优化容器管理的安全认证和动态负载平衡(SALB):确保完整性和提高资源效率

IF 1.5 4区 计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING
K. Aruna
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引用次数: 0

摘要

容器技术通过提供独立的轻量级环境,简化了扩展并增强了灵活性,从而彻底改变了应用程序的部署和管理。在此背景下,提出了基于安全认证的负载平衡(SALB)算法,通过将安全部署实践与动态负载平衡相结合,进一步增强容器化环境。该算法解决了现代计算系统的两个关键方面:安全性和资源管理。它采用远程认证来确保容器映像和主机环境的完整性和可靠性,从而防止来自受损或恶意组件的潜在威胁。同时,它根据实时工作负载评估、优化性能和资源利用率管理和分配容器之间的资源。该算法遵循结构化方法:初始化容器、生成应用程序包以及定义CPU和内存的操作阈值。然后,在部署容器之前,它执行远程认证以验证主机和容器映像的完整性。资源分配和任务分配根据容器的使用情况进行动态调整,并准备通过重新分配和创建新容器来处理过载或失败的容器。SALB算法的实现使集装箱管理系统更加安全高效。它可以有效地平衡工作负载,同时通过严格的认证流程保持高级别的安全性。动态资源分配和容错特性增强了系统性能和可靠性,证明了该算法优化容器化环境和确保鲁棒、可靠运行的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Secure Attestation and Dynamic Load Balancing (SALB) for Optimized Container Management: Ensuring Integrity and Enhancing Resource Efficiency

Container technology has revolutionized the deployment and management of applications by providing isolated, lightweight environments that simplify scaling and enhance flexibility. In this context, the secure attestation-based load balancing (SALB) algorithm is proposed to further enhance containerized environments by integrating secure deployment practices with dynamic load balancing. This algorithm addresses two pivotal aspects of modern computing systems: security and resource management. It employs remote attestation to ensure the integrity and trustworthiness of both container images and host environments, thereby safeguarding against potential threats from compromised or malicious components. Concurrently, it manages and allocates resources across containers based on real-time workload assessments, optimizing performance, and resource utilization. The algorithm follows a structured approach: initializing containers, generating application packages, and defining operational thresholds for CPU and memory. It then performs remote attestation to verify host and container image integrity before deploying the containers. Resource allocation and task assignment are dynamically adjusted based on container usage, with provisions for handling overloaded or failed containers through reassignment and the creation of new containers. The implementation of the SALB algorithm results in a more secure and efficient container management system. It balances workloads effectively while maintaining high levels of security through rigorous attestation processes. The dynamic resource allocation and fault-tolerance features enhance system performance and reliability, demonstrating the algorithm's capability to optimize containerized environments and ensure robust, reliable operations.

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来源期刊
Concurrency and Computation-Practice & Experience
Concurrency and Computation-Practice & Experience 工程技术-计算机:理论方法
CiteScore
5.00
自引率
10.00%
发文量
664
审稿时长
9.6 months
期刊介绍: Concurrency and Computation: Practice and Experience (CCPE) publishes high-quality, original research papers, and authoritative research review papers, in the overlapping fields of: Parallel and distributed computing; High-performance computing; Computational and data science; Artificial intelligence and machine learning; Big data applications, algorithms, and systems; Network science; Ontologies and semantics; Security and privacy; Cloud/edge/fog computing; Green computing; and Quantum computing.
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