التفاصيل البيبلوغرافية
| العنوان: |
Secure data transfer aware grouping technique for cloud‐assisted Internet of things applications. |
| المؤلفون: |
Raheema, Alaa Q., Tarish, Hiba A. |
| المصدر: |
International Journal of Communication Systems; 1/10/2023, Vol. 36 Issue 1, p1-12, 12p |
| مصطلحات موضوعية: |
INTERNET of things, DISTRIBUTED computing, COMPUTER network security, REDUNDANCY in engineering, WAVELET transforms, ACQUISITION of data, PRODUCTION scheduling, WORKFLOW |
| مستخلص: |
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. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
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