Monday 31 March 2014

ICPADS 2014 CALL FOR PAPERS

ICPADS 2014 CALL FOR PAPERS
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Established in 1992, ICPADS has been a major international forum for
scientists, engineers, and users to exchange and share their experiences,
new ideas, and latest research results on all aspects of parallel and
distributed computing systems. The 20th IEEE International Conference on
Parallel and Distributed Systems (ICPADS 2014) will be held in Hsinchu,
Taiwan, December 16 ? 19, 2014. As the inaugurating site of ICPADS, Hsinchu
is a city with a blend of technology innovations and traditional cultures.
The conference venue, MXIC Building, is located at National Tsing Hua
University, one top university in Taiwan with outstanding academic programs
as well as a spacious verdant campus. Contributions are solicited in all
areas of parallel and distributed systems research and applications.

Topics of interest include, but are not limited to:
? Parallel and Distributed Applications and Algorithms
? Cloud OS, Middleware, Toolkits, and Applications
? Data Intensive Computing and Data Centre Architecture
? Big Data Platforms
? Web-Based Computing and Service-Oriented Architecture
? Multi-core and Multithreaded Architectures
? Virtualization Techniques
? Resource Provision, Management, and Scheduling
? Security and Privacy
? Cluster and Grid Computing
? Power-Aware and Green Computing
? Internet of Things
? Peer-to-Peer Computing
? Wireless and Mobile Computing
? Ad Hoc and Sensor Networks
? Performance Modeling and Evaluation
? Communication and Networking Systems
? Dependable and Trustworthy Computing and Systems
? Real-Time and Multimedia Systems
? High Performance Computational Biology and Bioinformatics
? Cyber-Physical Systems
? Operating Systems Distributed and Parallel Systems
? Embedded systems

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SUBMISSION INFORMATION
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Papers must be unpublished and must not be submitted for publication
elsewhere. All papers will be reviewed by Program Committee members and
other experts active in the field to ensure high quality and relevance to
the conference.?
Submissions should be in the PDF format and include an abstract, 5-10
keywords, and the e-mail address of the corresponding author. Each
submission must not exceed 8 pages in the IEEE 8.5" x 11" two-column format
with 10-12 point font, including tables and figures. Each submission should
be regarded as an undertaking that, should the submission be accepted, at
least one of the authors must register the paper and attend the conference
to present the work in order that the accepted paper can be included in the
IEEE digital library. The final version will be limited to 8 pages in the
IEEE proceeding format. Up to 2 extra pages may be purchased.

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PUBLICATION
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All accepted papers will be included in IEEE Xplore and indexed by EI. Best
Paper Award will be presented in the conference.

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IMPORTANT DATES
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? On-line submission system open: April 10, 2014
? Deadline for paper submissions: July 1, 2014
? Notification of paper acceptance: September 2, 2014
? Deadline for author registration: October 7, 2014
? Deadline of camera-ready version: October 11, 2014

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ORGANIZING COMMITEE
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General Co-Chairs
Prof. Dhabaleswar K. Panda, Ohio State University, USA
Prof. Jang-Ping Sheu, National Tsing Hua University, Taiwan

Program Co-Chairs
Prof. Yeh-Ching Chung, National Tsing Hua University, Taiwan
Prof. Yanmin Zhu, Shanghai Jiao Tong University, China

Workshop on Parallel Methods for Search & Optimization ParSearchOpt14

CALL FOR PAPERS

Workshop on Parallel Methods for Search & Optimization
ParSearchOpt14
July 18, 2014 ? Vienna, Austria

Workshop Homepage:
http://www.easychair.org/smart-program/VSL2014/ParSearchOpt-index.html

This workshop will take place during the "Vienna Summer of Logic 2014"
cluster of conferences
http://vsl2014.at/

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Important Dates
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Paper submission April 4, 2014
Notification May 2, 2014

Aims and Scope
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ParSearchOpt is the fourth workshop in this series. It is a continuation of
the CP 2011 "Workshop on Parallel Methods for Constraint Solving", the 2012
Shonan Meeting on "Parallel Methods for Constraint Solving and
Combinatorial Optimization", and the CPAIOR 2013 workshop on "Parallel
Methods for Combinatorial Search & Optimization".

In the last decade, with the development of multi-core workstations, the
availability of GPGPU-enhanced systems and the access to Grid platforms and
supercomputers worldwide, Parallel Programming reached mainstream
programming and appeared as a key issue in order to use in an efficient
manner the computing power at hand. With the move towards Exascale
computing during this decade, this trend will continue to gain importance.

Search methods and combinatorial optimization techniques are not isolated
from this phenomenon, as bigger computing power means the ability to attack
more complex combinatorial problems. In the last years several experiments
have been done to parallelize the execution of search methods such as SAT
solving, Constraint Programming and combinatorial optimization methods such
as Local Search, Meta-heuristics and Branch & Bound. However these works
have mostly been done for shared memory multi-core systems (i.e. with a few
cores) or for small PC clusters (a few machines). The next challenge is to
devise efficient techniques and algorithms for massively parallel computers
with tens or hundreds of thousands of cores in the form of heterogeneous
hybrid systems based on both multi-core processors and GPUs.

An important point is also for researchers working on the parallel search
and optimization in different fields to share their experience on both
theoretical and practical issues. This workshop is thus aimed to be a forum
for researchers willing to exchange ideas, theoretical frameworks, design
of algorithms and methods, implementation issues, experimental results and
to further boost this growing area of research through cross-fertilization.
We solicit papers on these topics, and welcome reports on work in progress,
work already presented in a different context, as well as position papers.

Paper Submissions
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Papers must be 15 pages plus references and use the Springer LNCS style.
Papers must be submitted through EasyChair:
https://www.easychair.org/conferences/?conf=parsearchopt14

Program Committee
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Salvador Abreu (Universidade de ?vora, CENTRIA)
Alejandro Arbelaez (INSIGHT Center for Data Analytics, University College
Cork)
Philippe Codognet (JFLI - CNRS / UPMC / University of Tokyo) - chair
Daniel Diaz (Universite de Paris-I)
Youssef Hamadi (Microsoft Research)
Ines Lynce (INESC-ID/IST, University of Lisbon)
Jean-Charles R?gin (University of Nice-Sophia Antipolis / I3S / CNRS)
Ashish Sabharwal (IBM Research)
Lakhdar Sais (CRIL, Universit? d'Artois)
Horst Samulowitz (IBM Research)
Vijay Saraswat (IBM)
Christian Schulte (KTH Royal Institute of Technology)
Meinolf Sellmann (IBM) - chair
Peter Stuckey (University of Melbourne)
Guido Tack (Monash University) - chair
Charlotte Truchet (LINA, UMR 6241, Universit? de Nantes)

IASDS 6th Workshop on Interfaces and Architectures for Scientific Data Storage

6th Workshop on Interfaces and Architectures for Scientific Data Storage
                             (IASDS)

                http://press3.mcs.anl.gov/iasds14/

                       September 9-12, 2014,
 held in conjunction with ICPP 2014 in Minneapolis, MN, USA

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          Paper Submission Deadline: April 7, 2014
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High-performance computing simulations and large scientific experiments
generate tens of terabytes of data, and these data sizes grow each year.
Existing systems for storing, managing, and analyzing data are being
pushed to their limits by these applications, and new techniques are
necessary to enable efficient data processing for future simulations and
experiments.

This workshop will provide a forum for engineers and scientists to
present and discuss their most recent work related to the storage,
management, and analysis of data for scientific workloads. Emphasis will
be placed on forward-looking approaches to tackle the challenges of
storage at extreme scale or to provide better abstractions for use in
scientific workloads.

Topics of interest include, but are not limited to:

* parallel file systems
* scientific databases
* active storage
* scientific I/O middleware
* extreme scale storage

Past Workshops:

* IASDS2013, Indianapolis: http://press3.mcs.anl.gov/iasds13/
* IASDS2012, Beijing: http://www.mcs.anl.gov/events/workshops/iasds12
* IASDS2011, Austin: http://www.mcs.anl.gov/events/workshops/iasds11
* IASDS2010, Crete: http://www.mcs.anl.gov/events/workshops/iasds10
* IASDS2009, New Orleans: http://www.mcs.anl.gov/events/workshops/iasds09

Important Dates:

  Paper Submission Deadline: Monday, April 7, 2014
  Author Notification:       Monday, May 12, 2014
  Final Manuscript Due:      Friday, June 15, 2014

Submission Info:

   Submissions should be formatted according to the IEEE standard double-column
   format with a font size 10 pt or larger. Each paper is limited to 10 pages
   in length. The submission site is:
   https://www.easychair.org/conferences/?conf=iasds2014

Workshop Chairs:

   John Jenkins, Mathematics and Computer Science Division,
                 Argonne National Laboratory (jenkins at mcs.anl.gov<http://mcs.anl.gov>)
   Dries Kimpe,  Mathematics and Computer Science Division,
                 Argonne National Laboratory (dkimpe at mcs.anl.gov<http://mcs.anl.gov>)

Program Committee:

   Javier Garcia Blas, Carolos III University.
   David Hart, University Corporation for Atmospheric Research.
   Jay Lofstead, Sandia National Laboratory.
   Ron Oldfield, Sandia National Laboratory.
   Yoshihiro Oyama, University of Electro-Communications.
   Philip Rhodes, University of Mississippi.
   Douglas Thain, University of Notre Dame.

Contact Information:

   Please contact iasds2014@easychair.org<mailto:iasds2014@easychair.org> if you have any questions.

2014 International Workshop on Big Data Analytics, Management and Storage (BDAMS-2014)

2014 International Workshop on Big Data Analytics, Management and Storage (BDAMS-2014)
To be held in conjunction with
The Third ASE International Conference on Big Data Science and Computing
http://www.scienceengineering.org/ase/conference/2014/bigdata/beijing/website/
August 4 - 7, 2014
Beijing, China


Paper Submission Deadline: May 15, 2014
Notification of acceptance: June 1, 2014
Camera-ready: June 15, 2014
Workshop date:  Aug. 4, 2014

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Big data has shown great capability in yielding extremely useful information and extraordinary potential in revolutionizing scientific discoveries and traditional commercial models. Numerous corporations started to utilize big data to understand their customers' behavior at a fine-grained level, rethink their business process workflow, and increase their productivity and competitiveness.  Scientists are using big data to make new discoveries that are not possible before. As the volume, velocity, variety, and veracity of big data keep increasing, we are facing significant challenges with respect to innovative big data management, efficient big data analytics and low-cost big data storage solutions.  This workshop aims to bring researchers and industry pioneers together to share their vision, discuss the ideas and demonstrate use cases on big data analytics, management and storage.

The topics of interest of this workshop include but are not limited to:
* Novel Computational and Programming Models for Big Data
* High Performance and Parallel Processing for Big Data
* Big Data processing with Accelerators/Coprocessors (GPU, APU, MIC)
* Effective Management of Commercial, Mobile and Social Big Data
* Effective Management of Big Data in Scientific Computing
* Workflow Optimization for Automate Big Data Analytics
* Database Management Challenges: SQL and NoSQL
* New Algorithms and Architectures for Big Data Analytics
* Scalable and Low-Cost Algorithms and Systems for Big Data Storage
* Software and Hardware Architectures for Real-Time Big Data Analytics
* Energy-efficiency of Big Data Analytics and Storage
* Use Case of Big Data for Commercial Applications
* Use Case of Big Data for Scientific Applications
* Case Studies of Big Data Project Deployments
* Industry Standards and Open Platforms for Big Data

All papers (in PDF format) should be submitted electronically using the workshop submission system (soon to be made available at http://bigdata2014beijing.scienceengineering.org/). The submission is limited to 6 pages and should follow the ASE Big Data Science 2014 - Beijing format requirements (Paper Styles).
All papers submitted to this workshop will be peer-reviewed and accepted based on their scientific merit and relevance to the workshop topics.  Each submission should be regarded as an undertaking that, should the paper be accepted, at least one of the authors must attend the workshop to present the work in order for the paper to be included in the ASE Digital Library.

Call for Papers: IEEE Transactions on Cloud Computing Special Issue on "Big Data Computing on Clouds".

Call for Papers:

IEEE Transactions on Cloud Computing Special Issue on "Big Data Computing
on Clouds".

Website: http://www.swinflow.org/si/tccbd.htm.


Big data is an emerging paradigm applied to datasets whose size or
complexity is beyond the ability of commonly used computer software and
hardware tools. Such datasets are often from various sources (Variety) yet
unstructured such as social media, sensors, scientific applications,
surveillance, video and image archives, Internet texts and documents,
Internet search indexing, medical records, business transactions and web
logs; and are of large size (Volume) with fast data in/out (Velocity). More
importantly, big data has to be of high value (Value) and establish trust
in it for business decision making (Veracity). Various technologies are
being discussed to support the handling of big data such as massively
parallel processing databases, scalable storage systems, cloud computing
platforms, and MapReduce.



As estimated by IDC, by 2020, about 40% data globally would be touched with
Cloud Computing. Besides, Cloud Computing provides strong storage,
computation and distributed capability in support of Big Data processing.
Therefore, there is a strong demand to investigate various challenges about
how to support Big Data processing by facilitating Cloud Computing
potential. This special issue will focus on this challenging topic.


*Topics*
Original and unpublished high-quality research results are solicited to
explore various challenging topics which include, but are not limited to:



?        Cloud Architecture for Big Data

?        Resource scheduling and SLA for Big Data on Cloud

?        Storage and computation management in Cloud for Big Data

?        Large-scale data intensive workflow in support of Big Data
processing on Cloud

?        Multiple source data processing and integration on Cloud

?        Virtualisation and visualisation of Big Data on Cloud

?        Fault tolerance and reliability for Big Data processing on Cloud

?        MapReduce with Cloud for Big Data processing

?        Big data application workflow management on Cloud

?        Distributed file storage system with Cloud for Big Data

?        Inter-cloud technology for Big Data

?        Security, privacy and trust in Big Data processing on Cloud

?        Green, energy-efficient models and sustainability issues in Cloud
for Big Data processing

?        Cloud infrastructure for social networking with Big Data

?        User friendly Cloud access for Big Data processing

?        Innovative Cloud data centre networking for Big Data

?        Wireless and mobility support in Cloud data centre for Big Data

?        Cloud and Big Data for Smart and Sustainable Cities



*Schedule*

Submission due date: November 15, 2014

Notification of acceptance: March 15, 2015

Submission of final manuscript: May 15, 2015

Publication date: 2nd Quarter, 2015 (Tentative)



*Submission & Major Guidelines*

The special issue invites original research papers that make significant
contributions to the state-of-the-art in "Big Data Computing on Clouds".
 The papers must not have been previously published or submitted for
journal or conference publications. However, the papers that have been
previously published with reputed conferences such as *IEEE BDSE 2014 (Big
Data Science and Engineering - http://www.swinflow.org/confs/bdse2014/
<http://www.swinflow.org/confs/bdse2014/>*) could be considered for
publication in the special issue if they contain significant number of "new
and original" ideas/contributions along with more than 49% brand "new"
material.  Every submitted paper will receive at least three reviews. The
editorial review committee will include well known experts in the area.



Submissions must be directly submitted via the IEEE TCC submission web site
at https://mc.manuscriptcentral.com/tcc-cs, and must follow instructions
for formatting and length listed there.

For additional information, please contact Jinjun.Chen@gmail.com.


*Selection and Evaluation Criteria*

-      Significance to the readership of the journal

-      Relevance to the special issue

-      Originality of idea, technical contribution, and significance of the
presented results

-      Quality, clarity, and readability of the written text

-      Quality of references and related work

-      Quality of research hypothesis, assertions, and conclusion





*Editor-in-Chief *
Rajkumar Buyya, The University of Melbourne, Australia



*Guest Editors*
     Jinjun Chen (Contact Person), Jinjun.Chen@gmail.com, University of
Technology Sydney, Australia
     Ivan Stojmenovic, ivan@site.uottawa.ca, University of Ottawa, Canada
     Irena Bojanova, ibojanova@umuc.edu, University of Maryland University
College, USA