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A system is in a deadlock state if there exists a set of transactions such that every transaction in the set is waiting for another transaction in the set More precisely, there exists a set of waiting transactions {T0 , T1 , , Tn } such that T0 is waiting for a data item that T1 holds, and T1 is waiting for a data item that T2 holds, and , and Tn 1 is waiting for a data item that Tn holds, and Tn is waiting for a data item that T0 holds None of the transactions can make progress in such a situation The only remedy to this undesirable situation is for the system to invoke some drastic action, such as rolling back some of the transactions involved in the deadlock Rollback of a transaction may be partial: That is, a transaction may be rolled back to the point where it obtained a lock whose release resolves the deadlock There are two principal methods for dealing with the deadlock problem We can use a deadlock prevention protocol to ensure that the system will never enter a deadlock state Alternatively, we can allow the system to enter a deadlock state, and then try to recover by using a deadlock detection and deadlock recovery scheme As we shall see, both methods may result in transaction rollback Prevention is commonly used if the probability that the system would enter a deadlock state is relatively high; otherwise, detection and recovery are more ef cient Note that a detection and recovery scheme requires overhead that includes not only the run-time cost of maintaining the necessary information and of executing the detection algorithm, but also the potential losses inherent in recovery from a deadlock

The McGraw Hill Companies, 2001

CONSTRAINT PKOffering PRIMARY KEY (OfferNo) ) CREATE TABLE Teaches ( OfferNo INTEGER, FacSSN CHAR(11) NOT NULL, CONSTRAINT PKTeaches PRIMARY KEY (OfferNo), CONSTRAINT FKFacSSN FOREIGN KEY (FacSSN) REFERENCES Faculty, CONSTRAINT FKOfferNo FOREIGN KEY (OfferNo) REFERENCES Offer )

The majority of Cisco network devices offer a user-friendly browser application interface that can be used instead of the command line interface (CLI) Using a Web browser, you can easily perform configuration modifications without having to know the command syntax of Cisco's CLI

derived attribute total participation of entity set in relationship discriminating attribute of weak entity set many-to-one relationship

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Whether to use a strong or a weak entity set (Section 26); a strong entity set and its dependent weak entity sets may be regarded as a single object in the database, since weak entities are existence dependent on a strong entity Whether using generalization (Section 272) is appropriate; generalization, or a hierarchy of ISA relationships, contributes to modularity by allowing com-

6 Developing Data Models for Business Databases 189 and 626 depict an example o f converting an optional 1-M relationship with an attribute N o t e that the Lists table contains the Commission column

The McGraw Hill Companies, 2001

Network redundancy is accomplished through Hot Standby Router Protocol (HSRP) and Simple Server Redundancy Protocol (SSRP) HSRP provides seamless failover between routers; and SSRP provides automatic routing among routers and ATM switch groups following the detection of device failures In addition, Cisco IOS provides the following reliability features: Deterministic Load Distribution (DLD), for load balancing among multiple links Fast Ether Channel (FEC), which uses multiple ports to provide additional bandwidth and redundancy between switches, routers, and servers Enhanced Interior Gateway Routing Protocol (EIGRP), which supports convergence for load balancing, as well as backup across redundant links and Cisco IOS devices, to minimize congestion Cisco Express Forwarding (CEF), to maintain full-forwarding state and performance even during network topology and routing changes

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mon attributes of similar entity sets to be represented in one place in an E-R diagram Whether using aggregation (Section 275) is appropriate; aggregation groups a part of an E-R diagram into a single entity set, allowing us to treat the aggregate entity set as a single unit without concern for the details of its internal structure We shall see that the database designer needs a good understanding of the enterprise being modeled to make these decisions

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