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  1. IEEE Transactions on Cloud Computing
  2. Year : 2013 Volume : 1
  3. Issue 1
  4. Greenhead: Virtual Data Center Embedding across Distributed Infrastructures
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Year : 2015 Volume : 3
Year : 2014 Volume : 2
Year : 2013 Volume : 1
Issue 2
Issue 1
Introduction to the IEEE Transactions on Cloud Computing
A Tabu Search Algorithm for the Location of Data Centers and Software Components in Green Cloud Computing Networks
Greenhead: Virtual Data Center Embedding across Distributed Infrastructures
Modeling and Analysis of State-of-the-art VM-based Cloud Management Platforms
On the Characterization of the Structural Robustness of Data Center Networks
Outsourcing Large Matrix Inversion Computation to A Public Cloud
Practical Compute Capacity Management for Virtualized Datacenters
QoS-Aware Data Replication for Data-Intensive Applications in Cloud Computing Systems
Stratus: Load Balancing the Cloud for Carbon Emissions Control

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Greenhead: Virtual Data Center Embedding across Distributed Infrastructures

Content Provider IEEE Xplore Digital Library
Author Amokrane, A. Zhani, M.F. Langar, R. Boutaba, R. Pujolle, G.
Copyright Year 2013
Abstract Cloud computing promises to provide on-demand computing, storage, and networking resources. However, most cloud providers simply offer virtual machines (VMs) without bandwidth and delay guarantees, which may hurt the performance of the deployed services. Recently, some proposals suggested remediating such limitation by offering virtual data centers (VDCs) instead of VMs only. However, they have only considered the case where VDCs are embedded within a single data center. In practice, infrastructure providers should have the ability to provision requested VDCs across their distributed infrastructure to achieve multiple goals including revenue maximization, operational costs reduction, energy efficiency, and green IT, or to simply satisfy geographic location constraints of the VDCs. In this paper, we propose Greenhead, a holistic resource management framework for embedding VDCs across geographically distributed data centers connected through a backbone network. The goal of Greenhead is to maximize the cloud provider's revenue while ensuring that the infrastructure is as environment-friendly as possible. To evaluate the effectiveness of our proposal, we conducted extensive simulations of four data centers connected through the NSFNet topology. Results show that Greenhead improves requests' acceptance ratio and revenue by up to 40 percent while ensuring high usage of renewable energy and minimal carbon footprint.
Starting Page 36
Ending Page 49
Page Count 14
File Size 1405737
File Format PDF
ISSN 21687161
Volume Number 1
Issue Number 1
Language English
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE) Computer Society
Publisher Date 2013-01-01
Publisher Place U.S.A.
Access Restriction One Nation One Subscription (ONOS)
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword Data processing Distributed processing Network architecture Virtual systems Green computing Distributed databases Resource management Cloud computing distributed infrastructure energy efficiency cloud computing virtual data center
Content Type Text
Resource Type Article
Subject Computer Networks and Communications Information Systems Computer Science Applications Hardware and Architecture Software
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