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Optimization of Performance and Scalability Measures across Cloud Based IoT Applications with Efficient Scheduling Approach

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Abstract

In recent decades, the technique of the Internet of Things (IoT) and cloud computing are widely integrated together. The resource-limited nature of IoT devices creates a requirement for middleware to manage a high volume of data in real-time. In such types of systems, the capability to add or remove services based on the application requirement with standard performance measures remains to be a major concern. Against this background, this article presents ant colony-based optimization techniques with MARKOV chains for efficient resource scheduling across cloud-based IoT systems with improved performance and Quality of Service (QoS) measures. It provides a proactive elasticity model for solving scalability issues across cloud-based IoT systems. The proposed work provides an efficient task scheduling algorithm for infinite time, Infrastructure as a Service (IaaS). It makes use of ant colony optimization techniques with continuous parameter MARKOV chains. Each successive path found by ants forms a MARKOV chain and the chain with the highest pheromone vector forms the optimal solution. The major contribution of the work is summarized as follows. The first is to find the optimal solution for task scheduling in IoT based cloud systems with continuous-time parameters. Next is to enhance the QoS with improved availability and reliability. Based on the proposed model, a prototype is developed and it is assessed with various amount of work patterns against two concurrent models. The results are promising in favour of the proposed system, with improved performance measures in terms of response time and request throughput.

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Bharath Institute of Higher Education and Research, Chennai, India

    Nithiyanandam Natarajan

  2. Department of Computer Science Engineering, Sanjivani College of Engineering, Kopargaon, India

    Rajesh Manoharan & Vengatesan Krishnasamy

  3. School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

    Sitharthan Ramachandran

  4. Functional Materials and Microsystems Research Group, RMIT University, Melbourne, VIC, 3001, Australia

    Shanmuga Sundar Dhanabalan

  5. School of Electronics Engineering, Vellore Institute of Technology, Vellore, India

    Madurakavi Karthikeyan

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  1. Nithiyanandam Natarajan
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  2. Rajesh Manoharan
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  4. Shanmuga Sundar Dhanabalan
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  5. Vengatesan Krishnasamy
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  6. Madurakavi Karthikeyan
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Correspondence to Sitharthan Ramachandran.

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Nithiyanandam, N., Rajesh, M., Sitharthan, R. et al. Optimization of Performance and Scalability Measures across Cloud Based IoT Applications with Efficient Scheduling Approach. Int J Wireless Inf Networks 29, 442–453 (2022). https://doi.org/10.1007/s10776-022-00568-5

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  • DOI: https://doi.org/10.1007/s10776-022-00568-5

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