A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment

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Grid computing has gained a wide interest from the research community over the past one and a half decade. The immense effort has resulted in mature tools and technologies for grid computing. The utilization of experience and tools of grid computing in the next generation of distributed systems (e.g. cloud com-puting) is a logical step. However, many problems that come along with grid computing do limit such an effort. Among these problems is the sophistication of each production grid to a specific task type, size and dependency. In other words, grid computing in practice up to the moment can be described as task monolithic in terms of task scope. The approach to tackle this problem in this paper can be viewed as virtualizing the tasks to the middleware in analogy to how resources are virtualized, automatically provisioned and abstracted in current distributed systems trends. The task virtualization in this case refers to the ability of the system to host variant tasks through a generic transparent interface. This paper proposes a light-weight framework using various combined open-source grid tools to establish a grid-based system capable of executing tasks of different types, sizes and dependencies. From the middleware's perspective, designing and implementing such a model is challenged by 1) The need of a unified model for defining and representing the tasks, and 2) A tasks dispatching and execution manager. Experiments for using the framework in an optimization problem solving environment is illustrated. Performance results are presented showing the functional efficiency of the framework.
2010-07-05

A Light Framework for the Unified Representation and Execution of Variant Tasks in a Grid Based Environment

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