Secure data transfer aware grouping technique for cloud‐assisted Internet of things applications

Abstract

Summary Task clustering process in distributed systems is used to improve the performance of executing workflow applications. In cloud‐assisted Internet of things (CIoT) framework, performing efficient task clustering is highly challenging because of the dynamic nature of cloud, availability of various billing models, and billing granularity options. This work aims at reducing the security overhead among the dependent tasks by using data transfer aware grouping technique (DTAGT), which takes into consideration the amount of data transferred among dependent tasks to obtain a cluster that reduces the security overhead in the network by optimizing the data transfer rate. Collecting the data in a CIoT environment is difficult, and the redundancy among the data from the sensors tends to decrease the lifetime of the network and also increases the latency has been resolved using proposed DTAGT. The overall objective of the proposed grouping algorithm is to reduce the total completion time and cost of executing workflow application with high reliability in CIoT platform. The proposed system is implemented, and the result analysis shows DTWCT (Dual‐tree complex wavelet transform) outperforms the other related works.

5G, IoT, and edge computing convergence—Systems, services, and security

“…Most of the scientific workflow applications consist of a large number of short runtime tasks and also involve a large amount of data transfer among the dependent tasks, and it provides an opportunity for the clustering of tasks to minimize virtual machine overhead and data transfer cost. The paper 1 by Alaa Q. Raheema and Hiba A. Tarish, entitled “Secure data transfer aware grouping technique for cloud‐ assisted Internet of things applications,” aims at reducing the security overhead among the dependent tasks by using data transfer aware grouping technique, which takes into consideration the amount of data transferred among dependent tasks to obtain a cluster that reduces the security overhead in the network by optimizing the data transfer rate. The overall objective of the proposed grouping algorithm is to reduce the total completion time and cost of executing workflow application with high reliability in CIoT platform.…”