[HTCondor-users] CFP on Big Data and Cloud Performance (DCPerf'16) (due on Feb 7)

[Robert Birke <birke@xxxxxxxx>]

(We apologize if you receive multiple copies of this email)

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ÂÂÂÂÂÂÂÂÂ Call for Papers - Submission Due Date: February 7, 2016
ÂThe 6th International Workshop on Big Data and Cloud Performance (DCPerfâ16)
ÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ Naga, Japan, USA, June 27, 2016
ÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ http://www.zurich.ibm.com/dcperf16
ÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ
ÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ in conjunction with ICDCS'16:

ÂÂ The 36th IEEE International Conference on Distributed Computing Systems
ÂÂÂÂÂÂÂÂÂÂÂÂ http://www-higashi.ist.osaka-u.ac.jp/icdcs2016/


Cloud data centers are the backbone infrastructure for tomorrow's information
technology. Their advantages 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 services present a
unique class of challenges 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
==================

Topics of interest include (but are not limited to):
- Big Data applications and Services
ÂÂÂ Emerging applications
ÂÂÂ Programing paradigm
ÂÂÂ Platforms
ÂÂÂ Empirical studies
- Data Center systems
ÂÂÂ Novel architectures
ÂÂÂ Resource allocation
ÂÂÂ Content distribution
ÂÂÂ Evaluation/modeling methodology
- Big Data and Cloud PerformanceÂ
ÂÂÂ Cost
ÂÂÂ Power
ÂÂÂ Reliability
ÂÂÂ Performance evaluation/modeling
- Big Data in Cloud
ÂÂÂ Intra/Inter communication
ÂÂÂ Network Protocols
ÂÂÂ Security
ÂÂÂ Real-time analytics

Important Dates
===============

Paper submission:ÂÂÂÂÂÂÂÂÂÂÂÂÂÂÂ February 7, 2016
Notification of acceptance:ÂÂÂÂÂÂÂÂ March 4, 2016
Final manuscript due:ÂÂÂÂÂÂÂÂÂÂÂÂÂ April 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


General Chair
=============

Xiaoyun Zhu, FutureWei Technologies, USA

TPC Chair
=========

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