Evaluation of Performance of Cloud of Things (CoT) for Transferring Multimedia and Bulk-set Data

V. B.
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引用次数: 1

Abstract

As the number of context-aware and unique data extracting and computing has grown leaps and bounds, paving way to their application in many platforms, Internet of Things (IoT) has gained a lot of importance in recent years. Using IoT, it is possible to connect any number of objects and in any context, giving rise to a diverse range of services. Hence power management, data storage, service discovery, service management, service creation and resource management need a more sophisticated mechanism and a better infrastructure. However, a single IoT that is power-constrained will not be able to tackle all the data that is generated. Hence cloud computing plays a crucial role by integrating with the IoT in such a way that the future internet and envisioned IoT is achievable. There are a number of challenges involved of which data trimming is common challenge. Due to unnecessary communication, the data this sent to the cloud may be interrupted. Hence to prevent this, data is initially preprocessed following which it is trimmed and then transferred to the cloud. This aspect of data processing can be carried out through Fog Computing or Smart Network that serves as a smart gateway. In this paper, we have introduced a novel concept Fog computing as the smart gateway. The results have been analysed and tested with respect to bulk-data synchronizstion Delay, bulk-data upload delay, jitter, synchronization delay and upload delay.
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物云(CoT)传输多媒体和大容量数据的性能评价
随着上下文感知和独特数据提取和计算的数量突飞猛进,为其在许多平台上的应用铺平了道路,物联网(IoT)近年来变得非常重要。使用物联网,可以在任何环境中连接任意数量的对象,从而产生各种各样的服务。因此,电源管理、数据存储、服务发现、服务管理、服务创建和资源管理需要更复杂的机制和更好的基础设施。然而,单个受功率限制的物联网将无法处理生成的所有数据。因此,云计算通过与物联网的集成发挥着至关重要的作用,从而实现未来的互联网和设想的物联网。涉及到许多挑战,其中数据修剪是常见的挑战。由于不必要的通信,可能会导致发送到云的数据中断。因此,为了防止这种情况,首先对数据进行预处理,然后对其进行修剪,然后将其传输到云端。这方面的数据处理可以通过作为智能网关的雾计算或智能网络来完成。在本文中,我们引入了一个新的概念雾计算作为智能网关。对大数据同步延迟、大数据上传延迟、抖动、同步延迟和上传延迟进行了分析和测试。
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