| dc.description.abstract | A job-parallel grid system considers each program to be executed as a job,and looks for available computing resources for the job. The major advantages of a job-parallel grid system are: (1) job execution can be easily handled by users, and (2) executable files can be submitted to the system without program re-engineering. The disadvantage is that its programmability is not good enough to support advanced communication primitives. On the contrary, a worldwide computing grid system utilizes the power of the internet and the technology of virtual machines to integrate heterogeneous computing resources as a whole. It provides high-level communication primitives for better programmability, supports numerous coordination approaches for distributed computing, and enables dynamic system reconfiguration for dynamic load-balancing.
In this paper, we suggest a novel, dynamic worldwide computing platform which operates on a task-parallel computing system. The proposed platform uses Condor, a task-parallel computing system, as its fundamental infrastructure, and it submits the virtual machines of SALSA, which is a worldwide computing system, along with the SALSA applications to the Condor system for execution. The proposed platform will be more flexible, more manageable, and runs as a complete worldwide computing platform because it is actually a system of two faces. To construct the proposed platform, we will use Condor to build a Condor pool (a set of computing resources) first.Consequently, we will devise a mechanism to detect and manage virtual machines on the Condor Pool and SALSA applications on virtual machines. Then we will implement necessary interface to shorten the gap between the users and our system. Our goal is to integrate the advantages of job-parallel computing and worldwide computing, develop one new grid computing platform.
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