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Cloud computing has emerged as a flexible and efficient paradigm to provide IT resources on-demand. However, it has also raised new challenges for infrastructure providers to manage large-scale deployments in an efficient and effective way. In this paper, we present the trade-off between energy consumption and performance. We outline a novel framework for efficient and effective resource consolidation...
Energy cost is the fastest-rising expense for today's cloud data centers. Power consumption is one of the top concerns for managers of cloud data centers. In such strong demands for cloud services, cloud data center is growing but lead to a lot of concerns about energy consumption. This work proposes a method to control cloud data center power consumption by Out-of-Band server hardware management...
The power consumption of data centers and cloud systems have increased almost three times between 2007 and 2012. Over-provisioning techniques are typically used for meeting the peak workloads. In this paper we present an autonomic power and performance management method for cloud systems in order to dynamically match the application requirements with "just-enough" system resources at runtime...
Increasingly, applications are moving into the cloud, which is actually supported by large-scale data centres on the ground. These data centres are complex systems to manage and centralized solutions might not be able to meet the required scale nor make an efficient use of their networks. In this paper, we propose a hierarchical approach to dynamic resource management in data centres, where we leverage...
The cost of electricity contributes significantly to the operating expense incurred in hosting cloud services. It is necessary to consider this cost while charging the consumers for their service utilization. In this work, we arrive at a metering mechanism for cloud services, in which the price of a cloud service tracks the variable input cost of electricity from a smart grid. The power-aware cloud...
In the recent years, Cloud computing is emerging as the next big revolution of both computer networks and web provisioning. Due to its enormous promises, several vendors, such as Amazon and IBM, started designing, developing, and deploying Cloud solutions to optimize the usage of their own data centers. Unfortunately, several management issues of the Cloud are still open and deserve additional research...
Nowadays, increasing importance has been attached to power management in modern data centers. A lot of solutions have been produced to reduce power consumption without producing an effect on quality of service. One common way is to associate with virtualization technology that has been widely used in data centers. This is due to not only its features of reliability and ease of management,but also...
This paper analyses information on the electricity consumed by a site of an experimental Grid infrastructure and its correlations with users' resource reservation requests. The power consumption of all servers of this site was monitored for a period of six months, the data was gathered to enable studies on approaches for reducing the energy footprint of Grids and Clouds.
We construct energy optimization policies for a server cluster, using statistical data analyses and demand prediction methodologies, with an aim to reduce the power consumption of the server cluster. In doing so, we monitor and analyze the historical time-series utilization data of a server cluster. Based on the analyses results, we develop predictions about utilization of servers for future time...
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