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Resource scheduling of concurrency based applications in IoT based cloud environment

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Abstract

IoT presently being one of the most pertinent application domains for cloud computing. However, even though most of the traditional PaaS solutions such as Google App Engine, Microsoft Azure, Cloud Foundry enable provisioning and scheduling of IoT applications, but all of them do not support the provisioning of concurrent applications efficiently. The main reason not to support the execution of the concurrent applications is the absence of direct pipe-lining between two applications processes. There is a need to design a resource scheduling algorithm to achieve the target of the completion of the application’s execution with the external domain process. In this paper, we presented an IoT-based PaaS architecture and cuckoo search based resource scheduling algorithm for concurrent applications. The proposed approach caters the communication interface among processes by uniquely allocating network interface to a particular container. An implementation of the proposed approach is also demonstrated. The performance of the proposed algorithm is evaluated in the simulation environment. Cuckoo search based algorithm outperformed in comparison to the existed algorithms, as shown in the performance evaluation section.

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Authors and Affiliations

  1. Department of Data Science, NMIMS, Mukesh Patel School of Technology Management and Engineering, Mumbai, India

    Rajni Aron

  2. Concordia University, Montreal, Canada

    Deepak. K. Aggarwal

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  1. Rajni Aron
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  2. Deepak. K. Aggarwal
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Correspondence to Rajni Aron.

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Aron, R., Aggarwal, D.K. Resource scheduling of concurrency based applications in IoT based cloud environment. J Ambient Intell Human Comput 14, 6817–6828 (2023). https://doi.org/10.1007/s12652-021-03545-7

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