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In discrete event simulations, a similar problem can occur because of the semantics of the application domain An event arrives at a station (task) along with a simulation time when it should be scheduled An event can arrive at a station before other events with earlier simulation times The first step is to determine whether, in a particular situation, out of order events can be a problem There will be no problem if the "event" path is linear so that no out of order events will occur, or if, according to the application semantics, out of order events do not matter If out of order events may be a problem, then either an optimistic or pessimistic approach can be chosen An optimistic approach requires the ability to roll back the effects of events that are mistakenly executed (including the effects of any new events that have been created by the out of order execution) In the area of distributed simulation, this approach is called time warp [Jef85] Optimistic approaches are usually not feasible if an event causes interaction with the outside world Pessimistic approaches ensure that the events are always executed in order at the expense of increased latency and communication overhead Pessimistic approaches do not execute events until it can be guaranteed "safe" to do so In the figure, for example, task 3 cannot process an event from task 2 until it "knows" that no earlier event will arrive from task 1 and vice versa Providing task 3 with that knowledge may require introducing null events that contain no information useful for anything except the event ordering Many implementations of pessimistic approaches are based on time stamps that are consistent with the causality in the system [Lam78] Much research and development effort has gone into frameworks that take care of the details of event ordering in discrete event simulation for both optimistic [RMC 98 + ] and pessimistic approaches [CLL 99 + ] Similarly, middleware is available that handles event ordering problems in process groups caused by the communication system An example is the Ensemble system developed at Cornell [vRBH 98 + ].

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how to write pdf file in asp.net c#

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implementation provided by the current socket factory Developers should not normally use this method, as it does not allow a hostname or port to be specified Socket (InetAddress address int port) throws javaioIOException, javalangSecurityException creates a socket connected to the specified IP address and port If a connection cannot be established, or if connecting to that host violates a security restriction (such as when an applet tries to connect to a machine other than the machine from which it was loaded), an exception is thrown

It is possible for systems using this pattern to deadlock at the application level for some reason the system arrives in a state where no task can proceed without first receiving an event from another task that will never arrive This can happen because of a programming error; in the case of a simulation, it

Socket (InetAddress address, int port, InetAddress localAddress int localPort) throws javaioIOException, javalangSecurityException creates a socket connected to the specified

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how to write pdf file in asp.net c#

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address and port, and is bound to the specified local address and local port By default, a free port is used, but this method allows you to specify a specific port number, as well as a specific address, in the case of multihomed hosts (ie, a machine where the localhost is known by two or more IP addresses) protected Socket (SocketImpl implementation) creates an unconnected socket using the specified socket implementation Developers should not normally use this method, as it does not allow a hostname or port to be specified Socket (String host, int port) throws

can also be caused by problems in the model that is being simulated In the latter case, the developer must rethink the solution If pessimistic techniques are used to control the order in which events are processed, then deadlocks can occur when an event is available and actually could be processed, but is not processed because the event is not yet known to be safe The deadlock can be broken by exchanging enough information that the event can be safely processed This is a very significant problem as the overhead of dealing with deadlocks can cancel the benefits of parallelism and make the parallel algorithms slower than a sequential simulation Approaches to dealing with this type of deadlock range from sending frequent enough "null messages" to avoid deadlocks altogether (at the cost of many extra messages) to using deadlock detection schemes to detect the presence of a deadlock and then resolve it (at the cost of possible significant idle time before the deadlock is detected and resolved) The approach of choice will depend on the frequency of deadlock A middle ground solution is to use timeouts instead of accurate deadlock detection, and is often the best approach

how to write pdf file in asp.net c#

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how to write pdf file in asp.net c#

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how to write pdf file in asp.net c#

how to write pdf file in asp.net c#