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Pagebased data caching, close to where the use is, will presumably speed up the response time for queries that run frequently when data does not change often [Dewitt90a] [Franklin93] A similar caching approach is proposed for an index lookup by Lomet [Lomet96] An index page fault happens when data required by a query is not in the cache In this case, the page containing the data is brought into memory If the cache is full, the least recently used page will be written back to the disk to make room available for the required page Hybrid Shipping Hybrid shipping combines data and operation shipping This approach takes advantage of the speed of database servers to perform expensive operations such as joins by transferring the smaller relation to the server where the larger relation resides Figure 419 depicts the three alternatives mentioned above 452.

Little also mentioned, but did not study, a test based on both means and covariances, in which the homogeneity of available covariance matrices is simultaneously studied with homogeneity of means He expected that this test might not perform well due to its typically large.

2 Dynamic Programming in Distributed Systems The dynamic programming principles we discussed for centralized systems can also be used for query optimization in distributed systems The following example applies dynamic programming to a distributed database..

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discussion of meaning, this old man had taken a dialectic perspective on his situation throughout his life without anyone being quite aware of it, and he was now advocating such a view explicitly to his family. That is to say, recognizing fully the nature of his oppressive circumstances, this old man had acted one way, but at the same time he had quite the opposite mental perspective on the racial situation. This was his way of sustaining his human qualities despite and in rejection of the obstacles and meannesses that had been imposed upon him. And he was urgently trying to pass that strategy on to his family as a part of his legacy. Thus, we cannot understand this man s behavior unless we take an introspective or rst-person view. And so it is with African Americans: If we are to have true to life psychological descriptions, in addition to our more objective descriptions, we must learn to conceptualize and align ourselves with the inner worlds the subjectivity of people of color if our theory and practice is to be relevant to their experience. This is the opportunity that the fresh winds in psychology have brought us the possibility of including into our discipline a more proactive conception of the human being that will contribute to the understanding and advancement of people in all of their plurality.

A rule would have to be in your style sheet as well:

Proof: Using the conditional normality of Xn , we have 1 2 (17.140) log 2 e n = h(Xn |X1 , X2 , . . . , Xn 1 ) 2 = h(X1 , X2 , . . . , Xn ) h(X1 , X2 , . . . , Xn 1 ) (17.141) 1 1 log(2 e)n |Kn | log(2 e)n 1 |Kn 1 | (17.142) 2 2 1 (17.143) = log 2 e|Kn |/|Kn 1 |. 2 =

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carrying a Web object speci es a cache radius, say, 3, and every third hop along the way caches the Web object. The object is therefore distributed to the Internet at a certain density controlled by the cache radius. The caches also store the cache directories of nearby caches. At any router, a Web request is either served from the local cache, forwarded to the nearest cache that has the requested object, or forwarded toward the document source. Some simple analysis [93] suggests that the proposed scheme is bene cial and effective.

(1.36)

where a is a learning constant (the value of a 1 is assumed without loss of generality). It has to be noticed that the absence of problem-speci c parameters is an obvious advantage in any algorithm (this is especially true for online algorithms). Whereas the parameter a is suitable for all problems, the value of the radius is to a great extent problem speci c (although suggested values in range [0.3;0.5] for normalized data are also relatively problem independent, it can be demonstrated that it does affect the results). Figure 2.9 illustrates the evolution of the radius in eTS .