-------- Forwarded Message --------
Call for Papers
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The 10th International Workshop on Big Data and Cloud Performance
(DCPerf’20)
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in conjunction with IEEE INFOCOM 2020
April 27, 2020, Beijing, China
https://infocom2020.ieee-infocom.org/workshop-big-data-and-cloud-performance
The 10th Workshop on Big Data and Cloud Performance (DCPerf'20)
will be held in conjunction with the IEEE INFOCOM'20 in Beijing,
China on April 27, 2020. The goal of DCPerf is to promote a
community-wide discussion to identify suitable strategies to
enable effective and scalable performance optimizations.
Submissions on any topics of datacenter, cloud and bigdata
performance are welcome. Submission site will remain open until
Jan. 8th, 2020.
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 applications
and content, the range of services provided at data centers will
expand tremendously and unpredictably. Particularly, big data
applications and services, e.g., social and environmental sensing,
and IoT monitoring, present a unique class of challenges in the
Cloud. In addition, the high volume of mixed workloads and the
diversity of services offered render the performance optimization
of data centers even more challenging. Moreover, important
optimization criteria, such as scalability, reliability,
manageability, power efficiency, area density, and operating
costs, are often conflicting. The increasing mobility of users
across geographically distributed areas adds another dimension to
optimizing big data and cloud applications.
The goal of this workshop is to promote a community-wide
discussion to identify suitable strategies to enable effective and
scalable performance optimizations. We are looking for papers that
present new techniques, introduce new methodologies, propose new
research directions, or discuss strategies for resolving open
performance problems for hosting big data analytics in the cloud.
Topics of interest include (but are not limited to):
- Big data applications and services
- Emerging IoT applications
- Data flow management
- Processing platforms
- Empirical studies
- Cloud systems
- Novel architectures
- Resource allocation
- Content distribution
- Evaluation/modeling methodology
- Big data and cloud performance - Cost/pricing design
- Power/energy management
- Reliability/dependability
- Performance evaluation/modeling
- Big data in the cloud
- Intra/Inter communication
- Network protocols
- Security
- Real-time analytics
Important Dates:
Paper Registration and Abstract Submission: Jan. 8th, 2020
Full Paper Submission: Jan. 15th, 2020
Notification of Acceptance: Feb. 15th, 2020
Final Manuscript Due: March 6, 2020
Submission Guideline:
Manuscripts must be limited to 6 pages in IEEE 8.5x11-inch format.
Accepted papers will be published in the combined INFOCOM 2020
Workshop proceedings
and will be submitted to IEEE Xplore. Submitted papers may not
have been previously published in or be under consideration for
publication in another journal or conference. The reviews will be
single blinded.
Manuscripts should be submitted as PDF files via EDAS link:
https://edas.info/newPaper.php?c=26866&track=99584
Committee:
General Chair
Wanyang Dai, Department of Mathematics, Nanjing University, China
TPC co-Chairs
Peter Mueller, IBM Research Zurich Lab, Switzerland
Rui Han, School of Computer Science&Technology, Beijing
Insititute of Technology
Steering Committee
Jiannong Cao (Hong Kong Polytechnic University, Hong Kong)
Alok Choudhary (Northwerstern University, USA)
Lydia Y. Chen, Distributed System Department, Delft University of
Technology, The Netherlands
Martin Schmatz (IBM Research Zurich Lab, Switzerland)
Anand Sivasubramaniam (Penn State University, USA)
Larry Xue (Arizona State University, USA)
Contact:
Peter Mueller -
pmu@zurich.ibm.com
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