[hpc-announce] Call for paper "The 35th IEEE International Performance, Computing, and Communication Conference (IPCCC) 2016 December 9 – 11, 2016 Las Vegas, USA"

Guan, Qiang qguan at lanl.gov
Wed Jun 8 15:24:08 CDT 2016


IEEE IPCCC 2016

The 35th IEEE International Performance, Computing, and Communication Conference (IPCCC) 2016

December 9 – 11, 2016

Las Vegas, USA



CALL FOR PAPERS



The International Performance, Computing, and Communications Conference (IPCCC) is a premier IEEE conference presenting research in the field of performance of computer and communication systems. For more than three decades, IPCCC has been a key research forum for academic, industrial, and government researchers. We encourage submission of high-quality papers reporting original work in both theoretical and experimental research areas. Topics of interest include, but are not limited to, the following:



**** Hot Topics for IPCCC 2016 ****



Big Data Processing and Analytics

Cache, Memory, and Disk Storage Systems

Cloud Computing

Crowdsourcing Systems

Cyber Physical Systems

Data Centers

Embedded Systems

Fundamental Theory and Algorithms

Internet of Things

Internet Services and Network Management

Mobile Ad Hoc, Sensor and Mesh Networks

Multimedia Networking

Many-core and Heterogeneous Computing

Network Data Mining

Network Information Assurance and Security

Network Protocols

Online Social Network Analysis

Parallel and Distributed Systems

Performance Evaluation and Modeling

Security and Privacy

Smart Grid and Intelligent Mission Critical Operations

Smart Health Systems, Wearable, and Implantable Systems

Smartphone and mobile applications

Software Defined Networking

Ubiquitous Computing

Wireless Communication and Networks

Workload Characterization and its Impacts on Architecture Design





FULL PAPERS: Submissions should not exceed 8 pages in general. However, if authors are willing to pay an over-length fee of $100/page, 2 additional pages are allowed for their submission. This over-length fee will be charged once the paper is accepted.



All papers will be reviewed by the Technical Program Committee and judged with respect to their quality, originality, and relevance. Accepted papers will be published in the conference proceedings, conditional upon the author's advance registration and attendance at the conference. Awards will be given for the best paper.



Submissions must be received by the deadline of Friday, August 26, 2016 23:59 (US EST Time), through the EDAS system (Please see http://ipccc.org/ipccc2016/main.php?page=4 for the paper submission link). Paper abstracts are due one week earlier by August 19, 2016. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal, conference or workshop. Simultaneous submission of the same work is not allowed. Submissions should use the IEEE conference template. Please refer to the IEEE formatting instruction for details: <http://www.computer.org/CPS>

 http://www.ieee.org/conferences_events/conferences/publishing/templates.html



POSTERS: We welcome submissions of poster applications in the form of a two-page extended abstract in PDF formatted with the same template for full papers. A subset of full paper submissions will also be invited to the IEEE IPCCC Poster Session. Posters will be selected for acceptance based on their novelty, relevance, and quality of presentation. Accepted posters will be included in the conference proceedings as extended abstracts. Authors of accepted posters are expected to prepare and present their posters at the conference. Format of posters for display will be available after notification of acceptance. To submit extended abstracts, please contact the Poster Chair.





IMPORTANT DATES:

Paper Abstract Due: August 19, 2016

Full Paper Due: August 26, 2016

Poster Paper Due: October 7, 2016

Acceptance Notification: October 31, 2016

Camera Ready Due: November 7, 2016

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Qiang Guan, Ph.D.

Scientist,
Ultra-scale System Research Center,
Data Science at Scale Team,
Computer, Computational and Statistical Science Group 7
Los Alamos National Laboratory
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