Windows File System Comparison Essay Example | Topics and Well Written Essays - 750 words

Windows File System Comparison - Essay Example The two main categories of file systems used by different Microsoft Windows operating systems are the File Allocation Table (FAT) and the New Technology File System (NTFS). There are different versions of FAT, which are FAT 12, FAT 16, and FAT 32; while for NTFS, there are NTFS or NTFS 4 and NTFS 5. These file systems have many characteristics in common which will be pointed out in the discussion below. The FAT file system is the one being used by Microsoft DOS and older versions of Microsoft Windows. In fact, any version of Windows can have FAT as its file system. When a volume is formatted and the FAT file system is used, a data structure is created by Windows which is used to record the data blocks on the hard drive that are allocated to each file in order for the files to be retrieved at a latter time. FAT is considered to be a simple file system which makes it an ideal file system format for most memory cards and floppy disks. FAT file system is suggested if the computer has two operating systems installed. FAT file system allows file sharing among different operating systems. That is one advantage of using FAT as the start-up partition even for newer computers that have the latest versions of Microsoft Windows. One of the major limitations of the FAT file system is its ability to handle large files and volumes. ... However, its maximum volume limit is 16 MB which is why this is only commonly used in floppy disks. FAT 16 This file system supports all versions of Microsoft operating systems but only allows a maximum volume size of 2 to 4 GB and maximum files of 65,536. The maximum size a file can have is also 2 GB. The standard FAT 16 version only allows 8 characters in the file name and 3 characters for the extension name; whereas with the extended version, it already allows up to 255 characters. FAT 32 The only operating systems that are supported by this file system are DOS 7.0, Windows 98, ME, 2000, and XP. The volume size limit is increased to 32 GB for all operating systems, but in some cases, up to 2 TB. The maximum number of files that can be on a FAT 32 volume is 4,194,304 with a maximum file size of 4 GB less 2 bytes. New Technology File System (NTFS) As Yousef stated, the New Technology File System or NTFS is: An advanced file system that provides performance, security, reliability, and advanced features that are not found in any version of FAT. For example, NTFS guarantees volume consistency by using standard transaction logging and recovery techniques. If a system fails, NTFS uses its log file and checkpoint information to restore the consistency of the file system. In Windows 2000 and XP, NTFS also provides advanced features such as file and folder permissions, encryption, disk quotas, and compression. (2004) Both versions of NTFS have the maximum volume size limit of 2 TB but there is no limit to the number of files that can be stored in the volume, as well as to the file size. NTFS 4 or plain NTFS started with Windows NT 4.0 and can also support Windows 2000, XP and 2003 Server. NTFS 5 also has support for the same

MAE Assingment Assignment Example | Topics and Well Written Essays - 2000 words

MAE Assingment - Assignment Example Dev.   0.025827   11240942   65635008   0.019383   Observations   45   45   45   45 Table 1 above presents the descriptive statistics for our variables of interest. The only point of concern that may arise in this situation is that all the variables reflect some degree of skewness which violates the normality assumption. Additionally, the fact that the number of observations is only 45 may also be a point of concern since this can lead to small sample bias. 2. Time plots Figure 1: Time plot of P There are no seasonal patterns evident in the time plot of P. Figure 2: Time plot of Q The time plot of Q exhibits strong seasonal variations. Figure 3: Time plot of G As is evident from figure 3 above, similar to the time plot of P, the time plot of G also does not exhibit seasonal fluctuations. Figure 4: Time plot of X Figure 4 shows that X also follows a seasonally fluctuating pattern 3. Thus, there is strong evidence of seasonal fluctuations among the Q and X series. Thi s is visible in the oscillatory patterns that these series seem to follow. The series P and G exhibit no seasonal patterns. Additionally, all the series reflect a steady upward trend. Therefore inclusion of seasonal dummies is important since our dependent variable Q does exhibit seasonal fluctuations. ... 18.31869 0.0000 P -7530.197 6092.988 -1.235879 0.2235 G -84559.50 9770.479 -8.654591 0.0000 X 1.865016 0.111494 16.72746 0.0000 R-squared 0.915605   Ã‚  Ã‚  Ã‚  Mean dependent var 4442.111 Adjusted R-squared 0.909430   Ã‚  Ã‚  Ã‚  S.D. dependent var 505.4463 S.E. of regression 152.1132   Ã‚  Ã‚  Ã‚  Akaike info criterion 12.97181 Sum squared resid 948675.2   Ã‚  Ã‚  Ã‚  Schwarz criterion 13.13241 Log likelihood -287.8658   Ã‚  Ã‚  Ã‚  Hannan-Quinn criter. 13.03168 F-statistic 148.2710   Ã‚  Ã‚  Ã‚  Durbin-Watson stat 1.390217 Prob(F-statistic) 0.000000 From table 2 above we find that the estimated coefficients for both P and X are significantly different from zero (evident from the t-statistic). G however is not a significant determinant of Q. The coefficients reflect that the demand for drink and tobacco is negatively influenced by the price of the items and positively influenced by the total consumer expenditure. The coefficient on G is also negative but since it is not significantly different from 0 at the 5% level, we conclude that it does not have an influence on drink and tobacco demand. Thus, our results imply that an increase in the prices of drinks and tobacco will lead to a reduction in its demand while an increase in overall consumer expenditure leads to an increase in the demand. 5. Attempting to include all four dummies leads to perfect multicollinearity. Thus we modify the equation and include dummies for the 1st 3 quarters only. Table 3 presents the results. Table 3: OLS estimation with quarterly dummies Dependent Variable: Q Method: Least Squares Date: 09/01/11 Time: 01:01 Sample: 1980Q1 1991Q1 Included observations: 45 Coefficient Std. Error t-Statistic Prob.  Ã‚   C 5127.935 356.9563 14.36572 0.0000 P -8713.964 2700.994 -3.226206 0.0026 X 0.805451 0.096091 8.382187 0.0000 G -23150.70