CALL FOR PAPERS
6th Cloud Control Workshop (CloudControl6)
In conjunction with IEEE/ACM UCC 2014 in London, Dec 8-11, 2014
www.cloudresearch.org/ workshops/6th
Paper submissions: 25 July, 2014 (firm, no extensions)
Notification of acceptance: 29 August, 2014
Early registration deadline (main UCC 2014 registration): 29 September, 2014
Cloud computing has become the dominant paradigm to fulfill compute
and storage needs while hiding the underlying complexity of resource
management. However, under the hood, many parameters at both software
and hardware level need to be controlled to ensure the reliability,
performance, and energy efficiency of cloud applications. Furthermore,
workload variability and software heterogeneity make optimal parameter
selection complex, which combined with the large scale of clouds call
for distributed resource management solutions.
The workshop is aimed to foster multidisciplinary research in Cloud
Control, leveraging expertise in areas such as distributed systems,
control theory, autonomic computing, systems management, mathematical
statistics, energy management, and performance management. By
providing an understanding of the research challenges ahead and by
enabling multi-disciplinary research collaborations, the ambition is
to shape the future of cloud management.
The 6th Cloud Control Workshop is held in conjunction with the 7th
IEEE/ACM Conference on Utility and Cloud Computing (UCC 2014).
Expected attendees are leading researchers from any scientific
discipline with potential to contribute to this multidisciplinary
topic.
Workshop Format. For the first time in the workshop series, the
workshop is open for contributed papers. The workshop will include
invited and contributed presentations as well as discussion sessions.
Topics
Relevant topics are cloud management methods, systems, and principles
including any methods from other disciplines supporting the
realization of management systems. Target clouds include the whole
range of architectures, spanning from single cloud datacenters to
highly distributed telecom or mobile clouds. Examples topics are:
* Management of cloud resources (compute, storage, network, etc)
* Cloud scheduling
* Scalability and capacity autoscaling (elasticity management)
* Differentiated quality of service
* Resource overbooking
* High availability and reliability
* Managing complex cloud applications
* Cloud simulation
* Cloud workload modeling, prediction, and generation
* Performance management and QoS
* Energy-efficient resource provisioning
* Control theory for cloud management
* Autonomic computing for cloud management
* Machine learning for cloud management
Workshop Details
Paper format. Contributed papers should be of maximum 6 pages in
length (in IEEE format). Additional pages may be purchased subject to
approval by the proceedings chair.
Paper submission. For further instructions and submission system
access, please visit the workshop website at
www.cloudresearch.org/ workshops/6th
Paper selection. Contributed papers will be selected based on reviews
provided by the workshop?s Program Committee. Evaluation criteria
include novelty, scientific quality, and relevance to the workshop
topic.
Proceedings. Accepted papers will be published by IEEE in the main UCC
2014 proceedings. For inclusion in the workshop program and the
conference proceedings, at least one author of each accepted
submission must register and attend the workshop.
Venue
Hilton London Paddington Hotel, London, UK
Organizing Committee:
Erik Elmroth, Ume? University, Sweden (Workshop chair)
Maria Kihl, Lund University, Sweden (Workshop co-chair)
Martina Maggio, Lund University, Sweden (Publicity)
Per-Olov ?stberg, Ume? University, Sweden (Publicity)
Cristian Klein, Ume? University, Sweden (Proceedings)
Ahmed Ali-Eldin, Ume? University, Sweden (Proceedings)
Alessandro Papadopoulos, Lund University, Sweden (Social)
Program Committee:
Samuli Aalto, Aalto University, Finland
Tarek Abdelzaher, University of Illinois at Urbana Champaign, USA
Karl-Erik ?rz?n, Lund University, Sweden
Peter Bodik, Microsoft Research, USA
Ivona Brandic, Vienna University of Technology, Austria
David Breitgand, IBM Haifa Research Lab, Israel
Tommaso Cucinotta, Alcatel-Lucent Bell Laboratories, Ireland
Schahram Dustdar, Vienna University of Technology, Austria
Johan Eker, Ericsson Research, Sweden
Anshul Gandhi, Stony Brook University, USA
Francisco Hern?ndez-Rodriguez, Ume? University, Sweden
Geir Horn, University of Oslo, Norway
Ignacio Llorente, Universidad Complutense de Madrid, Spain
Omer Rana, Cardiff University, UK
Anders Robertsson, Lund University, Sweden
Rizos Sakellariou, University of Manchester, UK
Rolf Stadler, Royal Institute of Technology, Sweden
Giovanni Toffetti, IBM Haifa Research Lab, Israel
Johan Tordsson, Ume? University, Sweden
Simon Tuffs, simontuffs .com, USA
Bhuvan Urgaonkar, Penn State University, USA
Vladimir Vlassov, Royal Institute of Technology, Sweden
Adam Wierman, Caltech, US
John Wilkes, Google, USA
Ramin Yahyapour, University of G?ttingen, Germany
Jianguo Yao, Shanghai Jiao Tong University, China
Xiaoyun Zhu, VMware inc., USA
6th Cloud Control Workshop (CloudControl6)
In conjunction with IEEE/ACM UCC 2014 in London, Dec 8-11, 2014
www.cloudresearch.org/
Paper submissions: 25 July, 2014 (firm, no extensions)
Notification of acceptance: 29 August, 2014
Early registration deadline (main UCC 2014 registration): 29 September, 2014
Cloud computing has become the dominant paradigm to fulfill compute
and storage needs while hiding the underlying complexity of resource
management. However, under the hood, many parameters at both software
and hardware level need to be controlled to ensure the reliability,
performance, and energy efficiency of cloud applications. Furthermore,
workload variability and software heterogeneity make optimal parameter
selection complex, which combined with the large scale of clouds call
for distributed resource management solutions.
The workshop is aimed to foster multidisciplinary research in Cloud
Control, leveraging expertise in areas such as distributed systems,
control theory, autonomic computing, systems management, mathematical
statistics, energy management, and performance management. By
providing an understanding of the research challenges ahead and by
enabling multi-disciplinary research collaborations, the ambition is
to shape the future of cloud management.
The 6th Cloud Control Workshop is held in conjunction with the 7th
IEEE/ACM Conference on Utility and Cloud Computing (UCC 2014).
Expected attendees are leading researchers from any scientific
discipline with potential to contribute to this multidisciplinary
topic.
Workshop Format. For the first time in the workshop series, the
workshop is open for contributed papers. The workshop will include
invited and contributed presentations as well as discussion sessions.
Topics
Relevant topics are cloud management methods, systems, and principles
including any methods from other disciplines supporting the
realization of management systems. Target clouds include the whole
range of architectures, spanning from single cloud datacenters to
highly distributed telecom or mobile clouds. Examples topics are:
* Management of cloud resources (compute, storage, network, etc)
* Cloud scheduling
* Scalability and capacity autoscaling (elasticity management)
* Differentiated quality of service
* Resource overbooking
* High availability and reliability
* Managing complex cloud applications
* Cloud simulation
* Cloud workload modeling, prediction, and generation
* Performance management and QoS
* Energy-efficient resource provisioning
* Control theory for cloud management
* Autonomic computing for cloud management
* Machine learning for cloud management
Workshop Details
Paper format. Contributed papers should be of maximum 6 pages in
length (in IEEE format). Additional pages may be purchased subject to
approval by the proceedings chair.
Paper submission. For further instructions and submission system
access, please visit the workshop website at
www.cloudresearch.org/
Paper selection. Contributed papers will be selected based on reviews
provided by the workshop?s Program Committee. Evaluation criteria
include novelty, scientific quality, and relevance to the workshop
topic.
Proceedings. Accepted papers will be published by IEEE in the main UCC
2014 proceedings. For inclusion in the workshop program and the
conference proceedings, at least one author of each accepted
submission must register and attend the workshop.
Venue
Hilton London Paddington Hotel, London, UK
Organizing Committee:
Erik Elmroth, Ume? University, Sweden (Workshop chair)
Maria Kihl, Lund University, Sweden (Workshop co-chair)
Martina Maggio, Lund University, Sweden (Publicity)
Per-Olov ?stberg, Ume? University, Sweden (Publicity)
Cristian Klein, Ume? University, Sweden (Proceedings)
Ahmed Ali-Eldin, Ume? University, Sweden (Proceedings)
Alessandro Papadopoulos, Lund University, Sweden (Social)
Program Committee:
Samuli Aalto, Aalto University, Finland
Tarek Abdelzaher, University of Illinois at Urbana Champaign, USA
Karl-Erik ?rz?n, Lund University, Sweden
Peter Bodik, Microsoft Research, USA
Ivona Brandic, Vienna University of Technology, Austria
David Breitgand, IBM Haifa Research Lab, Israel
Tommaso Cucinotta, Alcatel-Lucent Bell Laboratories, Ireland
Schahram Dustdar, Vienna University of Technology, Austria
Johan Eker, Ericsson Research, Sweden
Anshul Gandhi, Stony Brook University, USA
Francisco Hern?ndez-Rodriguez, Ume? University, Sweden
Geir Horn, University of Oslo, Norway
Ignacio Llorente, Universidad Complutense de Madrid, Spain
Omer Rana, Cardiff University, UK
Anders Robertsson, Lund University, Sweden
Rizos Sakellariou, University of Manchester, UK
Rolf Stadler, Royal Institute of Technology, Sweden
Giovanni Toffetti, IBM Haifa Research Lab, Israel
Johan Tordsson, Ume? University, Sweden
Simon Tuffs, simontuffs .com, USA
Bhuvan Urgaonkar, Penn State University, USA
Vladimir Vlassov, Royal Institute of Technology, Sweden
Adam Wierman, Caltech, US
John Wilkes, Google, USA
Ramin Yahyapour, University of G?ttingen, Germany
Jianguo Yao, Shanghai Jiao Tong University, China
Xiaoyun Zhu, VMware inc., USA
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