CSR: Small: PowerMeter: Tracking Energy Usage in the Clouds

虚拟化数据中心上的工作负载整合是一种常用技术，用于管理云平台的电力使用和能源效率。然而，当前的解决方案限制了对各种云租户如何消耗能源的可用洞察力。为了解决这一差距，本研究开发了PowerMeter ？一组机制和工具，可以在单个vm的粒度上跟踪虚拟化云基础设施中的能源使用情况，或者对应于特定云租户（例如，客户或应用程序）的vm集。PowerMeter是为基于最新一代技术的3000核全仪表数据中心原型和1000核系统开发的，并使用基于流行云应用程序和公开可用云跟踪的代表性工作负载混合进行评估。PowerMeter将提供目前缺少的动态评估数据中心/云内能源使用的功能，这对于实现云客户的能源使用透明度和问责制，了解虚拟化云系统中提高能源效率的机会，以及进一步开发节能数据中心的管理方法是必要的。

Workload consolidation on virtualized datacenters is one common technique used to manage the power usage and energy efficiency of cloud platforms. However, current solutions limit the available insight into exactly how energy is consumed by the various cloud tenants. In order to address this gap, this research develops PowerMeter ? a set of mechanisms and tools that make it possible to track energy usage in virtualized cloud infrastructures, on granularity of individual VMs, or sets of VMs corresponding to a specific cloud tenant, e.g., a customer or an application. PowerMeter is developed for a 3000-core fully instrumented datacenter prototype and a 1000- core system based on newest-generation technology, and is evaluated using representative workload mixes based on popular cloud applications and publicly available cloud traces. PowerMeter will provide currently missing capabilities for dynamically assessing in- datacenter/in-cloud energy usage, necessary to enable energy usage transparency and accountability to cloud customers, to understand the opportunities for improved energy efficiency in virtualized cloud systems, and for further development of management methods for energy- efficient datacenters.