Total Energy Management System for Cloud Computing
Total Energy Management System for Cloud Computing
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DOI：
10.1109/ic2e.2013.46
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发表时间：
2013-03
期刊：
影响因子：
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通讯作者：
Fumiko Satoh;H. Yanagisawa;Hitomi Takahashi;T. Kushida
中科院分区：
文献类型：
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作者：
Fumiko Satoh;H. Yanagisawa;Hitomi Takahashi;T. Kushida
减少云计算中的能源使用是可持续发展社会的一个重要问题。有许多现有的方法来减少数据中心的能源使用，但在云计算的能源管理的情况下，需要新的方法。云计算涉及分散的数据中心，因此收集能耗数据的新的灵活方式变得非常重要。目前，许多方法都集中在降低空气处理设备的能耗上，但IT资源的能源也需要优化，以实现云计算的总体能源管理。针对云计算的高级能源管理，我们开发了具有传感器管理功能的云能源管理系统，并通过优化的虚拟机分配工具来最大限度地减少多个数据中心的能源消耗。我们的评估显示，在我们的实验环境中，服务器节省了30%以上的能源。我们的系统可以扩展到从各种角度优化能源使用，例如最大限度地减少电费或碳排放。
Reducing the energy used in Cloud Computing is an important issue a sustainable society. There are many existing approaches for reducing energy use in data centers, but new approaches are needed in case of energy management of Cloud Computing. Cloud Computing involves decentralized data centers, so new flexible way for collecting energy consumption data becomes quite important. Many current approaches focus on reducing energy consumption by air handling equipment, however energy from IT resources also need to be optimized for a total energy management of Cloud Computing. For advanced energy management for Cloud Computing, we developed a Cloud energy management system with sensor management functions, with an optimized VM allocation tool to minimize energy consumption at multiple data centers. Our evaluations showed more than a 30% energy savings for the servers in our experimental environment. Our system can be extended to optimize energy usage from various perspectives, such as for minimizing electricity bills or carbon emissions.