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DATALET: An approach to manage big volume of data in cyber foraged environment

机译:DATALET:一种在网络搜寻环境中管理大量数据的方法

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In the new era of cloud computing, the users get various services from the cloud. In recent years, the increasing volume of data specially from pervasive devices has become a great matter of concern. In mobile computing, cloudlets act as a shadow image of the data centers and provide low latency cloud environment. In this work, the authors have proposed an approach called DATALET that deals with distribution of data by utilizing the processing and storage resources of big intermittent networks. In DATALET, the cloudlets act as central managers for data management. DATALET provides a robust architecture which is fault-tolerant and also has a cloudlet job scheduler. The cloudlets maintain the information based on the availability of the user at a particular location and also utilize their computational resources. The model is simulated using NS-3 and will also provide the service in an environment where the network does not exist. The results indicate that DATALET approach has higher performance in terms of latency, Internet outgoing bandwidth for the users and resource utilization of the user devices. (C) 2019 Elsevier Inc. All rights reserved.
机译:在新的云计算时代,用户可以从云中获得各种服务。近年来,特别是来自普及型设备的数据量的增长已成为人们关注的重大问题。在移动计算中,小云充当数据中心的影子图像,并提供低延迟的云环境。在这项工作中,作者提出了一种称为DATALET的方法,该方法通过利用大型间歇性网络的处理和存储资源来处理数据的分发。在DATALET中,小云充当数据管理的中央管理器。 DATALET提供了一个健壮的架构,该架构具有容错能力,并且还具有一个cloudlet作业调度程序。小云基于用户在特定位置的可用性来维护信息,并且还利用其计算资源。该模型使用NS-3进行仿真,并且还将在不存在网络的环境中提供服务。结果表明,DATALET方法在等待时间,用户的Internet出站带宽和用户设备的资源利用率方面具有更高的性能。 (C)2019 Elsevier Inc.保留所有权利。

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