[hpc-announce] CFP: 3nd International Workshop on Innovating the Network for Data Intensive Science (INDIS) 2016 @SC16 Deadline: Aug. 21

Paola Grosso p.grosso at uva.nl
Tue Jun 21 02:54:18 CDT 2016

*/SC16: INDIS Workshop Call for Papers/*

*/ /*

*Innovating the Network for Data Intensive Science (INDIS)*


The 3nd International Workshop on Innovating the Network for Data
Intensive Science (INDIS) 2016, in conjunction with SC16: IEEE/ACM
International Conference for High Performance Computing, Networking,
Storage and Analysis, in Salt Lake City, Utah, on November 13, 2016,
9h00 – 17h00.


Call for papers:

We invite full original papers to be submitted via the FGCS submission

·      On-line Journal:

·      Journal Description: http://www.elsevier.com/locate/fgcs

·      Electronic Submission: http://ees.elsevier.com/fgcs


Workshop website: https://scinet.supercomputing.org/workshop/

Note also the call for Network Research Environment demos on the SCinet

* *

*Workshop Scope*:


Science is making the transition from Data-poor to Data-rich. Where in
the past only limited experimental data was compared to big amounts of
simulation-generated data at Supercomputing centers, we now see those
centers transform into big data stream processing nodes. Wide area
networks are now an integral and essential part of the data driven
Supercomputing ecosystem connecting information-sources, data-stores,
processing, simulation, and visualization and user communities together.
Further networks are required to connect research instruments such as
photon sources, and large visualization displays.


Networks for data-intensive science have more extreme requirements than
general-purpose networks.  These requirements closely impact the design
of processor interconnects in supercomputers/cluster computers, but they
also impact campus networks, regional networks and national backbone


The developments in network technology are tremendous. Speeds of many
100’s of Gigabit and deep programmability of network infrastructure are
now common. This enables a fundamentally different approach of
integrating networks in Supercomputing applications.


This workshop encourages research papers that address one or more of
these needs that are essential in the scientific discovery process. This
workshop will also serve as a platform for participants in SCinet to
present experimental papers on their latest designs and solutions.
SCinet is the high-speed network engine of the SC conference. This
network is state of the art, connects many demonstrators of big science
data processing infrastructures at the highest line speeds, deploys the
newest technologies available, and demonstrates novel functionality. The
show floor network connects to many laboratories and universities
worldwide using high-bandwidth connections.


This workshop brings together SCinet engineers and network researchers
to share challenges and potential solutions. Their novel ideas will
allow future SCinets to stretch their deployed technologies and further
drive new network research. We invite papers that propose new and novel
techniques that increase the capacity and functionality of scientific
computing and wide-area networks.


*Topics of interest include but are not limited to:*

·      High-speed network protocols

·      Network architectures

·      Securing high-speed networks

·      High performance data transfer applications and techniques

·      Science DMZs and other campus network constructs

·      Software-defined networking , OpenFlow and NFV

·      Optical networking

·      Network monitoring and traffic analytics

·      Requirements and issues for network quality of service (QoS)

·      HPC interconnects: topologies and protocols for supercomputers
and cluster computers

·      Storage area networks

·      Network management: diagnostics, troubleshooting, fault
management, performance monitoring, configuration management

·      Multi-domain networking

*Important Dates:*

Paper Submission due:                    August 21, 2016

Notification of acceptance:               October 1, 2016

Workshop-Ready version due:        November 1, 2016

Workshop Date:                                November 13, 2016

Camera-Ready version due:            January 15, 2017


*Submission Guidelines:*

Authors should prepare their manuscript according to the Guide for
Authors available from the online submission page of the Future
Generation Computer Systems at http://ees.elsevier.com/fgcs/ .

Authors should select “SI: SC16 - INDIS” when they reach the “Article
Type” step in the submission process. Reviewing of the full papers will
be done by the program committee.  At least one of the authors of an
accepted paper should register and present the paper.  Accepted papers
will be included in the proceedings and will be available through
Elsevier FGCS.


*Registration*:  SC'16 workshop registration is handled through the
SC'16 system. Please visit http://sc16.supercomputing.org for more

If you have any further questions, please email:

scinet-workshop at scinet.supercomputing.org
<mailto:scinet-workshop at scinet.supercomputing.org>


*Workshop Organizers:*

·       *Cees de Laat:*Professor System and Network Engineering,
University of Amsterdam, The Netherlands.

·       *Brian L. Tierney:*Staff Scientist and Group Leader of the ESnet
Advanced Network Technologies Group at Lawrence Berkeley National

·       *Paola Grosso: *Assistant professor in the System and Network
Engineering (SNE) group at the University of Amsterdam, The Netherlands.

·       *Malathi Veeraraghavan*: Professor, Charles L. Brown Dept. of
Electrical and Computer Engineering, and Associate Director,
Infrastructure and Services, Data Science Institute, University of Virginia.


·       *Mehmet Balman:*Liaison to the NDM committee, VMware Inc. &
Lawrence Berkeley National Laboratory, USA.

·       *Sylvia Kuijpers*: Liaison to communications, SURFnet, The
Netherlands, SCinet team-member INDIS.


*Program Committee*:

·       Pavan Balaji, Argonne National Laboratory and Northwestern
University, USA 

·       Mehmet Balman, VMware Inc. & Lawrence Berkeley National
Laboratory, USA

·       Virginia Bedford, US Army Corps of Engineers, USA 

·       Surendra Byna, Lawrence Berkeley National Laboratory, USA 

·       Jerry Chou, National Tsing Hua University, Taiwan 

·       Zhihui Du, Tsinghua University, China 

·       Kartik Gopalan, State University of New York at Binghamton, USA 

·       Paola Grosso, University of Amsterdam, The Netherlands. 

·       Zhiyi Huang, University of Otago, New Zealand 

·       Raj Kettimuthu, Argonne National Laboratory and University of
Chicago, USA

·       Cees de Laat, University of Amsterdam, The Netherlands. 

·       Jinoh Kim, Texas A&M University-Commerce, USA 

·       Siva Kulasekaran, Texas Advanced Computing Center, USA 

·       Kate Mace, ESnet, USA 

·       Manish Parashar, Rutgers University, USA 

·       Eric Pouyoul, Energy Sciences Network and Lawrence Berkeley Lab,

·       Corby Schmitz, Argonne National Lab/ Loyola University, Chicago,

·       Jennifer Schopf, Indiana University, USA 

·       Martin Swany, Indiana University, USA

·       Brian L. Tierney, ESnet, Lawrence Berkeley National Laboratory, USA

·       Malathi Veeraraghavan, University of Virginia, USA 

·       Venkat Vishwanath, Argonne National Laboratory, USA 

·       Linda Winkler, Arogonne National Lab 

·       Wenji Wu, Fermilab, USA 

·       Lei Xia, LinkedIn, USA 

·       Esma Yildirim, Fatih University, Turkey

·       Yufei Ren,  IBM, Watson, USA

·       Matthew J Zekauskas: Senior researcher, Internet2, USA 


*** Please forward to anyone who might be interested ***

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