Next generation virtual datacenter management and monitoring framework

下一代虚拟数据中心管理和监控框架

• 批准号: 470999-2014
• 负责人: deLara, Eyal
• 金额: $ 10.87万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=618872
• 关键词: Next; generation; virtual; datacenter; management

Cloud computing and virtualization technologies are dramatically changing how IT systems operate. What used to be a relatively static environment, with fixed physical nodes, has quickly transformed into a highlydynamic environment, where (clusters of) virtual machines (VMs) are programmatically provisioned, started, replicated, stopped and deprovisioned with cloud APIs. VMs have become the processes of the cloud OS, with short lifetimes and a rapid proliferation trend.While the nature of data center operations has changed drastically, the management methodology of these (virtual) machines has not adapted appropriately. For example, common tasks, such as performance monitoring, compliance and security scans, and product discovery amongst others are carried out using repurposed versions of tools originally developed for managing physical systems. Unfortunately, this approach does not leverage new opportunities created by virtualization and as a result fails to deliver on the promise of high resource utilization, strong workload isolation, and predictable application performance.We argue that realizing the potential of the modern data center requires redesigning the management framework from the ground up. This proposal is a joint effort between the University of Toronto and IBM to research a new management framework that leverages the virtualization layer to monitor, analyze, and actuate. A first thrust researches novel cluster monitoring infrastructure that leverages virtualization technology to extract detailed, comprehensive and consistent cluster and application information. A second thrust leverages our novel monitoring infrastructure to develop two applications that address the key challenges of VM placement and anomaly detection.

云计算和虚拟化技术正在极大地改变IT系统的运行方式。曾经是一个相对静态的环境，具有固定的物理节点，已经迅速转变为一个高度动态的环境，其中（集群）虚拟机（VM）通过云API以编程方式进行配置，启动，复制，停止和取消配置。虚拟机已经成为云操作系统的进程，具有生命周期短和快速扩散的趋势。虽然数据中心操作的性质发生了巨大变化，但这些（虚拟）机的管理方法却没有相应地适应。例如，性能监控、合规性和安全扫描以及产品发现等常见任务都是使用最初为管理物理系统而开发的工具的重新用途版本来执行的。不幸的是，这种方法并没有利用虚拟化带来的新机遇，因此无法实现高资源利用率，强大的工作负载隔离和可预测的应用程序性能的承诺。我们认为，实现现代数据中心的潜力，需要重新设计管理框架从零开始。该提案是多伦多大学和IBM共同努力的成果，旨在研究一种新的管理框架，该框架利用虚拟化层进行监视、分析和执行。第一个推力研究新的集群监控基础设施，利用虚拟化技术来提取详细，全面和一致的集群和应用程序信息。第二个重点是利用我们新颖的监控基础设施开发两个应用程序，以解决虚拟机放置和异常检测的关键挑战。