulnerabilities to data poisoning attacks. These attacks can manipulate model outputs, leading to flawed economic forecasts and market instability. The whitepaper also addresses systemic risks like herding behavior and the potential for cascading failures due to the interconnectedness of financial institutions. Effective mitigation strategies, including robust data validation, adversarial training, real-time monitoring, and secure model development lifecycles, are discussed. The analysis emphasizes the need for proactive cybersecurity measures and regulatory frameworks to ensure the responsible and secure deployment of LQMs, maintaining the stability and integrity of financial markets.
Selzy: Simplifying Email Marketing for Maximum GrowthSelzy
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This presentation is about Selzy, an easy-to-use and affordable email marketing tool that helps businesses create and launch effective email campaigns with minimal effort. It highlights the challenges of traditional email marketing, showcases Selzys AI-powered email builder, fast setup, and 24/7 support, and demonstrates the tools impact through user growth and market potential. With a strong ROI and a rapidly expanding customer base, Selzy positions itself as a powerful yet simple solution for businesses looking to boost engagement and sales through email marketing.
High-Paying Data Analytics Opportunities in Jaipur and Boost Your Career.pdfvinay salarite
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Jaipur offers high-paying data analytics opportunities with a booming tech industry and a growing need for skilled professionals. With competitive salaries and career growth potential, the city is ideal for aspiring data analysts. Platforms like Salarite make it easy to discover and apply for these lucrative roles, helping you boost your career.
Agile Infinity: When the Customer Is an Abstract ConceptLoic Merckel
油
巨介 巨 腫咋介 介稲腫咋介 瑞稲 腫諮稲介署: 駒瑞駒稲 腫腫 基駒告 咋署告介咋介諮駒腫諮
In some SAFe and Scrum setups, the user is so astronomically far removed, they become a myth.
The product? Unclear.
The focus? Process.
Working software? Closing Jira tickets.
Customer feedback? A demo to a proxy of a proxy.
Customer value? A velocity chart.
Agility becomes a prescribed ritual.
Agile becomes a performance, not a mindset.
Welcome to the Agile business:
鏝 where certifications are dispensed like snacks from vending machines behind a 7/11 in a back alley of Kiyamachi,
鏝 where framework templates are sold like magic potions,
鏝 where Waterfall masquerades in Scrum clothing,
鏝 where Prime One-Day delivery out-of-the-box rigid processes are deployed in the name of adaptability.
And yet...
鏝 Some do scale value.
鏝 Some focus on real outcomes.
鏝 Some remember the customer is not a persona in a deck; but someone who actually uses the product and relies on it to succeed.
鏝 Some do involve the customer along the way.
And this is the very first principle of the Agile Manifesto.
Not your typical SAFe deck.
鏝 Viewer discretion advised: this deck may challenge conventional thinking.
Only the jester can speak truth to power.
2. 2
Content
Introduction
Defining Distributed Systems
Characteristics of Distributed Systems
Example Distributed Systems
Challenges of Distributed Systems
Summary
3. 3
objective
to cover characteristics of networked/distributed computing
systems and applications
to present the main concepts and techniques that have been
developed to help in the tasks of designing and implementing
systems and applications that are based on networks.
4. 4
Introduction
The results of computer systems and network systems technologies are not only
possible but easy, to put together a computing system composed of many
networked computers, be they large or small. These computers are generally
geographically dispersed, for which reason they are usually said to form a
distributed system. Distributed systems have changed the face of the world.
Once your web browser connects to a web server somewhere else on the world,
it is participating in what seems to be a simple form of a client/server distributed
system. When contact a modern web service such as Google or Facebook, you
are not just interacting with a single machine, however; behind the scenes, these
complex services are built from thousands of machines, each of which
cooperates to provide the particular service of the site.
5. 5
Introduction
Network
A computer network consists of two or more computers or other
intelligent devices linked by communication media (e.g., cable
or wireless media) to achieve successful communication.
7. 7
Introduction
Definitions
A Distributed System is a collection of independent computers linked by
computer N/W and equipped with distributed system S/W. S/W enable
computers to coordinate their activities to share resources of hardware,
software and data.
A Distributed System is one in which components located at networked
computers communicate and coordinate their actions only by passing
messages". [Coulouris, 2005]
A Distributed System is a collection of independent computers that appears
to its users as a single coherent system".[Tanenbaum, 2002]
8. 8
Introduction
Networks vs. Distributed Systems
o Networks: A media for interconnecting local and wide area computers and
exchange messages based on protocols. Network entities are visible and they
are explicitly addressed (IP address).
o Distributed System: existence of multiple autonomous computers is
transparent
o Networks focuses on packets, routing, etc., whereas distributed systems
focus on applications.
o Every distributed system relies on services provided by a computer network.
9. 9
Introduction
Reasons for Distributed Systems
Functional Separation:
o Existence of computers with different capabilities and purposes:
Clients and Servers
Data collection and data processing
Inherent distribution:
o Information: Different information is created and maintained by different
people (e.g., Web pages)
o People
Computer -supported collaborative work (virtual teams, engineering,
virtual surgery)
o Retail store and inventory systems for supermarket chains (e.g., Coles,
Woolworths)
10. 10
Introduction
Reasons for Distributed Systems
Power imbalance and load variation:
Distribute computational load among different computers.
Reliability:
Long term preservation and data backup (replication) at different
locations.
Economies:
Sharing a printer by many users and reduce the cost of ownership.
Building a supercomputer out of a network of computers.
11. 11
Introduction
Distributed System Architecture
Distributed systems are built up on top of existing networking and operating
systems software.
A distributed system comprises a collection of independent computers,
linked through a computer network and distribution middleware as shown in
the below figure.
The middleware enables computers to coordinate their activities and to share
the resources of the system so that users perceive the system as a single,
integrated computing facility.
middleware is the bridge that connects distributed applications across
dissimilar physical locations, with dissimilar hardware platforms, network
technologies, operating systems, and programming languages
13. 13
Introduction
Examples of Distributed Systems
They (DS) are based on familiar and widely used computer
networks:
Internet
Intranets, and
Wireless networks
14. 14
Introduction
Examples of Distributed Systems
Example DS and its Applications:
Web (and many of its applications like Online bookshop)
Data Centers and Clouds
Wide area storage systems
Banking Systems
User-level communication (Facebook, Zoom)
15. 15
Introduction
Examples of Distributed Systems
Network of workstations
Personal workstations + processors not assigned to specific users.
Single file system, with all files accessible from all machines in the
same way and using the same path name.
For a certain command the system can look for the best place
(workstation) to execute it.
15
16. 16
Examples of Distributed Systems
The Internet is a vast collection of computer networks of many
different types and hosts various types of services.
Intranet
desktop computer:
backbone
satellite link
server:
%
network link:
%
%
% ISP
17. 17
17
the rest of
email server
Web server
Desktop
computers
File server
router/firew all
print and other servers
other servers
print
Local area
netw ork
email server
the Internet
Examples of Distributed Systems (contd)
Intranet is a separately administered DS, that has a boundary between
intra and internet. Intranet can be one small LAN or many interconnected
private sites.
18. 18
18
Examples of Distributed Systems (contd)
Portable and handheld devices
Supports continued access to Home intranet resources via wireless and
provision to utilise resources (e.g., printers) that are conveniently located
(location-aware computing).
19. 19
Examples of Distributed Systems (contd)
Internet
Browsers
Web servers
www.google.com
www.cdk5.net
www.w3c.org
Protocols
Activity.html
http://www.w3c.org/Protocols/Activity.html
http://www.google.com/search?q=Buyya
http://www.cdk5.net/
File system of
www.w3c.org
Internet
Resource sharing and the Web: open protocols, scalable servers, and pluggable
browsers
20. 20
Introduction
Requirements of Distributed Systems
Consistency of replicate data: The benefits of data replication are useful only
if there's a consistent copy of the data across all systems. Following a
process for replication helps ensure consistency. Identify the data source and
destination.
Concurrent Transaction Processing: Several applications or users often need
to share the same data source. This sharing can lead to problems if they try
to access a record concurrently, that is, if they try to process the same data
source record at the same time.
21. 21
Introduction
Requirements of Distributed Systems
Fault tolerance: Failure of a component (partial failure) should not result in
failure of the whole system
Security and reliability :Security, which ensures the system is doing the
required job, goes hand in hand with reliability, which ensures the system is
doing its job correctly. Although they come from different ways of looking
at the same problem, they are both dependent on each other.
22. 22
Introduction
Goals of Distributed Systems
2. Transparency:
It is important for a distributed system to hide the location of its process
and resource. A distributed system that can portray itself as a single
system is said to be transparent.
The various transparencies need to be considered are access, location,
migration, relocation, replication, concurrency, failure and persistence.
Aiming for distributed transparency should be considered along with
performance issues.
23. 23
Introduction
Goals of Distributed Systems
2. Transparency:
It is important for a distributed system to hide the location of its process
and resource. A distributed system that can portray itself as a single
system is said to be transparent.
The various transparencies need to be considered are access, location,
migration, relocation, replication, concurrency, failure and persistence.
Aiming for distributed transparency should be considered along with
performance issues.
24. 24
Introduction
Goals of Distributed Systems
3. Openness:
Openness is an important goal of distributed system in which it offers
services according to standard rules that describe the syntax and semantics
of those services.
Open distributed system must be flexible making it easy to configure and
add new components without affecting existing components.
An open distributed system must also be extensible.
25. 25
Introduction
Goals of Distributed Systems
4. Scalable:
Scalability is one of the most important goals which are measured along three
different dimensions.
First, a system can be scalable with respect to its size which can add more
user and resources to a system.
Second, users and resources can be geographically apart.
Third, it is possible to manage even if many administrative organizations
are spanned.
26. 26
Introduction
Challenges of Distributed system
Heterogeneity
Heterogeneous components must be able to interoperate
Distribution transparency
Distribution should be hidden from the user as much as possible
Fault tolerance
Failure of a component (partial failure) should not result in failure of
the whole system
Scalability
System should work efficiently with an increasing number of users
System performance should increase with inclusion of additional
resources
27. 27
Introduction
Challenges of Distributed system
Concurrency
Shared access to resources must be possible
Openness
Interfaces should be publicly available to ease inclusion of new
components
Security
The system should only be used in the way intended
28. 28
Introduction
Advantages of Distributed system
Reliability, high fault tolerance: A system crash on one server does not affect other
servers.
Scalability: In distributed computing systems you can add more machines as needed.
Flexibility: It makes it easy to install, implement and debug new services.
Fast calculation speed: A distributed computer system can have the computing power
of multiple computers, making it faster than other systems.
Openness: Since it is an open system, it can be accessed both locally and remotely.
High performance: Compared to centralized computer network clusters, it can
provide higher performance and better cost performance
29. 29
Introduction
Disadvantages of Distributed System.
Difficult troubleshooting: Troubleshooting and diagnostics are more difficult due to
distribution across multiple servers.
Less software support: Less software support is a major drawback of distributed
computer systems.
High network infrastructure costs: Network basic setup issues, including
transmission, high load, and loss of information.
Security issues: The characteristics of open systems make data security and
sharing risks in distributed computer systems.
30. 30
Assignment 1
Use the World Wide Web as an example to illustrate the concept of resource sharing,
client and server. What are the advantages and disadvantages of HTML, URLs and
HTTP as core technologies for information browsing?
31. 31
Text book
George Coulouris, Jean Dollimore, Tim Kindberg,
Gordon Blair: "Distributed Systems - Concepts and
Design", Addison Wesley Publ. Comp., 5th edition,
31