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@icar.cnr.it
Samee U. Khan, North Dakota State University, USA, samee.khan@ndsu.edu
Ricardo Bianchini, Rutgers University and Microsoft, USA, ricardob@cs.rutgers.edu
Editor in Chief
Rajkumar Buyya, The University of Melbourne, Australia, rbuyya@unimelb.edu.au
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 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.
