[hpc-announce] IEEE TCC -- SI Green Cloud

[Samee U. Khan 恩山明]

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