A new approach for service migration in cloud‐based e‐commerce using an optimization algorithm,International Journal of Communication Systems

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A new approach for service migration in cloud‐based e‐commerce using an optimization algorithm
International Journal of Communication Systems ( IF 1.7 ) Pub Date : 2020-07-02 , DOI: 10.1002/dac.4457
Lixia Huang ₁ , Karlo Abnoosian ₂

Affiliation

Service‐oriented architecture (SOA) has a crucial role in backing productive cloud services. Also, the vast spread of the theoretical notion of diverse businesses (like e‐commerce) into the actual use has been recently applied by cloud computing. The service functionality could be affected by overfilling of the network traffic because of the broadly dispersed nature of e‐commerce in clouds—a key challenge for immediate jobs. Throughout the last decade, a vast range of applications or large‐scale operators has increasingly attracted to migrate the services in clouds. An effective method for accessing the applications throughout standard business hours is continually moving virtual machine containers from one data center to another. Now, with the commonness of cloud computing, many applications have been moved to the cloud fully/partly. It can be handled through the migration of cloud services to diverse platforms in a way that minimizes the communication cost of e‐commerce. As this issue has an NP‐hard nature, in the present article, we present an automatic smart service migration outline through the ant colony optimization (ACO) algorithm on cloud‐oriented e‐commerce. In the presented model, we use the ACO algorithm to take the finest (near‐optimal) service migration decisions. Based on the obtained results, the proposed technique has the optimal number of migrations compared to the existing models.

中文翻译：

使用优化算法的基于云的电子商务中服务迁移的新方法

面向服务的体系结构（SOA）在支持生产型云服务方面起着至关重要的作用。另外，最近，云计算已将各种业务（如电子商务）的理论概念广泛传播到实际使用中。由于云中电子商务的广泛分散性质，服务功能可能会因网络流量过剩而受到影响，这是直接工作的关键挑战。在过去的十年中，越来越多的应用程序或大型运营商吸引了人们在云中迁移服务。在整个标准工作时间内访问应用程序的有效方法是将虚拟机容器从一个数据中心不断移到另一个数据中心。现在，由于云计算的普遍性，许多应用程序已全部/部分迁移到云中。可以通过将云服务迁移到各种平台来进行处理，以最大程度地减少电子商务的通信成本。由于此问题具有NP难性，因此在本文中，我们通过面向云的电子商务中的蚁群优化（ACO）算法提出了自动智能服务迁移概述。在提出的模型中，我们使用ACO算法来做出最佳（近乎最佳）的服务迁移决策。根据获得的结果，与现有模型相比，所提出的技术具有最佳的迁移次数。我们通过面向云的电子商务上的蚁群优化（ACO）算法提出了自动智能服务迁移大纲。在提出的模型中，我们使用ACO算法来做出最佳（近乎最佳）的服务迁移决策。根据获得的结果，与现有模型相比，所提出的技术具有最佳的迁移次数。我们通过面向云的电子商务上的蚁群优化（ACO）算法提出了自动智能服务迁移大纲。在提出的模型中，我们使用ACO算法来做出最佳（近乎最佳）的服务迁移决策。根据获得的结果，与现有模型相比，所提出的技术具有最佳的迁移次数。

更新日期：2020-07-02

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