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Since the dawn of client/server computing, the Holy Grail has been to build the "intelligent network," simplifying the operation of distributed systems The goal is to achieve policy-based controls that can be applied dynamically to network resources This notion of policy-based networking promises as its major payoff the ability to provide selected, guaranteed levels of service needed to run evermore-powerful network applications This requires close control over parameter settings inside devices, something not yet possible under today's standard practice of telnetting into individual devices and implementing changes one by one Under policy-based networking, however, settings will be made all at once from a central management console, and the devices will thereafter adjust their own behavior as needed, based on current operating conditions The sheer size and complexity of today's internetworks has created an urgent need for policybased networking But beyond magnitude, a new breed of applications is also driving the computer industry to provide better real-time control over network operations These applications videoconferencing, Voice over IP (VoIP), and others require committed levels of service in order to work It may be acceptable for a DNS lookup or an e-mail to be a little tardy, but video and voice packets are sensitive to the transmission timing and sequence Without guaranteed network service levels, these high-powered applications don't work well Robust directory services that put all network devices on the same informational page are necessary to guarantee these committed service levels

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So far, we have considered only the representation of the relations themselves A relational-database system needs to maintain data about the relations, such as the Hayes Hayes Hayes Hayes Turner Turner Figure 1119

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Table 4B1 summarizes syntax differences among Microsoft A c c e s s ( 1 9 9 7 to 2 0 0 3 ver sions), Oracle 8i to lOg, Microsoft S Q L Server, and IBM's D B 2 The differences involve the parts o f the SELECT statement presented in the chapter

The McGraw Hill Companies, 2001

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Policy-based networking is most often associated with Quality of Service (QoS) a robust technology despite its hype-sounding name QoS is a suite of protocols, algorithms, and applications that work in concert to exert fine-grained control over real-time network operations and guarantee users or applications the network throughput levels they need At least, that's the idea Still a nascent technology, QoS should start realizing its promise during the first few years of the twenty-first century Cisco has built a number of QoS commands into its IOS operating system, and has even rolled out a product named Cisco QoS Policy Manager to provide an operations console for QoS-enabled networks QoS is covered in 15 of this book The mission of QoS is to allocate bandwidth and other network resources dynamically, based on interrelated factors such as user, application, location, time of day, and the like Once QoS technology is achieved, network behaviors can be adjusted automatically, on-the-fly, to respond to events as they occur Such events include reprioritizing network traffic demand, according to a mix of factors such as available routes or a new service demand For example, a major videoconference being set up by an R&D group might get priority status Once attained, such pervasive network automation and control will enable designers to scale up to ever-larger networks running an increasingly broad mix of applications (most of the new ones are bandwidth hungry by nature) The new breed of applications includes real-time videocasting, VoIP, public key infrastructure (PKI) security, various audio services, and so on

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schema of the relations This information is called the data dictionary, or system catalog Among the types of information that the system must store are these: Names of the relations Names of the attributes of each relation Domains and lengths of attributes Names of views de ned on the database, and de nitions of those views Integrity constraints (for example, key constraints) In addition, many systems keep the following data on users of the system: Names of authorized users Accounting information about users Passwords or other information used to authenticate users Further, the database may store statistical and descriptive data about the relations, such as: Number of tuples in each relation Method of storage for each relation (for example, clustered or nonclustered) The data dictionary may also note the storage organization (sequential, hash or heap) of relations, and the location where each relation is stored: If relations are stored in operating system les, the dictionary would note the names of the le (or les) containing each relation If the database stores all relations in a single le, the dictionary may note the blocks containing records of each relation in a data structure such as a linked list In 12, in which we study indices, we shall see a need to store information about each index on each of the relations:

SELECT Syntax Differences among Major DBMS Products Access 97/2000/2002/2003 *, although the % and _ characters can be used in the 2002/2003 versions by setting the query mode No Surround in # symbols <> Yes Not supported

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