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首页> 外文期刊>International Journal of Innovative Research in Science, Engineering and Technology >Truthful Dynamic Scheduling Algorithm Based on Multi objective for Multi cloud Environments
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Truthful Dynamic Scheduling Algorithm Based on Multi objective for Multi cloud Environments

机译：多云环境下基于多目标的真实动态调度算法

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摘要

Job scheduling is a complex problem for large environments like Clouds.Profit maximization for the Cloud Service Provider (CSP) is a key objective in the large-scale, heterogeneous, and multi cloud environments. In these types of environments, the service providers want to increase their profit but the customers (end-users) want to minimize the costs. Therefore the goal of selfish providers contradicts with the user’s objective. So we design a new model based on multi cloud environment. In the proposed system, we try to negotiate with the different cloud service provider’s services. In the negotiation process, we consider two main criteria: the time taken for executing the job and the cost the user has to pay for the job. Considering these two main objectives for our model, we incorporate a truthful algorithm for scheduling the job with respect to task completion time and monetary cost. The truthful algorithm uses game theory for deciding the winner. The experiments conducted using randomly generated workflows and real world workflows. We discovered that the generated solutions of the proposed mechanism are effective with multi-objective optimization.
机译：对于像Clouds这样的大型环境而言，作业调度是一个复杂的问题。在大型，异构和多云环境中，Cloud Service Provider（CSP）的利润最大化是关键目标。在这些类型的环境中，服务提供商希望增加利润，而客户（最终用户）希望将成本降至最低。因此，自私的提供者的目标与用户的目标相矛盾。因此，我们设计了基于多云环境的新模型。在建议的系统中，我们尝试与其他云服务提供商的服务进行协商。在协商过程中，我们考虑两个主要标准：执行工作所花费的时间和用户必须为工作支付的费用。考虑到我们模型的这两个主要目标，我们结合了一个真实的算法来根据任务完成时间和金钱成本来调度作业。真实算法使用博弈论来确定获胜者。使用随机生成的工作流和实际工作流进行的实验。我们发现，所提出机制的生成解决方案对于多目标优化是有效的。

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