"Centralized versus distributed server model comparison" Essays and Research Papers

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    A company cannot achieve efficiency and effectiveness using one single model. Based on the complexity‚ some functions need more delegation and some areas needs tight integration. Organizational structure significantly influences firm performance. I am working for a multi-nation company‚ involved in various global initiatives to reduce manufacturing cost by consolidating global demand‚ establishing global product sourcing and global IT systems. I have seen “Pressure for integration” from Top management

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    Client Server Model

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    Internet is based on a client-server model‚ where every day‚ millions and millions of computers are accessing thousands and thousands of servers. Many of the things we use our computers for today make use of this model‚ from web browsing to electronic mail. Over the years‚ competing models of networking emerged to compete with the client-server model. The peer-to-peer model has been a prominent competitor with vast differences. Mainframe architecture‚ from which the client-server evolved‚ still has a place

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    Client Server Model

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    Advantages of Client Server Networks over Peer to Peer Networks 1)  Centralization: Unlike P2P‚ where there is no central administration‚ here in this architecture there is a centralized control. Servers help in administering the whole set-up. Access rights and resource allocation is done by Servers. 2)  Proper Management : All the files are stored at the same place. In this way‚ management of files becomes easy. Also it becomes easier to find files.  3) Back-up and Recovery possible : As all

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    Client-Server Model

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    The client–server model is an approach to computer network programming developed at Xerox PARC during the 1970s. It is now prevalent in computer networks. Email‚ the World Wide Web‚ and network printing all apply the client–server model. The model assigns one of two roles to the computers in a network: Client or server. A server is a computer system that selectively shares its resources; a client is a computer or computer program that initiates contact with a server in order to make use of a resource

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    Distributed Systems

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    LESSON 1: DISTRIBUTED SYSTEMS CONTENTS 1.0 Aim and Objectives 1.1. Introduction 1.2. Organization 1.3. Goals and Advantages 1.4. Disadvantages 1.5. Architecture 1.6. Concurrency 1.7. Languages 1.8. Let us Sum UP 1.9. Lesson-End Activities 1.10. Points for Discussion 1.11. References 1.0. AIM AND OBJECTIVES At the end of this Lesson you will be able to    understand the concept of Distributed Computing‚ organization of Distributed Computing‚ advantages and limitations of Distributed Computing

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    Distributed Database

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    DISTRIBUTED DATABASE MANAGEMENT SYSTEM A distributed Database Management System (DDBMS) is a database in which storage devices are not all attached to a common processing unit such as the CPU. It may be stored in multiple computers‚ located in the same physical location; or may be dispersed over a network of interconnected computers. Unlike parallel systems‚ in which the processors are tightly coupled and constitute a single database system‚ a distributed database system consists of loosely coupled

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    distributed database

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    Principles of Distributed Database Systems M. Tamer Özsu • Patrick Valduriez Principles of Distributed Database Systems Third Edition M. Tamer Özsu David R. Cheriton School of Computer Science University of Waterloo Waterloo Ontario Canada N2L 3G1 Tamer.Ozsu@uwaterloo.ca Patrick Valduriez INRIA LIRMM 161 rue Ada 34392 Montpellier Cedex France Patrick.Valduriez@inria.fr This book was previously published by: Pearson Education‚ Inc. ISBN 978-1-4419-8833-1 e-ISBN

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    Distributed Systems

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    functions and takes up in the order of megabytes of code and data – and that it is undifferentiated Microkernel: The kernel provides only the most basic abstractions‚ principally address spaces‚ threads and local interprocess communication. Comparison: The chief advantages of a microkernel-based operating system are its:Extensibility and its ability to enforce modularity behind memory protection boundaries. In addition‚ a relatively small kernel is more likely to be free of bugs. | The relative

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    Distributed System

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    Distributed Systems 6. Name Services Werner Nutt 1 Naming Concepts Names = strings used to identify objects (files‚ computers‚ people‚ processes‚ objects) Textual names (human readable) – used to identify individual services‚ people • email address: Hans.Mair@inf.unibz.it • URL: www.google.com – or groups of people or objects • mailing lists: professors@unibz.it • mail domains (if there are several mail exchangers) 2 Naming Concepts (cntd) Numeric addresses (identify the location

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    Distributed Systems

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    Rouk April 15‚ 2013 Distributed Systems According to Andrew Tanenbaum “A distributed system is a collection of computers that appear to its users as a single coherent system.” (http://www.cs.helsinki.fi/u/alanko/hj/K06/kalvokopiot/ch1_p6.pdf) Almost every current company uses distributed systems connected to servers and even larger databases. Each of these companies connects their organization and its information through local area networks also connected through server farms managed by administrators

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