支持区块链的边缘云中基于OS-GRU和s -fuzzy的多级分散信任管理动态任务卸载

IF 3.8 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Sustainable Computing-Informatics & Systems Pub Date : 2025-03-17 DOI:10.1016/j.suscom.2025.101111

Raj Kumar Gudivaka , Dinesh Kumar Reddy Basani , Sri Harsha Grandhi , Basava Ramanjaneyulu Gudivaka , Rajya Lakshmi Gudivaka , M.M. Kamruzzaman

{"title":"支持区块链的边缘云中基于OS-GRU和s -fuzzy的多级分散信任管理动态任务卸载","authors":"Raj Kumar Gudivaka , Dinesh Kumar Reddy Basani , Sri Harsha Grandhi , Basava Ramanjaneyulu Gudivaka , Rajya Lakshmi Gudivaka , M.M. Kamruzzaman","doi":"10.1016/j.suscom.2025.101111","DOIUrl":null,"url":null,"abstract":"<div><div>Recently, the dynamic Task Offloading (TO) in the cloud computing paradigm has gained immense popularity among researchers. However, the traditional systems were ineffective due to the absence of multilevel decentralized trust management. Hence, this work proposed a multilevel decentralized trust management framework named OS-GRU and S-FUZZY-based dynamic TO in Blockchain (BC)- aided IoT Edge-Cloud Computing (ECC). Initially, the IoT devices are registered in the edge layer. Also, the DL-Scrypt is used to generate the hash code of the SLA. Then, the devices log in to the network to access the cloud resources using SLA. Similarly, the trust evaluation is done between the edge layer and fog layer using S-Fuzzy. If the trust is high then the hash code is verified in the blockchain. If verified, the tasks are clustered using k-means. Thereafter, the trust between the fog layer and cloud layer is validated, followed by load-balancing. Subsequently, the load-balanced data is inputted to the workload prediction framework. Now, the proposed OS-GRU is utilized to identify the cloud server’s workload. Next, the task’s features and cloud features are used to perform dynamic task offloading. Thus, the experimental outcomes proved that the proposed methodology had higher significance with an accuracy of 98.63 %.</div></div>","PeriodicalId":48686,"journal":{"name":"Sustainable Computing-Informatics & Systems","volume":"46 ","pages":"Article 101111"},"PeriodicalIF":3.8000,"publicationDate":"2025-03-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A multilevel decentralized trust management-aware OS-GRU and S-fuzzy-based dynamic task offloading in block-chain enabled Edge-Cloud\",\"authors\":\"Raj Kumar Gudivaka , Dinesh Kumar Reddy Basani , Sri Harsha Grandhi , Basava Ramanjaneyulu Gudivaka , Rajya Lakshmi Gudivaka , M.M. Kamruzzaman\",\"doi\":\"10.1016/j.suscom.2025.101111\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Recently, the dynamic Task Offloading (TO) in the cloud computing paradigm has gained immense popularity among researchers. However, the traditional systems were ineffective due to the absence of multilevel decentralized trust management. Hence, this work proposed a multilevel decentralized trust management framework named OS-GRU and S-FUZZY-based dynamic TO in Blockchain (BC)- aided IoT Edge-Cloud Computing (ECC). Initially, the IoT devices are registered in the edge layer. Also, the DL-Scrypt is used to generate the hash code of the SLA. Then, the devices log in to the network to access the cloud resources using SLA. Similarly, the trust evaluation is done between the edge layer and fog layer using S-Fuzzy. If the trust is high then the hash code is verified in the blockchain. If verified, the tasks are clustered using k-means. Thereafter, the trust between the fog layer and cloud layer is validated, followed by load-balancing. Subsequently, the load-balanced data is inputted to the workload prediction framework. Now, the proposed OS-GRU is utilized to identify the cloud server’s workload. Next, the task’s features and cloud features are used to perform dynamic task offloading. Thus, the experimental outcomes proved that the proposed methodology had higher significance with an accuracy of 98.63 %.</div></div>\",\"PeriodicalId\":48686,\"journal\":{\"name\":\"Sustainable Computing-Informatics & Systems\",\"volume\":\"46 \",\"pages\":\"Article 101111\"},\"PeriodicalIF\":3.8000,\"publicationDate\":\"2025-03-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Sustainable Computing-Informatics & Systems\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2210537925000319\",\"RegionNum\":3,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Sustainable Computing-Informatics & Systems","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2210537925000319","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, HARDWARE & ARCHITECTURE","Score":null,"Total":0}

引用次数: 0

摘要

近年来，云计算范式中的动态任务卸载（TO）得到了研究者的广泛关注。然而，由于缺乏多层次的分散信任管理，传统的系统效率低下。为此，本文在区块链（BC）辅助物联网边缘云计算（ECC）中提出了基于OS-GRU和s - fuzzy的多层去中心化信任管理框架。最初，物联网设备注册在边缘层。另外，还使用DL-Scrypt生成SLA的哈希码。然后，设备登录到网络中，通过SLA访问云资源。类似地，使用S-Fuzzy在边缘层和雾层之间进行信任评估。如果信任值高，则在区块链中验证哈希码。如果验证，则使用k-means对任务进行聚类。然后，验证雾层和云层之间的信任，然后进行负载平衡。随后，将负载平衡的数据输入到工作负载预测框架中。现在，建议的OS-GRU被用来识别云服务器的工作负载。接下来，使用任务的特性和云特性来执行动态任务卸载。实验结果表明，该方法具有较高的显著性，准确率为98.63 %。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A multilevel decentralized trust management-aware OS-GRU and S-fuzzy-based dynamic task offloading in block-chain enabled Edge-Cloud

Recently, the dynamic Task Offloading (TO) in the cloud computing paradigm has gained immense popularity among researchers. However, the traditional systems were ineffective due to the absence of multilevel decentralized trust management. Hence, this work proposed a multilevel decentralized trust management framework named OS-GRU and S-FUZZY-based dynamic TO in Blockchain (BC)- aided IoT Edge-Cloud Computing (ECC). Initially, the IoT devices are registered in the edge layer. Also, the DL-Scrypt is used to generate the hash code of the SLA. Then, the devices log in to the network to access the cloud resources using SLA. Similarly, the trust evaluation is done between the edge layer and fog layer using S-Fuzzy. If the trust is high then the hash code is verified in the blockchain. If verified, the tasks are clustered using k-means. Thereafter, the trust between the fog layer and cloud layer is validated, followed by load-balancing. Subsequently, the load-balanced data is inputted to the workload prediction framework. Now, the proposed OS-GRU is utilized to identify the cloud server’s workload. Next, the task’s features and cloud features are used to perform dynamic task offloading. Thus, the experimental outcomes proved that the proposed methodology had higher significance with an accuracy of 98.63 %.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS

CiteScore

10.70

自引率

4.40%

发文量

142

期刊介绍： Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.