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Agent-based cloud workflow execution

机译:基于代理的云工作流程执行

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摘要

Cloud computing offers an economical and feasible solution for scientific workflow applications requiring large amounts of computational resources and expensive hardware. Supporting Cloud workflow execution involves: (i) allocating and composing a collection of Cloud resources, and (ii) coordinating distributed and self-interested participants. The contributions of this research are: (i) proposing an agent-based approach for supporting workflow execution in one or multiple Clouds, (ii) defining Petri-net based methodologies to design workflows and Cloud resources that sustain concurrent and parallel management of workflows, (iii) implementing an agent-based testbed to simulate distributed workflow execution, and (iv) providing empirical evidence to demonstrate the effectiveness and efficiency of agent-based Cloud workflow execution. The agents are endowed with distributed algorithms, e.g., contract net protocol, to allocate and compose Cloud resources based on workflow requirements. Simulation results demonstrated that: (i) Agents effectively executed (with a 100% success rate) workflows autonomously, even when dealing with concurrent workflow executions, (ii) task parallelization was efficiently achieved in randomly created workflows with different levels of parallelism and ordering constraints, (iii) workflow execution was efficiently achieved since the makespan and number of messages exchanged increased linearly with the number of tasks.
机译:云计算为需要大量计算资源和昂贵硬件的科学工作流应用程序提供了一种经济可行的解决方案。支持Cloud工作流程执行包括:(i)分配和组成一组Cloud资源,以及(ii)协调分布式和自私的参与者。这项研究的贡献是:(i)提出一种基于代理的方法来支持一个或多个Cloud中的工作流执行;(ii)定义基于Petri-net的方法来设计工作流和Cloud资源,以维持对工作流的并发和并行管理; (iii)实施基于代理的测试平台以模拟分布式工作流执行,并且(iv)提供经验证据以证明基于代理的Cloud工作流执行的有效性和效率。代理具有分布式算法(例如合同网络协议),可以根据工作流要求分配和组合Cloud资源。仿真结果表明:(i)代理即使在处理并发工作流执行时也能自动有效地执行工作流(成功率为100%),(ii)在具有不同并行度和排序约束的随机创建的工作流中有效地实现了任务并行化,(iii)有效地实现了工作流执行,因为交换的消息的有效期和数量随任务数量线性增加。

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