[hpc-announce] CFP on Big Data and Cloud Performance (DCPerf’16)

[Peter Mueller]

The 6th International Workshop on Big Data and Cloud Performance 
(DCPerf’16) 

Nara, Japan, June 27, 2016 

www.zurich.ibm.com/dcperf16

Cloud Data centers are the backbone infrastructure for tomorrow's 
information 
technology. Their advant ages are efficient resource provisioning and low 
operational costs for supporting a wide range of computing needs, be it in 

business, scientific or mobile/pervasive environments. Because of the 
rapid 
growth in user-defined and user-generated programs, applications and 
files, 
the range of services provided at data centers will expand tremendously 
and unpredictably. Particularly, Big Data applications and service present 
a 
unique class of challenge s in Cloud. The high volume of mixed workloads 
and 
the diversity of services offered render the performance optimization of 
data 
centers ever more challenging. Moreover, important optimization criteria, 
such 
as scalability, reliability, manageability, power efficiency, area 
density, 
operating cost and many more, often are even mutually exclusive to some 
extent. 
On top of that, the increasing mobility of users across geographically 
distributed areas adds another dimension to optimizing big data and cloud 
performance. 
The goal of this workshop is to promote a community-wide discussion to 
find 
and identify suitable strategies to enable effective and scalable 
performance 
optimizations. We are looking for papers that present new techniques, 
introduce new theory and methodologies, propose new  research directions, 
or 
discuss strategies for resolving open performance problems on Big Data in 
Clouds. 
Topics of interest include (but are not limited to): 

Big Data applications and Services 
- Emerging applications 
- Programing paradigm 
- Platforms 
- Empirical studies 

Data Center systems 
- Novel architectures 
- Resource allocation 
- Content distribution 
- Evaluation/modeling methodology 

Big Data and Cloud Performance 
- Cost 
- Power 
- Reliability 
- Performance evaluation/modeling 
 
Big Data in Cloud 
- Intra/Inter communication 
- Network Protocols 
- Security 
- Real-time analytics

Important dates: 
Paper Registration and Submission: Feb 7, 2016 
Notification of Acceptance:        Mar 4, 2016 
Final Manuscript Due:              Apr 18, 2016 

Submission Guideline: 
Manuscripts must be limited to 6 pages in IEEE 8.5x11 format. Accepted 
papers 
will be published in the combined ICDCS 2016 Workshop proceedings and will 
be 
submitted to IEEE Xplore. Manuscripts should be submitted via 

https://easychair.org/conferences/?conf=dcperf16

Organizing Committee:
General Chair 
- Xiaoyun Zhu, FutureWei Technologies, USA 

TPC Chairs 
- Xiaobo Zhou, University of Colorado, USA 
- Lydia Y. Chen, IBM Zurich Research Lab, Switzerland

Publicity Chair 
- Robert Birke, IBM Zurich Research Lab, Switzerland 

Steering Committee 
Jian-Nong Cao, Hong Kong Polytechnic University, Hong Kong; Alok 
Choudhary, 
Northwerstern University, USA; Peter Muller, IBM Research Zurich Lab, 
Switzerland;  Martin Schmatz, IBM Research Zurich Lab, Switzerland; 
Anand Sivasubramaniam, Penn State University, USA; Larry Xue, Arizona 
State 
University, USA. 
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