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occurs Preventitve tidying helps to avoid full disks Whether one regards this as maintenance or performance tuning is a moot point The effect is to save us time and loss of resource availability See section about making file systems Another issue with disk efficiency is the configuration of block sizes This is a technical issue which one probably does not want to play with too liberally Briefly, the standard unit of space which is allocated on a file system is a block Blocks are quite large, usually around 8 kilobytes Even if we allocate a file which is one byte long, it will be stored as a separate unit, in a block by itself, or in a fragment Fragments are usually around 1 kilobyte.

Retrieving the data for these files therefore takes no more time than is required to locate them in the b-tree, which makes ReiserFS an excellent choice for filesystems in which large numbers of small files are constantly being created and deleted, such as mail directories or mail servers ReiserFS also provides other optimization that can lead to dramatic space savings compared to traditional filesystems When a file is stored on a filesystem, filesystem blocks are allocated to actually store the data that the files contain If you had a block size of 4K, but wished to store a file of 6K on the disk, you would be wasting 2K of disk space because a block belongs to one file only and in this case you would have to occupy two, wasting 2K and therefore not optimally using the space.

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Differential evolution (DE) is a population-based search strategy very similar to standard evolutionary algorithms. The main difference is in the reproduction step used by DE, which presents the advantage that DE can operate on flat surfaces. DE has been applied successfully to the design of digital filters, mechanical design optimization and evolving game strategies. This chapter gives a short overview of DE, with specific focus on the reproduction step, which consists of a new arithmetic mutation operator and a selection operator. The reproduction method is discussed in Section 13.1. A pseudocode algorithm is given in Section 13.2 to summarize DE.

ReiserFS can also store these fragments in its b-tree by packing them together, which provides another way of minimizing disk space consumption in a ReiserFS filesystem Later in the chapter, we look at some published benchmarks comparing filesystems in different situations..

If we have many small files, this can clearly lead to a large wastage of space, and it might be prudent to decrease the file system block size If, conversely, we deal with mostly large files, then the block size could be increased to improve transfer efficiency The file system parameters can, in other words, be tuned to balance file size and transfer rate efficiency Normally, the default settings a good compromise Tuning the network is a complex subject and few operating systems allow us to do it at all Solaris' ndd command can be used to configure TCP/IP parameters which can lead to noticable performance improvements See the excellent discussion in ref [] As far as software tuning is concerned, we have few options The time we wait for a service to reply to a query is called the latency.

JFS is a port of IBM s Journaling Filesystem to Linux. JFS was originally developed for IBM s OS/2 operating system and later adapted for use as the enterprise filesystem used on its pSeries/AIX-based systems. IBM released the source code for JFS to the open source community in 2000 and has actively participated in the continuing development and support of this filesystem for Linux since that time. JFS is similar to ReiserFS in that it uses binary trees to store information about files. JFS is heavily based on transactions, in much the same way that databases are, using these as the basis for the records that it maintains in its journal. JFS provides a very fast method of data allocation based on extents. An extent is a contiguous series of data blocks that can be allocated, read, written, and managed at one time. JFS also makes clever use of filesystem data structures such as the inode (information node) data structure that is associated with each single file or directory in the filesystem. At least one inode exists for every file in the filesystem, but JFS creates them only when files and directories are created. In traditional filesystems, the number of inodes (and thus the number of files) on a filesystem was dictated at filesystem creation time. This could lead to a situation in which even though there was enough space on the device, no more files could be created because there was nowhere to store information about the file. Creating inodes as files and

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