[hpc-announce] Special Issue on "Resource Management in Virtualized Clouds" in "Scientific Programming" (SCI indexed)

[Zhihui Du]

Special Issue on "Resource Management in Virtualized Clouds" in "Scientific
Programming" (SCI indexed)

http://www.hindawi.com/journals/sp/si/860504/cfp/. 

 

Call for Papers

 

Resource management is critical in achieving high performance in Cloud
environments. Different from traditional parallel and distributed systems,
resource management in Clouds involves managing Virtual Machines (VMs) since
virtualization is a key technology in Clouds. Researchers have been
developing various strategies and techniques to address the resource
management issues encountered in virtualized Clouds. New strategies are
designed to consolidate VMs to improve resource utilization in Clouds. Many
schemes are implemented to improve running performance of VMs, such as I/O
response and inter-VM communications, in virtualized environments.
Monitoring and modelling techniques are developed to facilitate VM
management in Cloud settings. Energy-aware VM management frameworks are
proposed to save energy consumptions in Clouds. Resource management
frameworks are custom-designed to optimize the application- or
system-oriented performance for scientific, service, or big data
applications.

 

This special issue aims to report the latest scientific advances and
stimulate continuing research endeavors in resource management techniques
for virtualized Clouds. We cordially invite researchers and practitioners to
submit original research and development work.

 

Potential topics include, but are not limited to:

 

- VM consolidation strategies

- VM scheduling algorithms and frameworks

- I/O optimization in VMs

- Communication-aware VM management in Clouds

- Energy-aware VM management in Clouds

- Performance monitoring and modelling of VM executions in Clouds

- Security in VM management

- Resource management frameworks optimized for hosting scientific or
service-oriented applications in Clouds

- Optimizing resource management for processing big data applications in
Clouds

- Elastic resource allocations for large-scale applications in Clouds

 

Authors can submit their manuscripts via the Manuscript Tracking System at
http://mts.hindawi.com/submit/journals/sp/rmvc/.

 

Manuscript Due Friday, 22 January 2016

First Round of Reviews Friday, 15 April 2016

Publication Date Friday, 10 June 2016

 

Lead Guest Editor

Ligang He, University of Warwick, Coventry, UK

 

Guest Editors

Laurence T. Yang, St. Francis Xavier University, Antigonish, Canada

Zhihui Du, Tsinghua University, Beijing, China

Florin Pop, University Politehnica of Bucharest, Bucharest, Romania

 

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