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An Efficient Resource Allocation Mechanism for Time-Sensitive Data in Dew Computing

机译:露水计算中的时间敏感数据的有效资源分配机制

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In this fast-growing world, the faster access of data is getting substantial day by day. Nowadays, the users wish autonomy from handling data locally and poverties that the data must become accessible anytime and everywhere. Dew computing composed of cloud and fog makes a cloud-dew architecture which can resolve the disputes. In dew computing, the provision of resources plays a crucial role in determining the resource utilization, performance, and quality of service of the users. The proper allocation of virtual machines (VMs) for a particular time-sensitive task in dew computing is also one of the significant research challenges. We have proposed an efficient resource allocation mechanism for allocating time-sensitive tasks using the proper allocation of VMs in dew computing and also shown the overall task allocation hierarchy between dew-fog-cloud computing in this paper. Our simulation outcomes illustrate that the newly proposed resource allocation mechanisms for time-sensitive data outperform the conventional cloud-fog mechanisms in the iFogSim simulator in terms of network usages, average latency control loop and execution time.
机译:在这个快速增长的世界中,数据的速度更快地获得了最佳的一天。如今,用户希望自主权在本地处理数据,并且数据必须随时随地访问数据。由云和雾组成的露水计算使得云露架可以解决纠纷。在露天计算中,提供资源在确定用户的资源利用率,性能和服务质量方面发挥着至关重要的作用。露水计算中特定时敏任务的虚拟机(VMS)的适当分配也是重要的研究挑战之一。我们提出了一种有效的资源分配机制,用于使用露水计算中的适当分配来分配时间敏感任务,并在本文中显示了露水云计算之间的整体任务分配层次结构。我们的模拟结果说明了在网络使用,平均延迟控制循环和执行时间方面,新提出的资源分配机制越优于IFOGSIM模拟器中的传统云模拟机制。

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