[hpc-announce] CFP Energy Aware Resource Management and Scheduling (EARMS) special issue of Sustainable Computing: Informatics and Systems (SUSCOM)

earms earms at lamar.colostate.edu
Mon Oct 7 15:23:18 CDT 2013

 Special Issue of Sustainable Computing: Informatics and Systems 
 (SUSCOM) on Energy-Aware  Resource Management and Scheduling (EARMS)

 Scope: The growing scale of High Performance Computing (HPC)  systems 
 and data centers has made issues related  to power  consumption,  air 
 conditioning,  and  cooling  infrastructures  critical concerns  in 
 terms  of efficiency,  operational  cost,  reliability,  energy  
 conservation,  and  environmental  impact.  High-end  HPC systems today  
 consume  several  megawatts  of power,  enough to power small  towns,  
 and are, in fact,  soon approaching  the  limits  of the  power  
 available  to them.  Furthermore,   the  costs  of powering  these  HPC 
 systems runs into millions of dollars per year, and are increasing as 
 these systems target  sustained  petascale and plan for exascale. Adding 
 to the concerns due to power and cooling requirements and associated 
 costs, empirical data show that every 10 degree Celsius increase in 
 temperature results in a doubling of the system failure rate, which 
 reduces the reliability of these expensive systems. At the same time, 
 the increasing proliferation  of virtualization  technologies  and  the  
 consolidation  of computing  platforms  for data-  and compute-intensive 
 applications  are  providing  new opportunities  to use  advanced  
 scheduling  and  resource management techniques for higher utilization 
 and energy savings. As a result, resource management policies that 
 consider the tradeoffs between  energy usage and performance, 
 throughput,  and other QoS requirements, have become important research 
 challenges that must be addressed.

 In this special issue, we seek original work focused on addressing new 
 research and development  challenges, consisting  of developing  new 
 scheduling  techniques  and advanced  resource  management  solutions  
 in green computing for HPC systems.

 Specific topics include, but not limited to, the following:

 Energy-aware  task scheduling heuristics
 Energy-aware  resource management infrastructures
 Thermal-aware  task scheduling heuristics
 Thermal-aware  resource management infrastructures
 Energy and thermal-aware  scheduling for fault-tolerance
 Enhanced performance, energy, and thermal  models for energy-aware 
 Resource management in power/energy constrained systems
 Energy efficiency and virtualization
 Energy, performance, quality of service, and other resource tradeoffs
 Energy-aware scheduling for heterogeneous systems
 Energy-aware scheduling for parallel and distributed systems
 Energy-efficient scheduling of hardware accelerators (FPGAs, GPUs, 
 Energy-aware scheduling for different computing paradigms: cluster, 
 grid, cloud, and datacenters
 Submission Details:

 General information  for submitting papers  to SUSCOM can be found at 
 http://ees.elsevier.com/suscom/ (please note the “Guide for Authors” 
 link). Submissions to this Special Issue (SI) should be made using 
 Elsevier's editorial system  at the journal website 
 (http://ees.elsevier.com/suscom/, under the “submit paper” link). Please 
 make sure to select the “SI: En. Aware Sched.” option for the type of 
 the paper during the submission process. All submissions must be 
 original and  may not be under review. A submission based on one or more 
 papers that appeared elsewhere has  to include major value-added 
 extensions over what appeared previously (at least 30% new conceptual 
 material). Authors are requested to attach to the submitted  paper such 
 earlier articles and a summary document explaining the enhancements made 
 in the journal version. All submitted papers will be peer reviewed using 
 the normal standards of SUSCOM. By submitting a paper to this special 
 issue, the authors agree to review at least one paper within the time 
 frame of the SI.

 Important Dates:

 Title and keywords  due date (by email to EARMS at colostate.edu): January 
 15, 2014
 Manuscript due date (on http://ees.elsevier.com/suscom/): February 01, 
 First decision notification: May 01, 2014
 Revised manuscript due date: June 01, 2014
 Final decision notification: July 01, 2014
 Tentative publication schedule: October 2014
 Special Issue Guest Editors:

 Anne Benoit, ENS-Lyon, France
 Ryan Friese, Colorado State University, U.S.A
 H.J. Siegel, Colorado State University, U.S.A

 Questions may be sent to EARMS at colostate.edu

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