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single platform, this might not seem very efficient For commercial software developers, however, portability amounts to big cost and time savings, as software can be written for a single environment: the Java platform Software written for Java can then be executed on any CPU type and operating system that supports Java, without the need to modify and convert source code (a process known as porting) Whether a programmer is writing for one operating system or a hundred, the amount of work required is the same For networking applications, this is an attractive feature Though C++ networking software can be written for both Unix and Wintel systems, networking system calls are vastly different (even between Unix variants) Java provides a standard interface to sockets that is operating system neutral Of course, this portability comes at a cost Java source code is compiled into bytecode, which is executed by the JVM This means that Java code does not run as fast as native code compiled to machine language instructions While some attempts have been made to increase the performance of Java software, such as just-in-time (JIT) compilers that convert Java bytecode to native code, developers and users will find that performance is not as fast as comparable C++ code, and that a greater amount of memory is consumed There are also, of course, operating-system-specific differences between Java applications A Macintosh applet or application will have a different GUI than that of a Windows or Unix system Glitches in initial releases caused problems when running software on different platforms due to defects in early JVM implementations, but for the most part, the promise of Java portability remains strong 2225 Multi-threaded Programming Programmers working in languages such as C or PERL may have come across the concept of multiple processes In operating systems such as Unix, processes are used quite heavily by software A process can split itself into many parts, which execute concurrently, by using the fork() command Of course, this involves extra overhead, as the memory for application code and variables is duplicated among each process A much better alternative is multi-threaded programming A multi-threaded language supports concurrent processing, but with shared memory for application code and data This allows threads to conserve memory and interact with each other to work collaboratively if required The importance of a multi-threaded language for network programming cannot be overstated Though it is possible to write trivial client and server applications without using multiple threads of execution, even a moderately complex server will typically use the technique of multi-threading Having this support within Java is useful, and makes it an attractive choice for almost any type of programming Other languages, too, have multi-threaded support (often in the form of an add-on API or operating system calls), but Java has been designed from the ground up to support such programming, and provides language keywords to simplify writing thread-safe code 2226 Security In a networked world, security is an extremely important issue for software developers After all, systems connected to a public network are far more vulnerable to attack than a system connected to a closed private network When systems contain sensitive data, they are prime targets for attacks, but even systems with little or no useful data can be compromised and used to hijack other systems Because of such risks, developers must take the issue of security very seriously Of course, while many developers write their own security mechanisms, it is often useful if a language enforces some form of security of its own This can save developers both time and effort, and it is reassuring to know that users will have an equitable level of security installed by default Java is often billed as a "secure" language, and while it is impossible for a language to guarantee absolute security (much of this must be the responsibility of individual programmers, and the.

how to write pdf file in asp.net c#

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Figure 27 Communication without (left) and with (right) support for overlapping communication and computation Although UE 0 in the computation on the right still has some idle time waiting for the reply from UE 1, the idle time is reduced and the computation requires less total time because of UE 1 's earlier start

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implementers of the JVM), the Java security model makes it an attractive choice for network developers In an ideal world, Java code could be implicitly trusted to execute without causing damage or a security breach In the real world, Java uses the "sandbox" approach, wherein untrusted code, which includes classes downloaded over a network within a Web browser, is placed within the sandbox and required to meet certain expectations In addition, the new Java 2 security model makes it possible to sandbox other classes, whether downloaded over the network or loaded locally (such as in an application) Using default settings, however, only applet code is placed in the sandbox When a Java class is placed in the sandbox, it must "play fairly," and it finds its actions severely restricted Prior to the Java 2 security model, digitally signed classes, or classes loaded from the user's hard drive, such as a stand-alone application, did not need to be placed in the sandbox and had free reign over the JVM With the introduction of the Java 2 security model, however, it is possible to change almost any aspect of the security settings, giving greater or lesser privileges to classes running inside and outside of the browser During a browser session, applets are faced with several significant limitations

how to write pdf file in asp.net c#

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Another technique used on many parallel computers is to assign multiple UEs to each PE, so that when one UE is waiting for communication, it will be possible to context switch to another UE and keep the processor busy This is an example of latency hiding It is increasingly being used on modern high performance computing systems, the most famous example being the MTA system from Cray Research [ACC 90 + ]

It is probably obvious that each task item needs to be stored in the databaseThe more difficult aspect of this, however, is storing the proper orderThere are multiple ways to accomplish that goal, but most of them are difficult to update consistently Remember that in SimpleDB, the item is the unit of consistencyAny time you call PutAttributes, those values are applied atomicallyThis is not the case, however, when you update multiple items at onceAs a result, when you need to keep multiple chunks of data in sync with each other, it leads you toward putting those chunks into the same item In this case, the chunks of data are the sequence of itemsWhen the order of tasks in the list is changed, you want that to be reflected consistentlyYou do not want a user to move an item and see it disappear from the old location but not show up at the new location for a while because of eventual consistency In keeping with this idea, the data model for the task list is as follows Each task is stored in a separate itemThese items are lightweight, consisting of a unique ID and the text of the task It is necessary to put each task in its own item to accommodate tasks with the same text Because the text does not uniquely identify each task, another identifier is needed and an item is the logical choice It is possible to store the tasks as individual attributes of a larger item; however, space in an item is limited It would be easy to run out of space in an item for all the tasks In addition, it becomes awkward to try to store both a unique ID and the text in a name/value attribute pairYou end up with an item filled with unique attribute names.

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12 Oct 2018 ... In this article, we are going to learn how to generate PDF file using C# .

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