Special Issue on ?Green Cloud Computing?
of The Journal of Grid Computing (Impact Factor 1.603)
http://www.ieee-cloudnet.org/ JGC-SI-GCC.pdf
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Cloud computing is nowadays very popular and extended among Internet users. It provides a wide variety of services, from high performance computing to storage or web services. Behind the cloud, there are huge datacentres that are usually composed by a large variety of computing, storage, and networking devices, among others, that boost their power consumption. This important issue does not only concern the increasing cost of operating these centers, but it also implies an important environmental impact.
Optimising the energy consumption in datacenters is therefore of high importance not only for companies, but for governments too. There are several ways that may lead to a reduction of the energy consumption in datacenters. An efficient utilization of the resources is obviously one of them, but not the only one. Research on novel more efficient cooling systems, new computing and network architectures, and storage systems is needed for the next generation green datacenters. In addition, the design of highly efficient software and services is a must for the green cloud.
This special issue focusses on novel solutions that contribute to the reduction of energy cunsumption in the cloud.
The topics covered by this special issue include, but are not limited to:
- Green ICT
- Green data centers and cloud networking
- Energy-efficient networking
- Energy-efficient protocols and algorithms
- Energy-efficient computing
- Energy-efficient data management
- Energy-efficient services
- Energy-efficient resource allocation
- Energy-aware schedule
- Efficient virtualization and consolidation
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Notes for Prospective Authors
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This special issue invites original research papers that present novel ideas in the field. Every submitted paper will be peer reviewed according to the usual standards of this journal, and will be evaluated on the basis of originality, quality and relevance to this Special Issue and the journal, and on the basis of clarity and correct use of English. Submitted articles must not have been previously published or currently submitted for publication elsewhere. Papers should be submitted directly to the Journal of Grid Computing at https://www.editorialmanager. com/grid/. When submitting your paper, please be sure that you choose the "Green Cloud Computing" special issue.
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Important Dates
============================== ===
Full Paper Regular Submission Due: October 31, 2014
Extended versions of CLOUDNET Best Papers Due: December 1, 2014
Notification of Results: March 15, 2015
Revisions Due: April 15, 2015
Notifications of Final Acceptance: May 15, 2015
Submissions of Final Revised Papers: June 15, 2015
Expected Publication Date: Early 2016
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Guest Editors
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Dr Bernab? Dorronsoro
University of Lille 1, France
bernabe.dorronsoro_diaz@inria. fr
Dr Dzmitry Kliazovich, Prof. Dr Pascal Bouvry
University of Luxembourg, Luxembourg
{dzmitry.kliazovich, bernabe.dorronsoro, pascal.bouvry}@uni.lu
Prof. Dr Albert Zomaya
The University of Sydney, Australia
a.zomaya@usyd.edu.au
============================== ====
Editors-in-Chief
============================== ====
Peter Kacsuk
Laboratory of Parallel and Distributed Systems, Hungarian Academy of Sciences
of The Journal of Grid Computing (Impact Factor 1.603)
http://www.ieee-cloudnet.org/
==============================
Cloud computing is nowadays very popular and extended among Internet users. It provides a wide variety of services, from high performance computing to storage or web services. Behind the cloud, there are huge datacentres that are usually composed by a large variety of computing, storage, and networking devices, among others, that boost their power consumption. This important issue does not only concern the increasing cost of operating these centers, but it also implies an important environmental impact.
Optimising the energy consumption in datacenters is therefore of high importance not only for companies, but for governments too. There are several ways that may lead to a reduction of the energy consumption in datacenters. An efficient utilization of the resources is obviously one of them, but not the only one. Research on novel more efficient cooling systems, new computing and network architectures, and storage systems is needed for the next generation green datacenters. In addition, the design of highly efficient software and services is a must for the green cloud.
This special issue focusses on novel solutions that contribute to the reduction of energy cunsumption in the cloud.
The topics covered by this special issue include, but are not limited to:
- Green ICT
- Green data centers and cloud networking
- Energy-efficient networking
- Energy-efficient protocols and algorithms
- Energy-efficient computing
- Energy-efficient data management
- Energy-efficient services
- Energy-efficient resource allocation
- Energy-aware schedule
- Efficient virtualization and consolidation
==============================
Notes for Prospective Authors
==============================
This special issue invites original research papers that present novel ideas in the field. Every submitted paper will be peer reviewed according to the usual standards of this journal, and will be evaluated on the basis of originality, quality and relevance to this Special Issue and the journal, and on the basis of clarity and correct use of English. Submitted articles must not have been previously published or currently submitted for publication elsewhere. Papers should be submitted directly to the Journal of Grid Computing at https://www.editorialmanager.
==============================
Important Dates
==============================
Full Paper Regular Submission Due: October 31, 2014
Extended versions of CLOUDNET Best Papers Due: December 1, 2014
Notification of Results: March 15, 2015
Revisions Due: April 15, 2015
Notifications of Final Acceptance: May 15, 2015
Submissions of Final Revised Papers: June 15, 2015
Expected Publication Date: Early 2016
==============================
Guest Editors
==============================
Dr Bernab? Dorronsoro
University of Lille 1, France
bernabe.dorronsoro_diaz@inria.
Dr Dzmitry Kliazovich, Prof. Dr Pascal Bouvry
University of Luxembourg, Luxembourg
{dzmitry.kliazovich, bernabe.dorronsoro, pascal.bouvry}@uni.lu
Prof. Dr Albert Zomaya
The University of Sydney, Australia
a.zomaya@usyd.edu.au
==============================
Editors-in-Chief
==============================
Peter Kacsuk
Laboratory of Parallel and Distributed Systems, Hungarian Academy of Sciences
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