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The Cluster Computing Virtualization In Windows...

Teddy Rogers

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Teddy Rogers
Nowadays the virtualization technique presents several applications to accelerate the avaluation of code without the target machine. For instance, it is possible to execute a Windows executable file on a Linux system by dealing with the import table and simulating the Windows components, for instance WineHQ project [1]. In some cases, the x86 architecture instructions perform on Alpha architecture by emulating the x-86 instructions, for example Bochs Project [2]. The main purpose of this paper is not total virtualization, it explains a simple method that could be used as the base structure to establish a Message Passing Interface (MPI) in Visual C++. It shows how it is possible to load multi-executable files in a running process in extra threads and allow them to run inside separate threads. They will communicate with each other with two functions according to the MPI protocol. This approach is currently represented for Portable Executable (PE) files. This technique can also be implemented for the Executable and Linkable format (ELF) files of Linux systems.

Tracing cluster computing codes encounters several problems. Firstly, the financial problem of purchasing an enormous number of machines. Furthermore, the difficulty of tracing the code in distributed systems. We can also use a Virtual Server and Virtual Machines. The Virtual Server will emulate the network communication, and the Virtual Machines will emulate the System and the Machine. However, this approach has some problems in addition to the delay of emulating the codes and the network. This was the reason that we developed programs to virtualize cluster programming according to the MPI protocol. For instance, MPICH2 [3] is a well-known program from this branch. If we look around, you will see that the main intention of this kind of programs was to run on UNIX systems. Of course, some of them have Windows versions. Nonetheless, they have not yet been applied in Windows systems as well as their applications on Linux systems. For they use some threading or emulation approach to porting the UNIX version’s source. Because of all of these, the author attempts to represent a simple technique to implement the cluster computing virtualization in Windows systems. He claims this method is much faster and more comfortable than previous methods. It uses a Virtual C++ compiler that accelerates the evolution of MPI codes on Windows systems.



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