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Other schedules are possible T4 will not print out an inconsistent result in any of them; we shall see why later Unfortunately, locking can lead to an undesirable situation Consider the partial schedule of Figure 167 for T3 and T4 Since T3 is holding an exclusive-mode lock on B and T4 is requesting a shared-mode lock on B, T4 is waiting for T3 to unlock B Similarly, since T4 is holding a shared-mode lock on A and T3 is requesting an exclusive-mode lock on A, T3 is waiting for T4 to unlock A Thus, we have arrived at a state where neither of these transactions can ever proceed with its normal execution This situation is called deadlock When deadlock occurs, the system must roll back one of the two transactions Once a transaction has been rolled back, the data items that were locked by that transaction are unlocked These data items are then available to the other transaction, which can continue with its execution We shall return to the issue of deadlock handling in Section 166 If we do not use locking, or if we unlock data items as soon as possible after reading or writing them, we may get inconsistent states On the other hand, if we do not unlock a data item before requesting a lock on another data item, deadlocks may occur There are ways to avoid deadlock in some situations, as we shall see in Section 1615 However, in general, deadlocks are a necessary evil associated with locking, if we want to avoid inconsistent states Deadlocks are de nitely preferable to inconsistent states, since they can be handled by rolling back of transactions, whereas inconsistent states may lead to real-world problems that cannot be handled by the database system We shall require that each transaction in the system follow a set of rules, called a locking protocol, indicating when a transaction may lock and unlock each of the data items Locking protocols restrict the number of possible schedules The set of all such schedules is a proper subset of all possible serializable schedules We shall present several locking protocols that allow only con ict-serializable schedules Before doing so, we need a few de nitions Let {T0 , T1 , , Tn } be a set of transactions participating in a schedule S We say that Ti precedes Tj in S, written Ti Tj , if there exists a data item Q such that Ti has held lock mode A on Q, and Tj has held lock mode B on Q later, and comp(A,B) = false If Ti Tj , then that precedence implies that in any equivalent serial schedule, Ti must appear before Tj Observe that this graph is similar to the precedence.

2 (316T and 316C); 1 switched uplink module (400)

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The book contains both basic and advanced material, which might not be covered in a single semester We have marked several sections as advanced, using the symbol These sections may be omitted if so desired, without a loss of continuity It is possible to design courses by using various subsets of the chapters We outline some of the possibilities here: 5 can be omitted if students will not be using QBE or Datalog as part of the course If object orientation is to be covered in a separate advanced course, s 8 and 9, and Section 119, can be omitted Alternatively, they could constitute the foundation of an advanced course in object databases 10 (XML) and 14 (query optimization) can be omitted from an introductory course Both our coverage of transaction processing (s 15 through 17) and our coverage of database-system architecture (s 18 through 20) consist of

D e s i g n documentation should be incorporated into your ERD If you are using a drawing tool that has a data dictionary, y o u should include design justifications in the data dictio nary The ER Assistant supports design justifications as well as comments associated with each item o n a diagram You can use the comments to describe the meaning o f attributes If y o u are not using a tool that supports documentation, y o u can list the justifications o n a separate page and annotate your E R D as shown in Figure 610 The circled numbers in Figure 612 refer to explanations in Table 63 N o t e that s o m e o f the refinements shown previously were not used in the revised ERD

The McGraw Hill Companies, 2001

Cisco IOS provides a means of leveraging voice transmission over in-place data networks Compared with traditional phone lines, leased lines, and other dedicated alternatives, using data networks to transfer voice costs less Voice-over-data networks provide options such as standard telephone calling, fax transmissions, videoconferencing, whiteboard discussions, and voice calls from World Wide Web pages However, Voice over IP (VoIP) will only work when deployed on supported network devices Currently, the 2600, 3600, and 7200XVR router series support VoIP VoIP is the most flexible choice for voice transport because it can run over any layer-1 or layer-2 infrastructures An integral part of providing multiservice connectivity to remote sites is the capability to switch voice among the sites This flexibility is particularly important in heterogeneous environments in which remote sites may be interconnected with Frame Relay links Voice over Frame Relay (VoFR) is configured on supported Cisco routers to carry voice traffic such as telephone calls and faxes over a Frame Relay network VoFR protocol is different from the VoIP protocol; therefore, when the media changes to Frame Relay, the VoIP protocol has to be switched to the VoFR protocol On Frame Relay links, high-quality levels of service for voice and video are provided by the FRF11 and FRF12 standards FRF11 provides compliant VoFR trunking; FRF12 provides compliant end-to-end fragmentation Cisco's MC3810 Multiservice Concentrator enables organizations to integrate voice, fax, video, data, and LAN traffic over a single network backbone In addition to the MC3810, the 2600 and 3600 routers also support VoFR

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