Smart Virtualized Platform for Cloud Management Systems

云管理系统智能虚拟化平台

• 批准号: 521537-2018
• 负责人: Shami, Abdallah
• 金额: $ 11.8万
• 依托单位: University of Western Ontario
• 依托单位国家: 加拿大
• 项目类别: Strategic Projects - Group
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=697865
• 关键词: Smart; Virtualized; Platform; Cloud; Management

In this strategic project, we plan to investigate a novel design of a comprehensive framework for smart cloud management that offers carrier-grade quality guarantees. The main idea is to innovatively utilize different optimization frameworks to address on-demand elasticity of the virtualized platform while considering the characteristics of the existing workloads (e.g., VNFs), components relations, computational constraints, QoS requirements, and service requests' characteristics. Moreover, we aim to employ various data analytics and Machine Learning techniques to accurately model the behaviors of the VNF workload and predict resource utilization and workload demands. Resource utilization and workload behaviors patterns will be identified. For example, features such as workload spikes, frequent changes in the application traffic/state/volume, services' QoS requirements, and interdependencies between components to handle a workload (i.e., VNF) will be explored.

在这个战略项目中，我们计划研究一个全面的智能云管理框架的新设计，提供运营商级的质量保证。主要思想是创新性地利用不同的优化框架来解决虚拟化平台的按需弹性，同时考虑现有工作负载的特性（例如，VNF）、组件关系、计算约束、QoS要求和服务请求的特性。此外，我们的目标是使用各种数据分析和机器学习技术来准确地建模VNF工作负载的行为，并预测资源利用率和工作负载需求。 将确定资源利用率和工作负载行为模式。例如，诸如工作负载尖峰、应用业务/状态/量的频繁变化、服务的QoS要求以及处理工作负载的组件之间的相互依赖性（即，VNF）将被探索。