A novel blockchain enabled resource allocation and task offloading strategy in cloud computing environment

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 offloadi...

Full description

Saved in:
Bibliographic Details
Published in:Automatika 2024-07, Vol.65 (3), p.973-982
Main Authors: Senthilkumar, G., Madhusudhan, K. N., Jeyasheela, Y., Ajitha, P.
Format: Article
Language:English
Subjects:
Algorithms
Big Data
Block-chain
Blockchain
Cloud computing
cloud computing and joint task offloading
Collaboration
Computation offloading
Computer science
Data processing
Edge computing
Energy consumption
Engineering
Internet of Things
IoT
Privacy
Resource allocation
Sensors
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary: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.
ISSN:0005-1144
1848-3380
DOI:10.1080/00051144.2024.2314906