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Blocks and Bu ers
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A system where the records themselves grow and shrink is forced to move and reallocate records within the blocks Depending on the design of the le structure, some or much of the space for the le may become fragmented and unusable Space no longer used can be allocated for reuse to retain the bene ts of a low loading ratio The density expected after a long period of operation is the equilibrium density
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A record will be obtained with least delay if it is placed close to its predecessor When a series of records has to be fetched, the clustering of the series is the most important factor in performance A similar consideration is encountered in paging systems where it is desirable that all memory references be located within a small number of pages If this is achieved, there is strong locality If serial references are far apart so that it is costly to get the next record, the locality is weak Locality as applicable to records in a le is categorized in Table 2-3
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Table 2-3
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Strong locality Record Record Record Record Record Record Record Record Record Record is in the same block and the block is available in memory is in the next available block on the same cylinder is on the same cylinder is on a current cylinder of another device is on adjoining cylinders is on a known cylinder position is unknown, computed using data in memory position is unknown, found by reading an auxiliary le is on a remote computer in a distributed network is on a device not currently on-line
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Weak locality If the data that are to be used during some transaction exhibit strong locality, we say that we are dealing with a clustered data structure Clustering applies to data in one or more les, and we will encounter this term mainly in the design of databases which include many les In a system where there is a variety of devices, the considerations which determine strength of locality will become more complex We will not attempt to de ne the strength of locality as a single, quantitative term, but we do use locality as a useful concept in le design
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2-3-3 Block Pointers The block pointers that have been used to link blocks to each other require some more elaboration We use block pointers to address a speci c data eld in secondary storage
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Physical disk addresses
Hardware and Its Parameters To refer to a unit of data on a disk, a physical aTake will have to specify up to six segments: number of the physical device number of the cylinder number of the surface sector or block number record number within the block eld or character number within a record
heath ddress 1 The 2 The 3 The 4 The 5 The 6 The
The complete physical address is composed of a sequence of such segments Use of such an address as a block pointer is both unwieldy and inadequate Integer arithmetic applied to a segmented address will lead to erroneous values Another problem with a segmented address occurs because di erent types of physical units in a computer system will have a di erent number of cylinders, surfaces, and blocks This means that multiple address formats have to be manipulated within one system A third problem occurs when diskpacks are exchanged on a physical device In that case a physical address does not correspond to a speci c item of data A nal problem is that record sizes and eld sizes are application dependent, so that the maximum number of these components in terms of the next higher components is not xed In most systems a block is the smallest xed unit under control of the operating system
Relative Addresses An alternative to physical addressing is the use of a relative address over the entire le domain Relative block, record, and character addresses are all used in practice A relative address is an integer ranging in value from zero (or one) to the maximum number of blocks within the domain of the system which controls the storage of data Figure 2-13 shows a sample system There will be a unique translation of a relative address to a physical address and vice versa, which allows access to the physical devices to be carried out by operating system routines when a relative address is given The application of such an algorithm is shown in Table 2-4
It is also possible to assign a symbolic address or block identi er to every block or record There is now no computable relationship between a symbolic address and its value An address table will provide the physical or relative address for every block in use, and a look-up procedure is executed to obtain the block address whenever a block is requested The block identi ers can be integers which select the table entry, or can use key-to-address transformation techniques as hashing Such methods are commonly used for the linkage of records in the ring- le structures presented in Sec 3-6 The use of an address table provides a exible assignment of blocks to storage Blocks or records can be moved, and the address table changed appropriately, so that references to the data which use the symbolic identi er remain valid The address table requires memory and additional accesses to storage when it gets larger than its memory allocation
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