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Amazon EC2 is the most general purpose of the major clouds but has the least support for automatic scaling or failover, both of which have to be programmed into the application. This is in contrast to the automatic and invisible scaling that occurs in the PaaS types of clouds, such as Google s AppEngine, which we ll discuss in section 2.2.3. In IaaS-type clouds, such as EC2, elasticity requires careful programming using their APIs. On the other hand, you can use any programming language, and you have complete control over your Table 2.6 The components of the LAMP stack application in an IaaS cloud. Sure, it in an IaaS cloud requires more manual work, but you get something that has the appearance of L Linux Operating system being physical hardware that you have A Apache Web server control over from the operating system M MySQL Relational database outward. The LAMP stack is the easiest P PHP Server side of website and most common EC2 configuration (see table 2.6).

Page 61 return 0; }

Without the cast (float), only an integer division would have been performed The cast ensures that the fractional part of the answer is displayed Spacing and Parentheses You can add tabs and spaces to expressions to make them easier to read For example, the following two expressions are the same:

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database diagram If you feel more comfortable with the 1-M style, then use it In terms of the ERD, the M-N and 1-M styles have the same meaning The transformation of an M-N relationship into 1-M relationships is similar to repre senting an M-way relationship using 1 -M relationships Whenever an M-N relationship is represented as an associative entity type and two 1-M relationships, the new entity type is identification dependent on both 1-M relationships, as shown in Figure 518 Similarly, when representing M-way relationships, the associative entity type is identification depen dent on all 1-M relationships as shown in Figures 516 and 517 There is one situation when the 1-M style is preferred to the M-N style When an M-N relationship must be related to other entity types in relationships, you should use the 1-M style For example, assume that in addition to enrollment in a course offering, attendance in each class session should be recorded In this situation, the 1-M style is preferred be cause it is necessary to link an enrollment with attendance records Figure 519 shows the Attendance entity type added to the ERD of Figure 518 Note that an M-N relationship between the Student and Offering entity types would not have allowed another relationship

x=10/y~(127/x); x = 10 / y ~(127/x);

Figure 519 provides other examples of identification dependencies Attendance is identification dependent on Enrollment in the RecordedFor relationship The primary key of Attendance consists of AttDate along with the primary key of Enrollment Similarly, Enrollment is identification dependent on both Student and Offering The primary key of Enrollment is a combination of StdSSN and OfferNo

Redundant or additional parentheses do not cause errors or slow down the execution of an expression You should use parentheses to clarify the exact order of evaluation, both for yourself and for others For example, which of the following two expressions is easier to read

x = y/3-34*temp+127; x = (y/3) - (34*temp) + 127;

People classify entities to better understand their environment For example, animals are classified into mammals, reptiles, and other categories to understand the similarities and differences among different species In business, classification is also pervasive Classifi cation can be applied to investments, employees, customers, loans, parts, and so on For example, when applying for a home mortgage, an important distinction is between fixedand adjustable-rate mortgages Within each kind of mortgage, there are many variations distinguished by features such as the repayment period, the prepayment penalties, and the loan amount This section describes ERD notation to support classification You will learn to use gen eralization hierarchies, specify cardinality constraints for generalization hierarchies, and use multiple-level generalization hierarchies for complex classifications

Casts, 60-61 ceil( ), 391-392 cgets( ), 209 char data type, 18, 19, 20 Character(s) in console I/O, 206-209, 223 constants, 37 constants, table of backslash, 39 control, 354 in file I/O, 235-236 functions, wide-, 472-482 handling functions, 354-365, 381-382 printable, 354 clearerr( ), 310-312 clock( ), 419-420 clock_t type, 418 CLOCKS_PER_SEC macro, 418 COBOL, 5, 8 Code absolute, 281 block, 8, 22, 719, 720 compartmentalization of, 6-8 and declarations, interspersed, 286-287 hiding, 683-685 in-line, 695, 698 object See Object code portable, creating, 698-699 relocatable, 281 source See Source code

Combinatorics, 608 Comma operator, 56 Command line arguments, 155-158 Comments, 274-275, 286 Compilation of C program with C++ compiler, 14 conditional, 266-270 methods of, 13 separate, 12-13, 302-303 Compile time, 15 Compilers versus interpreters, 9-10, 714, 715 _Complex data type, 18, 284, 484 Complex library, 484 math functions, table of, 485-487 complex macro, 484 <complexh> header, 284, 293, 484 _Complex_I macro, 484 Compound statements, 64, 93 Conditional expression, 72 const type qualifier, 28-30, 286 Constants, 37-39 continue statement, 91-93 copysign( ), 392 cos( ), 392-393 cosh( ), 393-394 CreateWindow( ) API function, 672cscanf( ), 209 ctime( ), 420-421 <ctypeh> header, 354

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