面向OpenStack/Amazon弹性云集成的智能绿色能源计量设计

K C OKAFOR, J. A. Okoye, R. Onoshakpor
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引用次数: 1

摘要

大多数非洲国家的能源需求不足,从而阻碍了经济发展。通过利用可再生能源技术,可再生能源微电网的控制和管理需要一个强大/可靠的设计,支持通过云进行动态服务交付的智能集成。基于此,本文开发了智能绿色能源管理系统(SGEMS)来优化可再生能源微电网的需求侧管理(DSM)。该建筑采用太阳能光伏发电(PV)来产生能量,并测量用户的消费模式。介绍了SGEMS太阳能光伏计量平台的全球模型,包括结构化的OpenStack Cloud应用,主动负载均衡器,Trove/Hadoop大数据应用程序接口(API), OpenFlow防火墙和动态网络扩展。这些特性以很少的计算开销管理用户访问。简要介绍了事务工作负载的OpenStack/Amazon EC2实例场景的实验演示。该工作讨论了OpenStack引擎作为运行在AWS EC2上的sgems能源应用程序的分布式API中间件的有用性。
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Towards Smart Green Energy Metering Design for OpenStack/Amazon Elastic Cloud Integration
Energy demand in most African countries is insufficient thereby hindering economic development. By leveraging renewable technologies, the control and management of renewable micro-grids requires a robust/reliable design that supports smart integration via Cloud for dynamic service delivery. Motivated by this concern, this paper developed smart green energy management system (SGEMS) for optimizing demand side management (DSM) in renewable micro-grids. The architecture employs solar photovoltaic (PV) to generate energy and meters user consumption pattern. SGEMS global model for solar PV metering platform is introduced including structured OpenStack Cloud application with active load-balancers, Trove/Hadoop Bigdata application program interface (API), OpenFlow firewall, and dynamic network scaling. These features manage user access with little computational overhead. An experimental demonstration of OpenStack/Amazon EC2 instance scenarios for transactional workload is briefly highlighted. The work discussed the usefulness of OpenStack engine as a distributed API middleware for SGEMS-energy application running on AWS EC2.
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