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Although a database system provides a high-level view of data, ultimately data have to be stored as bits on one or more storage devices A vast majority of databases today store data on magnetic disk and fetch data into main space memory for processing, or copy data onto tapes and other backup devices for archival storage The physical characteristics of storage devices play a major role in the way data are stored, in particular because access to a random piece of data on disk is much slower than memory access: Disk access takes tens of milliseconds, whereas memory access takes a tenth of a microsecond 11 begins with an overview of physical storage media, including mechanisms to minimize the chance of data loss due to failures The chapter then describes how records are mapped to les, which in turn are mapped to bits on the disk Storage and retrieval of objects is also covered in 11 Many queries reference only a small proportion of the records in a le An index is a structure that helps locate desired records of a relation quickly, without examining all records The index in this textbook is an example, although, unlike database indices, it is meant for human use 12 describes several types of indices used in database systems User queries have to be executed on the database contents, which reside on storage devices It is usually convenient to break up queries into smaller operations, roughly corresponding to the relational algebra operations 13 describes how queries are processed, presenting algorithms for implementing individual operations, and then outlining how the operations are executed in synchrony, to process a query There are many alternative ways of processing a query, which can have widely varying costs Query optimization refers to the process of nding the lowest-cost method of evaluating a given query 14 describes the process of query optimization.

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The McGraw Hill Companies, 2001

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In preceding chapters, we have emphasized the higher-level models of a database For example, at the conceptual or logical level, we viewed the database, in the relational model, as a collection of tables Indeed, the logical model of the database is the correct level for database users to focus on This is because the goal of a database system is to simplify and facilitate access to data; users of the system should not be burdened unnecessarily with the physical details of the implementation of the system In this chapter, however, as well as in s 12, 13, and 14, we probe below the higher levels as we describe various methods for implementing the data models and languages presented in preceding chapters We start with characteristics of the underlying storage media, such as disk and tape systems We then de ne various data structures that will allow fast access to data We consider several alternative structures, each best suited to a different kind of access to data The nal choice of data structure needs to be made on the basis of the expected use of the system and of the physical characteristics of the speci c machine

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Several types of data storage exist in most computer systems These storage media are classi ed by the speed with which data can be accessed, by the cost per unit of data to buy the medium, and by the medium s reliability Among the media typically available are these: Cache The cache is the fastest and most costly form of storage Cache memory is small; its use is managed by the computer system hardware We shall not be concerned about managing cache storage in the database system Main memory The storage medium used for data that are available to be operated on is main memory The general-purpose machine instructions operate on main memory Although main memory may contain many megabytes of

There are a plethora of applications available to help manage and configure your Cisco/Windows network We covered some of the most powerful and widely used management applications in this chapter At the heart of most arrangements is a network management system such as HP OpenView or CiscoWorks2000 They use the SNMP protocol to communicate with network devices, learning everything about the devices' configuration and usage statistics The data is often centrally stored, simplified, and displayed in an easy-to-grasp topological map From here, the network administrator has the option to drill down into any device and see details about the device A fair number of ancillary applications are contained within the CiscoWorks product suite Some help manage switched networks, ATM networks, or particular Cisco devices This flexibility allows the administrator the ability to customize the management suite to fit the needs of their network, because no two networks are exactly the same In the next chapter we will turn our attention to managing Windows systems, exploring some new tools that are available for today's network administrators

The McGraw Hill Companies, 2001