IEEE Transactions on Cloud Computing
Special Issue on Green and Energy-Efficient Cloud Computing
Guest Editors
Carlo Mastroianni, National Research of Italy, Italy
Samee U. Khan, North Dakota State University, USA
Ricardo Bianchini, Rutgers University and Microsoft, USA
Editor in Chief
Rajkumar Buyya, The University of Melbourne, Australia
Synopsis
This special issue will provide the scientific and industrial
communities a dedicated forum to present new research,
development, and deployment efforts in the field of green and
energy- efficient Cloud Computing. For example, while
significant advancements have been made to increase the physical
efficiency of power supplies and cooling components that improve the
PUE index, such improvements are often circumscribed to the huge
data centers run by large cloud companies. Even stronger effort is
needed to improve the data center computational efficiency, as servers
are today highly underutilized, with typical operating range between
10% and 30%. In this respect, advancements are needed both to
improve the energy-efficiency of servers and to dynamically
consolidate the workload on fewer, and better utilized, servers.
Another avenue for optimization has been opened by the
increasing adoption of network virtualization and Software
Defined Networks (SDNs). The goal is not only to increase
the utilization of network components, but also to help migrate
portions of workloads across remote data centers to exploit the
variability of electricity prices or the availability of renewable
energy. In-Cloud Resiliency is another interesting topic,
originating from the high and increasing costs required to match
reliability and fault-tolerance requirements. In-Cloud Resiliency
refers to the possibility of using cloud resources and technology as a
means to achieve resiliency goals while reducing the need for failover
capacity and redundant infrastructures. This special issue will be an
excellent venue to help the community analyze the current state,
determine future goals, and define architectures and technologies
that will foster the adoption of greener and more efficient cloud
resources.
Topics of interest include but are not limited to:
o Physical efficiency of data centers and cloud infrastructures
o Energy- and cost-efficient cloud architectures
o Computational efficiency of data centers and cloud infrastructures
o Workload characterization and optimization
o Use of virtualization to improve the utilization of cloud resources
o Dynamic workload consolidation
o Efficient balancing of applications and virtual machines
o Energy-efficient resource scheduling and optimization
o Energy-efficient computation
o Energy-aware data storage
o Energy-aware resource control and monitoring
o Use of DCIM tools to automate data center management
o Energy-aware use of DCIM tools
o Adoption of green energy to empower data centers and -loud infrastructures
o Energy and cost-efficient network virtualization
o Energy and cost-efficient usage of Software Defined Networks
o Efficient management of geographically distributed data centers
o Energy and cost-efficient reliability and resiliency in cloud
computing and data centers
o Energy-aware data scheduling, monitoring, auditing in cloud
computing and data centers
Important Dates
Paper submission: November 30, 2014
First Round Decisions: January 31, 2015
Major Revisions Due (if needed): March 15, 2015
Final Decisions: May 01, 2015
Special Issue Date: As determined by the production queue.
Paper Submission
Authors are invited to submit unpublished and original work to the
IEEE Transactions on Cloud Computing (TCC), Special Issue on Green and
Energy-Efficient Cloud Computing. If the paper is extended from an
initial work, the submission must contain at least 50% new material
that can be qualified as "brand" new ideas and results. The paper must
be in the IEEE TCC format, namely 14 double-column pages or 30
single-column pages (Note: All regular paper page limits
include references and author biographies). Please note that the
double-column format will translate more readily into the final
publication format. A double-column page is defined as a 7.875"?10.75"
page with 10-point type, 12-point vertical spacing, and 0.5
inch margins. A single-column page is defined as an 8.5"?11"
page with 12-point type and 24-point vertical spacing,
containing approximately 250 words. All of the margins should be one
inch (top, bottom, right and left). These length limits are taking
into account reasonably-sized figures and references.
Papers must be submitted using the submission system:
https://mc.manuscriptcentral.
issue option "SI-GreenCloud."
Special Issue on Green and Energy-Efficient Cloud Computing
Guest Editors
Carlo Mastroianni, National Research of Italy, Italy
Samee U. Khan, North Dakota State University, USA
Ricardo Bianchini, Rutgers University and Microsoft, USA
Editor in Chief
Rajkumar Buyya, The University of Melbourne, Australia
Synopsis
This special issue will provide the scientific and industrial
communities a dedicated forum to present new research,
development, and deployment efforts in the field of green and
energy- efficient Cloud Computing. For example, while
significant advancements have been made to increase the physical
efficiency of power supplies and cooling components that improve the
PUE index, such improvements are often circumscribed to the huge
data centers run by large cloud companies. Even stronger effort is
needed to improve the data center computational efficiency, as servers
are today highly underutilized, with typical operating range between
10% and 30%. In this respect, advancements are needed both to
improve the energy-efficiency of servers and to dynamically
consolidate the workload on fewer, and better utilized, servers.
Another avenue for optimization has been opened by the
increasing adoption of network virtualization and Software
Defined Networks (SDNs). The goal is not only to increase
the utilization of network components, but also to help migrate
portions of workloads across remote data centers to exploit the
variability of electricity prices or the availability of renewable
energy. In-Cloud Resiliency is another interesting topic,
originating from the high and increasing costs required to match
reliability and fault-tolerance requirements. In-Cloud Resiliency
refers to the possibility of using cloud resources and technology as a
means to achieve resiliency goals while reducing the need for failover
capacity and redundant infrastructures. This special issue will be an
excellent venue to help the community analyze the current state,
determine future goals, and define architectures and technologies
that will foster the adoption of greener and more efficient cloud
resources.
Topics of interest include but are not limited to:
o Physical efficiency of data centers and cloud infrastructures
o Energy- and cost-efficient cloud architectures
o Computational efficiency of data centers and cloud infrastructures
o Workload characterization and optimization
o Use of virtualization to improve the utilization of cloud resources
o Dynamic workload consolidation
o Efficient balancing of applications and virtual machines
o Energy-efficient resource scheduling and optimization
o Energy-efficient computation
o Energy-aware data storage
o Energy-aware resource control and monitoring
o Use of DCIM tools to automate data center management
o Energy-aware use of DCIM tools
o Adoption of green energy to empower data centers and -loud infrastructures
o Energy and cost-efficient network virtualization
o Energy and cost-efficient usage of Software Defined Networks
o Efficient management of geographically distributed data centers
o Energy and cost-efficient reliability and resiliency in cloud
computing and data centers
o Energy-aware data scheduling, monitoring, auditing in cloud
computing and data centers
Important Dates
Paper submission: November 30, 2014
First Round Decisions: January 31, 2015
Major Revisions Due (if needed): March 15, 2015
Final Decisions: May 01, 2015
Special Issue Date: As determined by the production queue.
Paper Submission
Authors are invited to submit unpublished and original work to the
IEEE Transactions on Cloud Computing (TCC), Special Issue on Green and
Energy-Efficient Cloud Computing. If the paper is extended from an
initial work, the submission must contain at least 50% new material
that can be qualified as "brand" new ideas and results. The paper must
be in the IEEE TCC format, namely 14 double-column pages or 30
single-column pages (Note: All regular paper page limits
include references and author biographies). Please note that the
double-column format will translate more readily into the final
publication format. A double-column page is defined as a 7.875"?10.75"
page with 10-point type, 12-point vertical spacing, and 0.5
inch margins. A single-column page is defined as an 8.5"?11"
page with 12-point type and 24-point vertical spacing,
containing approximately 250 words. All of the margins should be one
inch (top, bottom, right and left). These length limits are taking
into account reasonably-sized figures and references.
Papers must be submitted using the submission system:
https://mc.manuscriptcentral.
issue option "SI-GreenCloud."
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