In the last few years, there has been a remarkable growth in the number of data centers, which represent one of the leading sources of increased business data traffic on the Internet. An effect of the growing scale an...
详细信息
ISBN:
(纸本)9781509014453
In the last few years, there has been a remarkable growth in the number of data centers, which represent one of the leading sources of increased business data traffic on the Internet. An effect of the growing scale and the wide use of data centers is the dramatic increase of power consumption, with significant consequences both in terms of environmental and operational costs. Hence, energy awareness has become one of the major design constraints for Cloud infrastructures. In order to face these challenges, a new generation of energy-efficient and ecosustainable network infrastructures is needed. In this work, a novel energy-aware resource orchestration framework for distributed Cloud infrastructures is introduced, in order to manage both network and IT resources in a typical optical backbone. A high-level overview of the system architecture is provided by focusing on the definition of the different layers of the whole infrastructure, and introducing the Path Computation Element, which is the key component of the proposed architecture. The aim is to explain how both network and IT resources can be managed while, at the same time, the overall power consumption is being minimized and QoS requirements are satisfied. Finally, a green migration plan that is obtained by applying Virtual Machine relocation algorithms is discussed, in order to dynamically react to the fluctuating resource requirements of the VMs.
The application of effective energy management strategies in data centers is often hindered by the substantial conflict between the interests of cloud users and infrastructure owners. As a matter of fact, cloud users ...
详细信息
ISBN:
(纸本)9781450346160
The application of effective energy management strategies in data centers is often hindered by the substantial conflict between the interests of cloud users and infrastructure owners. As a matter of fact, cloud users require that the service level they are paying for is tightly met, whereas data center owners try to cut down their operational expenses. In this paper, we propose a novel consolidation algorithm that exploits emerging software development paradigms. Our approach enables cloud users to indicate their willingness to apply energy saving mechanisms to some of their virtual resources, hence giving infrastructure managers the ability to apply more efficient workload consolidation and to switch their hardware to very low-power states. The result is an optimal trade-off between energy consumption and performance.
暂无评论