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The case that we will use for this discussion is of two IP networks interconnected via an X25 network, which is similar to the configuration used in the discussion on configuring X25 interfaces in Chap 6 Assuming that all the Physical layer issues having to do with leased lines and cables are operational but connectivity across the X25 network is still not available, we need consider what at the X25 level can stop communication The first thing to do is determine that the X121 addresses are correct, both for the address assigned to your X25 interface and those used to address remote hosts in the X25 map statements Next, check that one of the devices is configured as an X25 DTE and the other as an X25 DCE This has nothing to do with the DTE and DCE that we talk about at the Data Link level, where we are concerned with the DCE supplying a clock signal for synchronization In X25, there is a DTE and DCE specification at the Network layer as well as at the Data Link layer The default condition is for the interface to be configured as an X25 DTE To change it to DCE, the encapsulation configuration command must be entered as encapsulation x25 dce Next, check whether routing updates are getting from and to the remote locations To do this, you must view the configuration of the routers and make sure that all the X25 map statements include the keyword broadcast This keyword ensures that IGRP or other routing protocol updates are transported over the X25 network to all remote locations defined in the X25 map statements The remaining issues that we shall consider can degrade performance, or in severe cases, deny connectivity altogether over an X25 network The show interface serial command output for an interface with X25 encapsulation (as illustrated in Chap 6), lists frame reject (REJ), Receiver Not Ready (RNR), Frame Error (FRMR), line disconnects (DISC) and protocol restart (RESTART) values that should all be low, by which I mean less than 05 percent of the number of information frames (IFRAME) If any of these values is greater than this 05 percent number, there is a problem either at the Physical level with the hardware and leased lines, or there is a configuration mismatch With X25 connections, you need to be concerned about matching the configuration of many variables for the connected devices at both the LAPB and X25 level to ensure optimum communication Table 82 lists the ID of the variable as reported in show interface serial and show x25 vc commands, a description of this variable, and the configuration command to change the variable Table 82: LAPB and X25 Configuration Variables:.

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The challenge for an RDBMS in the cloud is scaling. Applications having a fixed number of users and workload requiring an RDBMS won t have any problems. Most cloud providers have an RDBMS offering for these cases. But when applications are launched in environments that have massive workloads, such as web services, their scalability requirements can change quickly and grow large. The first scenario can be difficult to manage if you have a relational database sitting on a single in-house server. For example, if your load triples overnight, how quickly can you upgrade your hardware The second scenario can be too difficult to manage with a relational database, because it becomes a bottleneck choking the application s ability to scale. We ll cover solutions to this in depth in chapter 5. As you ve already learned, one of the core benefits of the cloud is the ability to quickly (or automatically, as we ll show) add more servers to an application as its load increases, thereby scaling it to heavier workloads. But it s hard to expand an RDBMS this way. You have to either replicate data across the new servers or partition between them. In either case, adding a machine requires data to be copied or moved to the new server. This data shipping is a time-consuming and expensive process, so databases are unable to be dynamically and efficiently provisioned on demand. A big challenge with RDBMS partitioning or replicating is maintaining referential integrity. Referential integrity requires that every value of one attribute (column) of a relation (table) exist as a value of another attribute in a different (or the same) relation

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This program creates three similar but different functions called abs( ), each of which returns the absolute value of its argument The compiler knows which function to call in each situation because of the type of the argument The value of overloaded functions is that they allow related sets of functions to be accessed with a common name Thus, the name abs( ) represents the general action that is being performed It is left to the compiler to choose the right specific method for a particular circumstance You need only remember the general action being performed Due to polymorphism, three things to remember have been reduced to one This example is fairly trivial, but if you expand the concept, you can see how polymorphism can help you manage very complex programs In general, to overload a function, simply declare different versions of it The compiler takes care of the rest You must observe one important restriction when overloading a function: the type and/or number of the parameters of each overloaded function must differ It is not sufficient for two functions to differ only in their return types They must differ in the types or number of their parameters (Return types do not provide sufficient information in all cases for the compiler to decide which function to use) Of course, overloaded functions may differ in their return types, too

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Here is another example that uses overloaded functions:

#include <iostream> #include <cstdio> #include <cstring> using namespace std; void stradd(char *s1, char *s2); void stradd(char *s1, int i); int main() { char str[80]; strcpy(str, "Hello "); stradd(str, "there"); cout << str << "\n"; stradd(str, 100); cout << str << "\n"; return 0; } // concatenate two strings void stradd(char *s1, char *s2) { strcat(s1, s2); } // concatenate a string with a "stringized" integer void stradd(char *s1, int i) { char temp[80]; sprintf(temp, "%d", i); strcat(s1, temp); }

In this program, the function stradd( ) is overloaded One version concatenates two strings (just like strcat( ) does) The other version "stringizes" an integer and then appends that to a string Here, overloading is used to create one interface that appends either a string or an integer to another string

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