选择在多云环境中托管Web应用程序的云服务提供商

A. Ramamurthy, Saket Saurabh, M. Gharote, S. Lodha
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引用次数: 10

摘要

随着数据法规和驻留法律的不断发展,企业为地理上分布的所有用户提供服务变得越来越具有挑战性。为了遵守法规并利用其优势,例如低成本的高质量服务,并避免供应商锁定,企业正在寻求多个云服务提供商(csp)来托管其web应用程序。在多云环境中选择云计算服务提供商是一个具有挑战性的问题,因为它取决于多个标准,如安全性、服务成本、可管理性等。在本文中,我们解决了由多个标准组成的多云环境中多个应用程序的CSP选择问题。我们提供了一个整体的解决方案方法,使用多标准决策(MCDM)技术对每个web应用程序的CSP组合进行排名。解决方案的方法考虑了虚拟机和云中心的选择,以对CSP组合进行排名。然而,从可管理性和预算的角度来看,为所有应用程序选择排名靠前的CSP组合可能不是一个可行的选择。因此,我们提出了一个优化模型,以选择csp为企业的多种应用考虑预算和排名。我们通过数值实验展示了我们的方法,并提供了各种见解。
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Selection of Cloud Service Providers for Hosting Web Applications in a Multi-cloud Environment
With the evolving data regulations and residency laws, it is becoming challenging for enterprises to serve all the geographically distributed users. To abide with the regulations and to leverage the benefits, such as good quality of service at a low cost, and avoid vendor lock-in, enterprises are seeking multiple Cloud Service Providers (CSPs) for hosting their web applications. The selection of CSPs in a multi-cloud environment is a challenging problem as it depends on multiple criteria such as security, service cost, manageability and so on.In this paper, we address the CSP selection problem for multiple applications in a multi-cloud environment comprising of multiple criteria. We provide a holistic solution methodology that ranks the CSP combinations for each web application using a multiple-criteria decision-making (MCDM) technique. The solution methodology takes virtual machine and cloud center selection into consideration for ranking the CSP combinations. However, selecting the top ranked CSP combinations for all applications may not be a viable option from the manageability and budget perspectives. Hence, we propose an optimization model to select CSPs for multiple applications of an enterprise considering budget and rank. We demonstrate our methodology through numerical experiments and provide various insights.
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