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In addition to the bu er pool itself, the bu er manager maintains some bookkeeping information, and two variables for each frame in the pool: pin count and dirty The number of times that the page currently in a given frame has been requested but not released the number of current users of the page is recorded in the pin count variable for that frame The boolean variable dirty indicates whether the page has been modi ed since it was brought into the bu er pool from disk Initially, the pin count for every frame is set to 0, and the dirty bits are turned o When a page is requested the bu er manager does the following: 1 Checks the bu er pool to see if some frame contains the requested page, and if so increments the pin count of that frame If the page is not in the pool, the bu er manager brings it in as follows: (a) Chooses a frame for replacement, using the replacement policy, and increments its pin count (b) If the dirty bit for the replacement frame is on, writes the page it contains to disk (that is, the disk copy of the page is overwritten with the contents of the frame) (c) Reads the requested page into the replacement frame 2 Returns the (main memory) address of the frame containing the requested page to the requestor

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namespace Exercise_13_3 { interface IConvertible { string ConvertToCSharp(string stringToConvert); string ConvertToVB(string stringToConvert); } interface ICodeChecker : IConvertible { bool CheckCodeSyntax(string stringToCheck, string whichLang); }

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In this chapter we illustrate some of the varieties of le designs that can be obtained by combining the basic methods described in the previous chapter Such combinations can satisfy requirements that are not ful lled by the basic methods We will show in Sec 4-1 some simple structures which save space or retrieval time when the data or problems have a well-de ned structure In Sec 4-2 index construction techniques will be presented, leading to an example of a complex indexed-sequential le in Sec 4-3 In Sec 4-4 tree-structure les with data within an index-like structure are presented, leading to hierarchical les with an example in Sec 4-5 Sections 4-6 and 4-7 discuss combination-based or direct access and ring structures The nal two sections discuss les based on virtual storage and phantom les The information presented in this chapter is more diverse than the contents of Chap 3 Techniques described in earlier sections will often be applied again in combination with other le methods Many techniques improve the data-retrieval capability by adding redundancy but this increases the amount of space required and makes updates more di cult The aggregate performance of a system depends on the balance of update and retrieval usage, and will be presented in Chap 5

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We will review brie y the six basic le designs which were discussed in detail in Chap 3 The pile le provides a basic unstructured organization which is exible, uses space well when the stored data vary in size and structure, is easy to update, quite awkward for fetching speci c records, and amenable to exhaustive searches The sequential le, containing a collection of ordered xed records, is in exible, e cient for the storage of well-structured data, di cult to update, awkward for nding single records, and very suitable for e cient exhaustive processing The indexed-sequential le adds a single index to the sequential organization The result is a le which can be e ciently searched and updated according to one attribute, but is otherwise still fairly in exible The le is reasonably e cient for the storage of well-structured data, and suitable for exhaustive processing The multi-indexed le removes the constraint on sequentiality and allows many search attributes It is quite exible, reasonably e cient for data storage, permits very complex updates at some cost, allows convenient access to speci c records but is awkward for exhaustive processes Much storage may be occupied by the indexes The direct le is quite in exible because of its mapping requirements, has some storage overhead, allows updates at some cost in complexity but provides e cient record retrieval according to a single dimension Serial and exhaustive searches are, in general, impossible The multiring le provides for a number of record types with many interconnections Redundant and empty elds are reduced, but some space is required for the linkage pointers Updates may be performed at a moderate cost The ring organization provides exible, but not always fast, access to single records and allows great exibility for exhaustive or subset searches

Example A-36. One solution to Exercise 13-3 (continued)

Table 4-1

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Just use FileStream to save your document. Dim pdfDoc As New Document( iTextSharp.text.PageSize.A4) Dim pdfWrite As PdfWriter = PdfWriter.

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