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commitment in an equivalent serial schedule The same holds true for serial schedules that are equivalent to S2 and S3 In all three schedules, since transaction T1 performs a con icting operation on data item X before T2 performs its operation, then T1 needs to commit before T2 commits Two transactions may con ict more than once, depending on the data items in each and the operations being performed Each pair of con icting operations in the schedule puts a commitment order requirement on the transactions that request the operations We call the commitment order that a pair of con icting operations put on the system a partial commitment order (PCO) We know that there are multiple transactions in the system and there can be many con icts among them.

The following example is a simple event-handler procedure that is executed when the embedded chart is activated. This procedure simply pops up a message box that displays the name of the Chart object s parent (which is a ChartObject object).

Considering all possible PCOs for a schedule, we conclude that the schedule is serializable if and only if none of the PCOs are contradictory We can validate that there is no contradiction among PCOs by forming a graph that contains all PCOs and checking the graph for nonexistence of cycle(s) We call this graph the total commitment order (TCO) graph To summarize the above discussion, we say a schedule is serializable if and only if its TCO is acyclic Example 53 Let s consider the schedule S1 = R1(X), R2(X), W2(X), W1(X) There are three con icts in this schedule between transactions T1 and T2 The rst con ict is between R1(X) and W2(X) Because of this con ict, T1 must commit before T2 commits We show this by the order T1 T2 The con ict between R2(X) and W1(X) requires that T2 T1.

The con ict between W2(X) and W1(X) requires that T2 T1 As a result, the total commitment order graph has a cycle in it That is because, on the one hand, we have the requirement that transaction T1 needs to commit before T2 and, at the same time, we also have the requirement that transaction T2 needs to commit before transaction T1 commits Since this is not possible, the schedule is not serializable Example 54 As another example, consider the schedule S2 = R2(X), R1(X), W2(X), W3(X) For this schedule, the four PCOs are T2 T3, T1 T2, T1 T3, and T2 T3 We can satisfy all these requirements if we commit T1 before T2 and commit T2 before T3, which means that we need to have the total order T1 T2 T3 Since this total ordering does not have any cycles in it, schedule S2 is serializable.

TABLE 5.2 Message Sequence during Inquiry Process Step 1 2 Message ID FHS Direction Master to slave Slave to master Hopping Sequence Inquiry Inquiry response Access Code and Clock Inquiry Inquiry

This also means that S2 is equivalent to the serial schedule R1(X), R2(X), W2(X), W3(X)..

Figure 13.3. An overview of the variation found in the mean data from the ANOVA-Partial Least Squares Regression (APLSR) correlation loadings plot for each of the 4 MAP treatment groups. Shown are the loadings of the X and Y variables for the rst 2 PCs for = days and the individual MAP treatments, = sensory descriptor and instrumental variables. Im (Immediate) = meat samples cooked immediately after opening of the MA packaging and presented to panelists. Dis (Dissipate) = meat samples left 30 min in ambient air to let any CO2 dissipate, then cooked and presented to panelists. The concentric circles represent 100% and 50% explained variance, respectively. (Adapted from O Sullivan et al. 2010.)

FIGURE 2.10 Cost difference of intradomain optimization without Ie to interdomain optimization with Ie as well as interdomain optimization without Ie to interdomain optimization with Ie.

connections considered in the discussions are assumed to be between a mobile host in the wireless network and a static host in the backbone Internet Such an assumption is reasonable, given that most of the Internet applications use the client server model (eg, http, ftp, telnet, e-mail, etc) for their information transfer Hence, mobile hosts will be expected to predominantly communicate with backbone servers, rather than with other mobile hosts within the same wireless network or other wireless networks However, with the evolution of applications wherein applications on peer entities more often communicate with each other, such an assumption might not hold true 1332 Random Losses A fundamental difference between wireline and wireless networks is the presence of random wireless losses in the latter.