[hpc-announce] CFP: IEEE TCC SI on Green end Energy-Efficient Cloud Computing

Carlo Mastroianni mastroianni at icar.cnr.it
Mon Sep 29 02:59:46 CDT 2014

[Apologies if you got multiple copies of this email]


IEEE Transactions on Cloud Computing

Special Issue on Green and Energy-Efficient Cloud Computing



Guest Editors

Carlo Mastroianni, ICAR-CNR, National Research Council of Italy,
mastroianni at icar.cnr.it

Samee U. Khan, North Dakota State University, USA, samee.khan at ndsu.edu

Ricardo Bianchini, Rutgers University and Microsoft, USA,
ricardob at cs.rutgers.edu


Editor in Chief

Rajkumar Buyya, The University of Melbourne, Australia,
rbuyya at unimelb.edu.au



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 Cloud 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.com/tcc-cs, by selecting the special issue
option "SI-GreenCloud."

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