IoT-F2CDM-LB: IoT Based Fog-to-Cloud and Data-in-Motion Architectures with Load Balancing

Journal Title: EAI Endorsed Transactions on Internet of Things - Year 2018, Vol 4, Issue 13

Abstract

The work in this paper tries to enhance the performance of IoT by modifying the Cloud based architecture in terms of storage, processing, and Load Balancing (LB). The assumption is as follows: In a single Fog server, high traffic coming from Things may cause packet loss which in turn affect the overall IoT performance. To overcome such a situation, LB on Fog layer is proposed and implemented practically using virtualization technology. The proposed IoT based Fog-To-Cloud and Data-inMotion with LB (IoT-F2CDM-LB) architecture consists of two load balancers; HAProxy and Server Load Balancing (SLB), are used to distribute messages from Things to four virtualized Fog servers according to Least Connection technique. The implementation is carried out using VirtualBox and GNS3. Message Queue Telemetry Transport (MQTT) protocol is used to transfer messages between layers. Both load balancers result in packet loss reduction by 50%, lower response time and higher throughput.

Authors and Affiliations

Istabraq M. Al-Joboury, Emad H. Al-Hemiary

Keywords

Related Articles

The DiscoDNC v2 – A Comprehensive Tool for Deterministic Network Calculus

In this paper, we present the Disco Deterministic Network Calculator v2 – our continuation in the effort to provide open-source tool support for worst-case performance analysis. The major achievement of this release is t...

Semantic Interoperable Traffic Management Framework for IoT Smart City Applications

Real-time traffic monitoring and controlling are one of the biggest problems in this present living world. So many researchers have dealt with and put their effort into this problem, as a result, several types of approac...

Algorithm and Formal Model of Recovering Network Connectivity in Battlefield Surveillance

Battlefield surveillance requires mission-critical operations and tasks which can effectively be performed using Wireless Sensor and Actor Networks (WSANs). We have used clustering approach for deployment of WSAN to mini...

Crowdsensing Solutions in Smart Cities towards a Networked Society

The goal of the paper is to give an overview of the most relevant aspects of mobile crowdsensing that are already utilized by the society. The paper focuses on best practices applied in smart cities today, how these appl...

A Survey of Internet of Things Services Provision by Telecom Operators

Telecom industry will play a vital role in delivering Internet of Things (IoT) solutions and services. Researchers trust that IoT services deployment by Telecom is inevitable during the next few years. Nowadays, digital...

Download PDF file
  • EP ID EP46607
  • DOI http://dx.doi.org/10.4108/eai.6-4-2018.155332
  • Views 281
  • Downloads 0

How To Cite

Istabraq M. Al-Joboury, Emad H. Al-Hemiary (2018). IoT-F2CDM-LB: IoT Based Fog-to-Cloud and Data-in-Motion Architectures with Load Balancing. EAI Endorsed Transactions on Internet of Things, 4(13), -. https://europub.co.uk/articles/-A-46607