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For query optimization discussion, it is more convenient to use a query tree instead of the RA expression. A query tree is a tree whose leaves represent the relations and whose nodes represent the query s relational operators. Unary operators take one relation as input and produce one relation as output, while binary operators take two relations as input and produce one relation as output. That is why every operator s output can be fed into any other operator. Results from one level s operators are used by the next level s operators in the tree until the nal results are gathered at the root. All operators have the same relation-based interface for input and output. This helps with a uniform interface implementation for the query execution manager. This uniformity has given rise to the use of this operator model in most commercial systems such

and received at time t is: i0 , (i 1) n1 j d, where i0 b t T1 dmax = D1 c 1, and dmax is the maximum clock discrepancy between the base station and the sensor node When sensor nodes are initialized, their clocks are synchronized with the base station In addition, the starting time T1 , the commitment K0 of the high-level key chain, the duration D0 of each high-level time interval, the duration D1 of each low-level time interval, the disclosure lag d for the low-level key chains, and the maximum clock discrepancy dmax between the base station and the sensor nodes throughout the lifetime of the sensor network are distributed to the sensor nodes In order for the sensor nodes to use a low-level key chain kKi,0 l during the time interval Ii , they must authenticate the commitment Ki,0 before Ti .

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Dynamic Programming Steps for Example 42 Step 1: 1-Relation Plans The only select operator in this example is on the Branch relation looking for branches in city Edina There are only two possible access paths that can be considered for the select operation on the Branch relation One approach is to scan the entire relation and the other is to use the B+Tree index Since there are only 100 branches in the bank, the entire relation can be stored in one or two disk pages Therefore, the cost of scan is two disk I/Os The other access plan uses the index on Bname to locate each leaf where Edina is stored as the value Since the primary key of the Branch relation is Bname, Edina is stored 10 times (one for each branch in Edina).

which is the log sum inequality. We now use the log sum inequality to prove various convexity results. We begin by reproving Theorem 2.6.3, which states that D(p||q) 0 with equality if and only if p(x) = q(x). By the log sum inequality, D(p||q) = = 1 log p(x) log p(x) q(x) p(x) q(x) (2.102) (2.103) (2.104)

To achieve this goal, the base station broadcasts a commitment distribution message, denoted as CDMi , during each time interval Ii (In this chapter, we use commitment distribution message and its abbreviation CDM interchangeably) This message consists of the commitment Ki 2,0 of the low-level key chain kKi 2,0 l and the key Ki 1 in the high-level key chain Speci cally, the base station constructs the CDMi message as follows: CDMi ijKi 2,0 jMACKi0 (ijKi 2,0 j)Ki 1 , where j denotes message concatenation, and Ki0 is derived from Ki with a pseudorandom function other than F0 and F1 Thus, to use a low-level key chain kKi,0 l during Ii , the base station needs to generate the key chain during Ii 2 and distribute Ki,0 in CDMi 2 .

Even though there are multiple values of Edina stored in the leaves, since the B+Tree index sorts the keys in the leaves, all values of Edina will probably be stored in one leaf It takes two disk I/Os to traverse from the root of the index to reach this leaf Once we have found the desired leaf, we have to nd database pages where the needed tuples are stored Since Branch relation occupies only two disk pages, we have to spend two additional disk I/Os to read in the tuples This makes the total cost of using the index four disk I/Os As a result, scanning the relation is more ef cient than using the index Scanning the Branch relation will be used as its access path This is also what is called the 1-relation plan for Branch There are no select operations de ned for Customer or Account.

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