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Although the instance variable i in B hides the i in A, base allows access to the i defined in the base class. Hidden methods can also be called through the use of base. For example, in the following code, class B inherits class A, and both A and B declare a method called Show( ). Inside, B s Show( ), the version of Show( ) defined by A is called through the use of base.
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You can insert a string into another using the Insert( ) method, shown here: public string Insert(int start, string str) Here, str is inserted into the invoking string at the index specified by start. The resulting string is returned. You can remove a portion of a string using Remove( ), shown next: public string Remove(int start) public string Remove(int start, int count) The first form begins at the index specified by start and removes all remaining characters in the string. The second form begins at count and removes count number of characters. In both cases, the resulting string is returned. You can replace a portion of a string by using Replace( ). It has these forms: public string Replace(char ch1, char ch2) public string Replace(string str1, string str2) The first form replaces all occurrences of ch1 in the invoking string with ch2. The second form replaces all occurrences of str1 in the invoking string with str2. In both cases, the resulting string is returned.
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5. If tests have been performed for two years or more, determine whether there s a trend showing continuous improvement in response and recovery procedures. 6. If the organization performs parallel tests, determine whether tests are designed in a way that effectively determines the actual readiness of standby systems. Also determine whether parallel tests measure the capacity of standby systems or merely their ability to process correctly but at a lower level of performance. 7. Determine whether any tests included the retrieval of backup data from off-site storage or e-vaulting facilities.
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The kernel memory bottlenecks on the Windows 2000 Server and Windows Server 2003 32-bit platforms do not exist on Presentation Server x64 and Windows Server 2003 x64 Edition. The increased kernel memory capacity of 64-bit Windows leads to a 203% scalability increase over Presentation Server 4.0 on Windows 2000 Server with the same hardware and applications. If upgrading from Windows 2000 Server to Windows Server 2003 x64 as part of a Presentation Server deployment or upgrade, organizations can realize over three times more users per server.
Citrix s IMA contains four components: the IMA data store, zone data collectors, local host caches, and the IMA protocol. The IMA data store is responsible for keeping information about generally static farm settings, such as published applications, load-balancing parameters, printer options, and security. Farm information that changes regularly, such as the number of connected users or which member servers are currently online, is maintained in an in-memory database on each data collector. Each zone in a farm has its own zone data collector (ZDC), which is responsible for maintaining the operating information for that zone. Data collectors gather their information through communication with the servers in their zone, and then communicate their zone s information to the data collectors in the other zones in the farm. Each server maintains a local database containing a subset of the information in the data store, this local database is referred to as the local host cache. The IMA protocol is responsible for communications between Presentation Servers, and to communicate between servers and the Presentation Server Console.
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When to Use DAYS360 in a Model DAYS360 is useful in calculating a portion of the year. Let s say that a transaction happens on June 14, and we just want to get a value for the stub portion, or the portion of the year remaining after the deal. Let s assume a December 31 year-end: = DAYS360 6=14=2003 , 12=31=2003 =360 which returns 197/360, or 0.55. Solving a Problem with DAYS360 In some situations, DAYS360 does not give you a 30-day month. Take the case where cell A1 has the date of 12/31/02 (the end of December) and cell A2 has the date 2/28/03 (the end of February in a non-leap year): = DAYS360 A1,A2 which returns 58 days.
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// Demonstrate using. #include <iostream> using namespace std; namespace CounterNameSpace { int upperbound; int lowerbound; class counter { int count; public: counter(int n) { if(n <= upperbound) count = n; else count = upperbound; } void reset(int n) { if(n <= upperbound) count = n; } int run() { if(count > lowerbound) return count--; else return lowerbound; } }; } int main() { // use only upperbound from CounterNameSpace using CounterNameSpace::upperbound; // now, no qualification needed to set upperbound upperbound = 100; // qualification still needed for lowerbound, etc. CounterNameSpace::lowerbound = 0;
One of the most important applications of MPLS is in the area of traffic engineering, which can be summarized as the modeling, characterization, and control of traffic to meet specified performance objectives. As described in RFC 2702, the performance objectives in question may be traffic oriented or resource oriented. The former deals with QoS and includes aspects such as minimizing delay, jitter, and packet loss. The latter deals with optimum usage of network resources, particularly network bandwidth. These two objectives are not necessarily mutually exclusive. For example, congestion avoidance is a major goal related to both network resource objectives and QoS objectives. From a resource point of view, we want to avoid situations where one part of the network is congested while another part of the network is underutilized, particularly if the underutilized resources could be used to carry some of the traffic that is experiencing congestion. Equally, from a QoS point of view, we want to allocate traffic streams to available resources to ensure that those streams do not experience congestion and the consequent packet loss and delay. Congestion is primarily caused in two ways. The first is simply due to a lack of sufficient resources in the network to accommodate the offered load. The second is the steering of traffic towards resources that are already loaded, while other resources remain underutilized. The expansion of capacity or the application of congestion control techniques such as flow control can correct the first situation. The second situation can be addressed by good traffic engineering, that is, ensuring that traffic is directed through the network in a manner that is consistent with the needs of that traffic. For example, we might want to direct VoIP traffic along the shortest path in order to minimize latency. Traffic that is less delay sensitive could be sent along a less-direct path. The current situation with IP routing and resource allocation is that the routing protocols are not well equipped to deal with traffic-engineering issues. For example, a protocol such as Open Shortest Path First (OSPF) can actually promote congestion because it tends to force traffic down the shortest route, even though other acceptable routes might be less loaded. In many network deployments, the solution to this problem has been to use traffic-engineering functions at layer 2 in the network. ATM, for example, enables virtual circuits to be easily rerouted in cases of congestion. MPLS also enables traffic-engineering functions. Traffic Trunks RFC 2702 introduces the concept of a traffic trunk, which can be considered to be a set of flows that share specific attributes.
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