Jaya dung beetle optimization-based load balancing and VM Migration for cloud data security in DevOps

IF 4 3区计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE

Computers & Electrical Engineering Pub Date : 2025-05-01 DOI:10.1016/j.compeleceng.2025.110400

Yanamala Harinatha Reddy , D B Jagannadha Rao , Vijayakumar Polepally

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引用次数: 0

Abstract

In cloud computing applications different development strategies like (Development and Operational) DevOps are deployed due to their wide applications. At the same time, migration from the development framework to an organization framework is required for deploying various applications in the cloud to ensure scalability and optimal resource usage in DevOps. Various security vulnerabilities occur in the deployment environment during the migration process. The inherent complexity of DevOps along with the absence of proper encryption schemes make it vulnerable to attacks. To address this issue, the Jaya Dung Beetle Optimization (JDBO) approach is designed for balancing load and performing Virtual Machine (VM) migration. Here, the code is configured initially using the DevOps code repository, and the code processor is exploited for handling the version control. The source code changes are determined and data is encrypted. Later, VM is categorized as underloaded and overloaded by utilizing Deep Embedded Clustering (DEC) and the load is computed. VM migration and load balancing are effectuated using JDBO. Finally, the deployment of the VM is carried out again and the VM data is decrypted. Moreover, the JDBO observed resource utilization, load, mitigation costs, time complexity, and capacity of 0.934, 0.065, 8.5, 0.439 s, and 90.79 MB.

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基于Jaya屎壳郎优化的负载均衡和虚拟机迁移在DevOps中的云数据安全

在云计算应用程序中，由于应用广泛，部署了不同的开发策略，如（开发和运营）DevOps。同时，在云中部署各种应用程序需要从开发框架迁移到组织框架，以确保可伸缩性和DevOps中的最佳资源使用。在迁移过程中，部署环境中会出现各种安全漏洞。DevOps固有的复杂性以及缺乏适当的加密方案使其容易受到攻击。为了解决这个问题，Jaya蜣螂优化（JDBO）方法被设计用于平衡负载和执行虚拟机（VM）迁移。在这里，最初使用DevOps代码存储库配置代码，并利用代码处理器来处理版本控制。确定源代码更改并对数据进行加密。然后利用DEC （Deep Embedded Clustering）对虚拟机进行负载过低和过载分类，并计算负载。虚拟机迁移和负载平衡是使用jdbc实现的。最后，重新部署虚拟机，并对虚拟机数据进行解密。此外，jdbc观察到的资源利用率、负载、缓解成本、时间复杂度和容量分别为0.934、0.065、8.5、0.439 s和90.79 MB。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Computers & Electrical Engineering 工程技术-工程：电子与电气

CiteScore

9.20

自引率

7.00%

发文量

661

审稿时长

47 days

期刊介绍： The impact of computers has nowhere been more revolutionary than in electrical engineering. The design, analysis, and operation of electrical and electronic systems are now dominated by computers, a transformation that has been motivated by the natural ease of interface between computers and electrical systems, and the promise of spectacular improvements in speed and efficiency. Published since 1973, Computers & Electrical Engineering provides rapid publication of topical research into the integration of computer technology and computational techniques with electrical and electronic systems. The journal publishes papers featuring novel implementations of computers and computational techniques in areas like signal and image processing, high-performance computing, parallel processing, and communications. Special attention will be paid to papers describing innovative architectures, algorithms, and software tools.