Original scientific paper
https://doi.org/10.1080/00051144.2024.2314906
A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment
G. Senthilkumar
; Dept. of Computer Science and Engineering, Panimalar Engineering College, Chennai, India
*
K. N. Madhusudhan
; Department of Electronics and Communication Engineering, B.M.S. College of Engineering, Bangalore, India
Y. Jeyasheela
; Dept. of IT, NICHE, Thuckalay, India
P. Ajitha
; Department of IT, School of Computing, Sathyabama Institute of Science and Technology, Chennai, India
* Corresponding author.
Abstract
Large amounts of processing resources are required for the sensed raw big data processing
during the data generation process. Furthermore, as sensed data are typically privacy sensitive,
blockchain technology can be used to ensure the privacy concerns. This study examines a multiuser mobile offloading network that consists of a cloud server located remotely and an edge
node. We formulate the offloading problem as the joint optimization of task offloading decision
making of all users, the computation resource allocation among the edge executing applications, and the radio resource assignment among all the remote-processing applications. The goal
is to minimize the maximum weighted cost of all users. When compared to other benchmark
approaches, the simulation results show that the proposed algorithm achieves optimal results
in terms of both energy consumption and delay as a result of collaboration. Finally the resource
allocation and optimal offloading strategy with 93% efficiency is obtained.
Keywords
Block-chain; IoT; resource allocation; cloud computing and joint task offloading
Hrčak ID:
326211
URI
Publication date:
12.3.2024.
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