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[Big Data 2013] Big Data 2013 CFP

Apologize if you receive multiple copies from other sources.

Big Data Workshop 2013: The 1st International Workshop on Big Data

Location: Beijing, China, October 10 - 12, 2013

Co-Sponsored by:
IEEE Computer Society (Technically Co-sponsored),
IEEE Technical Committee on Simulation,
IEEE CS Task Force on Networked Mobile Systems,
Beijing Jiaotong University, China
University of Louisville, USA
Embedded Pervasive Computing Lab, HUST, China

Patrons: AT&T, InfoBeyond, Teradata, Comrise, Rainstor, and Huawei

CyberC Facebook
http://www.facebook.com/groups/nasirsyed.utp/

CyberC Weibo
http://weibo.com/u/2500282610

Important Dates
May 25, 2013 - Conference Paper Submission Deadline
June 15, 2013 - Notification of Acceptance/Rejection & Registration Starts
August 1, 2013 - Camera-Ready Paper Submission Due & Registration Due

Contact:
For more information about the conference, please visit www.CyberC.org  or =
contact us at Papers@CyberC.org.=20

Big Data recently has become a new ubiquitous term to describe large datase=
ts that are challenging to store, search, share, visualize, and analyze. Ef=
fective management and analysis of the Big Data would bring great benefits =
and unique opportunities to the users. However, the conventional methods ar=
e limited on providing desirable operational functions on Big Data. The Big=
 Data workshop 2013 (BigData=E2=80=9913) is to promote research works in th=
is emerging area of Big Data-inspired computing, networks, systems, and app=
lications. BigData=E2=80=9913, held in conjunction with CyberC 2013, aims t=
o provide a leading forum for exchanging and sharing experiences, new ideas=
, and research results on broad topics on Big Data Research, Development, a=
nd Applications. It solicits high quality papers that illustrate novel Big =
Data models, architecture and infrastructure, management, search and proces=
sing, security and privacy, applications, surveys and industrial experience=
s.=20
Authors of Big Data workshop 2013 are promoted to freely enjoy CyberC 2013 =
and Big Data Summits. Both of the events are co-sponsored and participated =
by a number of industry giants.
Authors are cordially invited to submit original research papers in any asp=
ects of Big Data with emphasis on but are not limited to the following topi=
cs:=20
Big Data Theory and Foundation
=E2=80=A2	Theoretical and Computational Models for Big Data
=E2=80=A2	Information Quantitative and Qualitative for Big Data
=E2=80=A2	Theories and Methodologies for Big Data Processing=20
=E2=80=A2	Architectures and Design of Big Data Processing Systems
Big Data Infrastructure
=E2=80=A2	Cloud/Grid/Stream Computing for Big Data
=E2=80=A2	High Performance/Parallel Computing Platforms for Big Data
=E2=80=A2	System Architectures, Platforms, Design, and Deployment for Big D=
ata
=E2=80=A2	Energy-efficient Computing for Big Data
=E2=80=A2	Programming Models and Environments for Cluster, Cloud, and Grid =
Computing
Big Data Management
=E2=80=A2	Advanced Database and Web Applications for Big Data
=E2=80=A2	Data Model and Structure for Big Data
=E2=80=A2	Data Preservation and Provenance
=E2=80=A2	Interfaces to Database Systems and Analytics Software
=E2=80=A2	Data and Information Integration and Fusion for Big Data
=E2=80=A2	Data Management for Mobile, Pervasive and Grid Computing
=E2=80=A2	Scientific and Social Data Management and Workflow Optimization
Big Data Search and Processing
=E2=80=A2	Big Data Search Architecture, Scalability, and Efficiency
=E2=80=A2	Algorithms and Architectures for Big Data Search, Mining and Proc=
essing
=E2=80=A2	Search and Store Big Data in Distributed, Grid and Cloud Systems
=E2=80=A2	Semantic-based Big Data Analytics and Processing
=E2=80=A2	Multi-Structured Big Data Fusion and Integration
=E2=80=A2	Ontology Representations and Processing in Big Data
=E2=80=A2	Machine Learning Methods for Big Data
Big Data Protection, Security and Privacy
=E2=80=A2	Threat and Intrusion Detection for High Speed Networks
=E2=80=A2	High Performance and Efficiency Data Cryptography
=E2=80=A2	Privacy Threats Analysis for Big Data Systems
=E2=80=A2	Visualizing Large Scale Security Data
=E2=80=A2	Security and Risk in Big Data Processing
=E2=80=A2	Trust, Reputation and Recommendation Systems for Big Data Systems
=E2=80=A2	Privacy Preservation for Distributed Big Data Computing System
Big Data Applications
=E2=80=A2	Big Data Applications and Software in Science, Engineering, Healt=
hcare, Finance, Business, Transportation, Telecommunications,
=E2=80=A2	Big Data Analytics in Small Business Enterprises, Public Sector a=
nd Government.
=E2=80=A2	Big Data Industry Standards
=E2=80=A2	Development and Deployment Experiences with Big Data Systems.

Technical Program Committee
=09
Shared with CyberC 2013

Submissions:
Authors are invited to submit original technical papers to http://edas.info=
/ by selecting =E2=80=9CBig Data 2013=E2=80=9D.=20
Electronic submission to papers@cyberc.org with title of Big Data 2013 Subm=
ission is also accepted.
Please DO NOT submit both ways.=20

Manuscript Guidelines:
All submitted manuscripts should be prepared as technical papers and may no=
t exceed 8 letter size (8.5 x 11) pages including figures, tables and refer=
ences using the IEEE format for conference proceedings (print area of 6-1/2=
 inches (16.51 cm) wide by 8-7/8 inches (22.51 cm) high, two-column format =
with columns 3-1/16 inches (7.85 cm) wide with a 3/8 inch (0.81 cm) space b=
etween them, single-spaced 10-point Times fully justified text). For more i=
nformation please see ftp://pubftp.computer.org/Press/Outgoing/proceedings/=
=2E The templates in word are:
=E2=80=A2	Instruct8.5x11x2.doc 254 KB 8/22/2008 12:00:00 AM
=E2=80=A2	Instruct8.5x11x2.pdf 276 KB 8/22/2008 12:00:00 AM
and that in Latex are:
=E2=80=A2	IEEE_CS_Latex8.5x11x2.zip 766 KB 11/11/2008 12:00:00 AM
=E2=80=A2	IEEE_CS_Latex8.5x11x3.zip 874 KB 8/19/2011 9:59:00 AM

Submissions not conforming to these guidelines may be returned without revi=
ew. The submitted manuscripts can be prepared in Word, or Latex using the I=
EEE templates, but authors should finally submit the manuscript in PDF form=
at and make sure that the file will print on a printer that uses letter siz=
e (8.5 x 11) paper. The official language of the meeting is English.


Paper Acceptance

Manuscripts should present the current research in the areas identified in =
the call for papers. All submitted manuscripts will be reviewed by experts =
in the fields and will be judged from the aspects of problem significance, =
contributions, originality, correctness, technical strength, quality of pre=
sentation, and relevance to the conference attendees. Papers will be accept=
ed with Regular Papers and Short Papers with maximal 8 pages and 4 pages in=
 the final version respectively.    =20
=20
Publications

All accepted and presented papers, including the workshops=E2=80=99 papers,=
 will be published by IEEE Computer Society's Conference Publishing Service=
s (CPS) and are included in the IEEE Xplore database. They will further arr=
anged for indexing through IEE INSPEC, EI (Compendex), and Thomson ISI. Aut=
hors of accepted papers, or at least one of them, should register and prese=
nt their work at the conference, otherwise their papers will be removed fro=
m the digital libraries of IEEE Xplore and EI after the conference..
---------------------------------------------------------------------------=
-
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Deadline Extension: 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
we apologize if you receive multiple copies of this message =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS 2013 Workshop on Middleware for HPC and Big Data Systems MHPC '13 as part of Euro-Par 2013, Aachen, Germany =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Date: August 27, 2012 Workshop URL: http://m-hpc.org Springer LNCS SUBMISSION DEADLINE: June 10, 2013 - LNCS Full paper submission (extended) June 28, 2013 - Lightning Talk abstracts SCOPE Extremely large, diverse, and complex data sets are generated from scientific applications, the Internet, social media and other applications. Data may be physically distributed and shared by an ever larger community. Collecting, aggregating, storing and analyzing large data volumes presents major challenges. Processing such amounts of data efficiently has been an issue to scientific discovery and technological advancement. In addition, making the data accessible, understandable and interoperable includes unsolved problems. Novel middleware architectures, algorithms, and application development frameworks are required. In this workshop we ar...

Deadline Extension: 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
we apologize if you receive multiple copies of this message =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS 2013 Workshop on Middleware for HPC and Big Data Systems MHPC '13 as part of Euro-Par 2013, Aachen, Germany =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D Date: August 27, 2012 Workshop URL: http://m-hpc.org Springer LNCS SUBMISSION DEADLINE: June 10, 2013 - LNCS Full paper submission (extended) June 28, 2013 - Lightning Talk abstracts SCOPE Extremely large, diverse, and complex data sets are generated from scientific applications, the Internet, social media and other applications. Data may be physically distributed and shared by an ever larger community. Collecting, aggregating, storing and analyzing large data volumes presents major challenges. Processing such amounts of data efficiently has been an issue to scientific discovery and technological advancement. In addition, making the data accessible, understandable and interoperable includes unsolved problems. Novel middleware architectures, algorithms, and application development frameworks are required. In this workshop we ar...

Deadline Extension: 2013 Workshop on Middleware for HPC and Big Data Systems (MHPC'13)
we apologize if you receive multiple copies of this message =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D CALL FOR PAPERS 2013 Workshop on Middleware for HPC and Big Data Systems MHPC '13 as part of Euro-Par 2013, Aachen, Germany =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D=3D= =3D=3D=3D=3D=3D=3D=3D=3...

What is big data?
Every where I look Ingers/Actian is talking up big data. I had no idea what that is and I just spent some tiome googling. I am thinking big data isnt data at all. It seems to be more like low-grade ore with very little data in it. Is that what all this fuss is about? Straining tiny amounts of info from an ocean of dross? Like scanning every tweet to count the number of times someone mentions cola or Actian? OK, I get that could be useful. People mine tons of rock for tiny amoutns of gold. But the language makes you think about it all wrong. Unless i'm the wrong one. Help me out here. Art Arthur, There is no single strict definition of Big Data. A commonly used "definition" speaks about the 3 Vs: 1) Volume 2) Variety 3) Velocity Big Data - or Big Data challenges - are described across these 3 dimensions. In addition to the 3 Vs there is also a notion that Big Data challenges are data management challenges that cannot be addressed with current systems. As a result different companies have a different notion of Big Data challenges. You can probably appreciate that Big Data has a different meaning or proportion to companies like Google or Facebook compared to most of the Fortune 1000 companies or a medium size business. Finally, a Big Data challenge is not a challenge that necessarily has a single solution. To illustrate this I like the analogy of having a problem/challenge of a leak in your home in the middle o...

how big is too big
I'm creating some pretty large PDF docs and I'm wondering how large a PDF can be and still be easily and practically usable (via the computer screen; when it goes to the printer size doesn't really matter). Of course I know it depends on the computer power, but I'd like to get opinions on what 'ballpark' figures might be. Currently my largest PDF is 50 megabytes produced with pdfLaTeX), and I find it useable, but barely so. That is, if I have an HTML version of the same document I'd rather use that than the single pdf. As shown in the very useful book, PDF ...

Big data
Hello everybody I have a strange problem; I need to initialize a data of size :[512 512 340] of type single. when I type in command window A=single(ones(512 512 340));there is not any problem, but if I start an editor by :A=single(ones(512 512 340)), I face the error "Out of memory" eny one know why? Thenks Ella "eli " <elaheh_kohan@yahoo.com> wrote in message news:ji356k$911$1@newscl01ah.mathworks.com... > Hello everybody > I have a strange problem; > I need to initialize a data of size :[512 512 340] of type single. > > when I type in ...

big comlpicated apps and big data nad websites in scheme
tell me some examples! anyone running the show in their startup on scheme? ...

How to plot whole history data on a XY-graph if the data size is too big.
&nbsp;&nbsp;&nbsp; Hello, &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; &nbsp;&nbsp;&nbsp;&nbsp;&nbsp; I try to create time vs. Vrms on a XY-graph for last 1 year. Here is the plot:&nbsp;&nbsp;<img src="http://www.benchu.com/ben.PNG"><a href="http://www.benchu.com/ben.PNG" target="_blank"></a> &nbsp;The x-value is timestamp and the y-value is Vrms. The data are read from a file. The interval between each timestamp is different so that I choose the XY-graph.However, it seems that if the data size is...

why fopen( ) can't open a big data file? (single file, as big as 29G)
I have a data file, the size is 29G (single file). I use "fopen()" to open it, but it always fail, the returned file pointer is NULL. who knows why? thx! guru.slt@gmail.com wrote: > I have a data file, the size is 29G (single file). > > I use "fopen()" to open it, but it always fail, the returned file > pointer is NULL. > > who knows why? thx! It's possible that your standard C library implementation is not capable of handling large files. Read the documentation. You could be in a situation when you have to use OS-specific means for large file...

Call for Papers Reminder: The 2013 International Conference of Data Mining and Knowledge Engineering (ICDMKE 2013)
Call for Papers Reminder: The 2013 International Conference of Data Mining and Knowledge Engineering (ICDMKE 2013) CFP Reminder: International Conference of Data Mining and Knowledge Engineering ICDMKE 2013 From: International Association of Engineers (IAENG) Draft Paper Submission Deadline: 6 March, 2013 Camera-Ready papers & Registration Deadline: 31 March, 2013 WCE 2013: London, U.K., 3-5 July, 2013 http://www.iaeng.org/WCE2013/ICDMKE2013.html The conference ICDMKE'13 is held under the World Congress on Engineering 2013. The WCE 2013 is organized by International Asso...

Web resources about - [Big Data 2013] Big Data 2013 CFP - comp.parallel

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