Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing
TLDR
An architectural framework and principles for energy-efficient Cloud computing are defined and the proposed energy-aware allocation heuristics provision data center resources to client applications in a way that improves energy efficiency of the data center, while delivering the negotiated Quality of Service (QoS).About:
This article is published in Future Generation Computer Systems.The article was published on 2012-05-01 and is currently open access. It has received 2511 citations till now. The article focuses on the topics: Cloud computing & Utility computing.read more
Figures
Fig. 10. The network optimization. 
Fig. 11. The temperature optimization. 
Fig. 9. The optimization over multiple resources. 
Fig. 3. The mean energy consumption by the MM policy for different values of the utilization thresholds. 
Fig. 2. The energy consumption and SLA violations by the ST policy. 
Fig. 8. The distribution of the time until a host is switched to the sleep mode.
Citations
More filters
Journal ArticleDOI
A Survey on Mobile Edge Computing: The Communication Perspective
TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management is provided in this paper, where a set of issues, challenges, and future research directions for MEC are discussed.
Posted Content
A Survey on Mobile Edge Computing: The Communication Perspective
TL;DR: A comprehensive survey of the state-of-the-art MEC research with a focus on joint radio-and-computational resource management and recent standardization efforts on MEC are introduced.
Journal ArticleDOI
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
Anton Beloglazov,Rajkumar Buyya +1 more
TL;DR: A competitive analysis is conducted and competitive ratios of optimal online deterministic algorithms for the single VM migration and dynamic VM consolidation problems are proved, and novel adaptive heuristics for dynamic consolidation of VMs are proposed based on an analysis of historical data from the resource usage by VMs.
Journal ArticleDOI
Data Center Energy Consumption Modeling: A Survey
TL;DR: An in-depth study of the existing literature on data center power modeling, covering more than 200 models, organized in a hierarchical structure with two main branches focusing on hardware-centric and software-centric power models.
Journal ArticleDOI
On Global Electricity Usage of Communication Technology: Trends to 2030
Anders S. G. Andrae,Tomas Edler +1 more
TL;DR: An estimation of the global electricity usage that can be ascribed to Communication Technology between 2010 and 2030 suggests that CT electricity usage could contribute up to 23% of the globally released greenhouse gas emissions in 2030.
References
More filters
Proceedings ArticleDOI
Weatherman: Automated, Online and Predictive Thermal Mapping and Management for Data Centers
TL;DR: Experimental results from a representative data center show that automatic thermal mapping can predict accurately the heat distribution resulting from a given workload distribution and cooling configuration, thereby removing the need for static or manual configuration of thermal load management systems.
Journal ArticleDOI
From infrastructure delivery to service management in clouds
Luis Rodero-Merino,Luis M. Vaquero,Victor Gil,Fermín Galán,Javier Fontan,Rubén S. Montero,Ignacio M. Llorente +6 more
TL;DR: Claudia, a service management system that implements a new abstraction layer closer to the lifecycle of services that allows for their automatic deployment and escalation depending on the service status, and the results of the deployment of a grid service on such system.
Proceedings ArticleDOI
Energy-aware traffic engineering
Nedeljko Vasic,Dejan Kostic +1 more
TL;DR: This paper presents Energy-Aware Traffic engineering (EATe), a technique that takes energy consumption into account while achieving the same traffic rates as the energy-oblivious approaches and can succeed in making 16% of active routers sleep.
Journal Article
Energy-efficient server clusters
TL;DR: In this paper, the authors evaluate five power management policies for cluster-wide power management in server farms and show that a relatively simple policy of independent dynamic voltage scaling on each server node can achieve savings ranging up to 29%.
Book
Energy Efficiency for Information Technology: How to Reduce Power Consumption in Servers and Data Centers
L. Minas,B. Ellison +1 more
TL;DR: It is highlighted how power consumption has grown quickly, driven by the sheer number of servers deployed in datacenters, and the operational expense for energy over a three year period of operation will soon equal the capital expense of hardware.
Related Papers (5)
Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
Anton Beloglazov,Rajkumar Buyya +1 more