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

机译:DataLet:一种管理网络植入环境中大量数据的方法

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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:在云计算的新时代,用户从云获得各种服务。近年来,特别是普遍存器的数据量越来越多的数据已成为一个很好的关注问题。在移动计算中,Cloudlets充当数据中心的阴影图像并提供低延迟云环境。在这项工作中,作者提出了一种称为DataLet的方法,通过利用大间歇网络的处理和存储资源来处理数据分发。在DataLet中,Cloudlets充当数据管理的中央管理器。 DataLet提供了一种强大的体系结构,它是容错的,并且还具有Cloudlet Job Scheduler。 Cloudlet基于在特定位置的用户的可用性基于用户的可用性来维护信息,并且还利用其计算资源。使用NS-3进行模拟模型,还将在不存在网络的环境中提供服务。结果表明,DataLet方法在延迟,互联网传出带宽方面具有更高的性能,用于用户设备的资源利用率。 (c)2019 Elsevier Inc.保留所有权利。

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