Istabraq M. Al-Joboury; Emad H. Al-Hemiary
Abstract
The Internet of Things (IoT) becomes the future of a global data field in which the embedded devices communicate with each other, exchange data and making decisions through the Internet. IoT could improve the quality of life in smart cities, but a massive amount of data from different smart devices could ...
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The Internet of Things (IoT) becomes the future of a global data field in which the embedded devices communicate with each other, exchange data and making decisions through the Internet. IoT could improve the quality of life in smart cities, but a massive amount of data from different smart devices could slow down or crash database systems. In addition, IoT data transfer to Cloud for monitoring information and generating feedback that will lead to high delay in infrastructure level. Fog Computing can help by offering services closer to edge devices. In this paper, we propose an efficient system architecture to mitigate the problem of delay. We provide performance analysis like response time, throughput and packet loss for MQTT (Message Queue Telemetry Transport) and HTTP (Hyper Text Transfer Protocol) protocols based on Cloud or Fog servers with large volume of data from emulated traffic generator working alongside one real sensor . We implement both protocols in the same architecture, with low cost embedded devices to local and Cloud servers with different platforms. The results show that HTTP response time is 12.1 and 4.76 times higher than MQTT Fog and Cloud based located in the same geographical area of the sensors respectively. The worst case in performance is observed when the Cloud is public and outside the country region. The results obtained for throughput shows that MQTT has the capability to carry the data with available bandwidth and lowest percentage of packet loss. We also prove that the proposed Fog architecture is an efficient way to reduce latency and enhance performance in Cloud based IoT.
Oula L. Abdulsattar; Emad H. Al-Hemiary
Abstract
In this paper, we implement a Virtualized Network Management Laboratory named (VNML) linked to college campus network for educational purposes. This laboratory is created using Virtualbox virtualizer and GNS3 on Linux UBUNTU single HP DL380 G7 server platform. A total of 35 virtual devices (Routers, ...
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In this paper, we implement a Virtualized Network Management Laboratory named (VNML) linked to college campus network for educational purposes. This laboratory is created using Virtualbox virtualizer and GNS3 on Linux UBUNTU single HP DL380 G7 server platform. A total of 35 virtual devices (Routers, Switches and Virtual Machines) are created and distributed over virtualized campus network with seven network management tools configured and run. The proposed laboratory is aimed to overcome the limitations of network hardware existence in any educational facility teach network management subject in their curriculum. The other advantages include ease of managing the laboratory and overrides physical location setup within the same geographical area.