Abstract
Scheduling is absolutely the resource management. A group of interdependent jobs/tasks forms the workflow application and scheduling is to map the jobs/tasks on to the collection of heterogeneous resources available in a massive geographic spread. Most complicated applications consist of interdependent jobs that coordinate to solve a problem. The completion of a particular job is the criterion function essentially to meet in order to start the execution of those jobs that depend upon it [1]. This kind of workflow application may be represented in the form of a Directed Acyclic Graph (DAG). Grid Workflow is such an application and is modeled by DAG. This paper proposes a tool that generates Directed Acyclic Graph through Randomizer, which helps in solving the scheduling problem among the dependent tasks by considering the parameters, computation cost (COMPCost) of the nodes and the communication cost (COMMCost) between the nodes. This tool is developed in Java, considering it as a platform independent and web authoring application developer. The task dependencies are made random, the computation cost and communication cost are also randomly allocated by the randomizer. The output generated by the tool includes (i) a visual component of an actual DAG,(ii) a table with complete information on task, its predecessors, COMPCost, COMMCost and (iii) detailed description about the number of levels, number of tasks at each level, identification of a tasks in a level and relationship between the nodes.
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Amalarethinam, D.I.G., Muthulakshmi, P. (2012). DAGITIZER – A Tool to Generate Directed Acyclic Graph through Randomizer to Model Scheduling in Grid Computing. In: Wyld, D., Zizka, J., Nagamalai, D. (eds) Advances in Computer Science, Engineering & Applications. Advances in Intelligent Systems and Computing, vol 167. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-30111-7_93
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DOI: https://doi.org/10.1007/978-3-642-30111-7_93
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