Cloud service in stock trading game: Service virtualization, integration and financial application

Chin-Wei Wang, S. Chang
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引用次数: 1

Abstract

More and more cloud services emerging because of increased demand, but there is significant room for improvement. We propose architecture to integrate public cloud services for reducing costs. We consider three issues: (1) The general cloud storage services are unsuitable for large and complex data. A NoSQL datastore, the most common type of database for big data, can process operational information. (2) Integrating several cloud services into centralized systems or applications is challenging. (3) Enterprises often use their own equipment, which accounts for a large part of their costs. This study aims to construct cross-service architecture via free cloud-based NoSQL datastores for virtualizing and integrating needed computing resources and services. We build a stock trading game to test the feasibility and performance of the proposed architecture which can reduce equipment costs by virtualizing computing resources through various cloud-based services.
股票交易游戏中的云服务:服务虚拟化、集成和金融应用
由于需求的增加,越来越多的云服务出现,但仍有很大的改进空间。我们提出整合公共云服务的架构,降低成本。我们考虑了三个问题:(1)一般的云存储服务不适合大型和复杂的数据。NoSQL数据存储是大数据最常见的数据库类型,可以处理操作信息。(2)将多个云服务集成到集中式系统或应用程序中是具有挑战性的。(3)企业经常使用自己的设备,这占企业成本的很大一部分。本研究旨在通过免费的基于云的NoSQL数据存储构建跨服务架构,以虚拟化和集成所需的计算资源和服务。我们构建了一个股票交易游戏来测试所提出的架构的可行性和性能,该架构可以通过各种基于云的服务虚拟化计算资源来降低设备成本。
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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