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When these targets have been established, the project team can develop plans that include changes to technical architecture as well as business processes that will help achieve these established recovery objectives Often, project teams discover that establishing specific recovery objectives is too expensive; this requires that the business revisit and consider changing those objectives to more affordable figures Sometimes, however, the organization is able instead to develop new architectures or processes that can help lower costs overall, including the cost of achieving desired recovery objectives Once acceptable architectures and process changes have been determined, the organization sets out to make investments in these areas to bring its systems and processes closer to the recovery objectives Significant investments may take place over a period of years.



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Procedures for recovering systems and processes are also developed at this time, as well as procedures for other aspects of disaster response such as emergency communications plans and evacuation plans Some of the investment in IT system resilience may involve the establishment of an alternate processing site, where IT systems can be resumed in support of critical business processes There are several types of alternate sites, including a hot site, where IT systems are in a continual state of near-readiness and can assume production workload within an hour or two; a warm site, where IT systems are present but require several hours to a day of preparation; and a cold site, where no systems are present but must be acquired, which may require several days of preparation before those replacement systems are ready to support business processes An organization can also establish a reciprocal.





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Nov 2, 2017 · Proper example of making PDF file into ASP.NET MVC Project with proper and solid basic ...Duration: 20:35 Posted: Nov 2, 2017

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Depending on the type of application, your focus will vary between two basic performance indicators: response time and throughput When working with synchronous interactive applications, we define a maximum acceptable response time This is the maximum amount of time we are willing to wait before we get a response from the application For a batch or back-end application, we define the minimum acceptable throughput, typically as transactions per second (TPS) but this has to be based on a solid understanding of exactly how a transaction will be defined in your system Each of these metrics is inextricably linked to one another; however, we have not been able to find any mathematical or geometrical relation between them Our advice is to define your performance metrics clearly and unambiguously, and to test to well-defined requirements Not doing so is an open invitation to test and tune endlessly.

Part II:

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There are also two drop-down list boxes: Column Labels and Row Labels Dropping down either list reveals a series of options, as shown in Figure 9-7 There are two sort options at the top, and they allow you to sort either in ascending or descending order A third option, labeled More Sort Options, opens a dialog box that allows users to sort in other ways, including manually, by simply dragging and dropping the members in the preferred order The drop-down list also allows users to apply label filters and value filters to the data Label filters restrict the data based on the label that is being shown For example, Figure 9-7 shows Accessories, Bikes, Clothing, and Components for the row labels Clicking on Label Filters and choosing Begins With opens a simple dialog box that asks for a value on which to filter the data.

Appendix A:

As we will be collecting data during the performance test runs, we need to have a clear understanding of the basic statistics, so let s examine them in more detail For the purposes of this book, we define response time as the length of time a client has to wait from the moment it sends a request to the moment it receives the last byte of the response from the application The sets of data that we collect from a performance test run consist of the individual response times of every request that makes up the test script Each request in a test script is executed one after another, by each simulated user for a certain period of time Our base measurement of analysis is the arithmetic mean of the response times for all users of a particular request: the average response time (ART).

queue<int> a, b; queue<double> c, d;

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Feb 1, 2019 · Here Mudassar Ahmed Khan has explained with an example, how to upload and download PDF file from SQL Server Database in ASP.Net ...

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