NEAC'20: The 2nd IEEE/ACM International Workshop on Network-Aware Big Data Computing Melbourne, Australia, May 11, 2020 |
Conference website | https://neac.computing.dcu.ie/ |
Submission link | https://easychair.org/conferences/?conf=neac20 |
Submission deadline | February 10, 2020 |
All accepted papers will be published in the Proceedings of the 20th IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, published by IEEE. There will be a Best Paper Award at NEAC 2020.
Network communications is one of the main performance challenges for big data computing in large distributed systems such as datacenters, in terms of both communication time and energy consumption. Significant improvements have been achieved by using the state-of-the-art methods, designed in the research domains of data management (e.g., locality scheduling), data communications (e.g., flow scheduling) and network management (e.g., routing). However, almost all the techniques in their own fields just view each fields as a black box, and the additional performance gains from a co-optimization perspective have not yet been well explored. Moreover, in emerging data networks (e.g., DCNs with programmable switches or IoT networks), part of computation from end hosts can be offloaded into networks. This new paradigm can process data as it flows and have redefined the computation and communication in data processing, and thus how to optimize big data computing within the scheme becomes an interesting question.
NEAC aims to explore network-aware optimization opportunities for big data computing in distributed systems. It will bring researchers from related fields together to investigate innovative models, algorithms, architectures and systems to minimize data movement time, message traffic and energy consumption for big data computing in various network infrastructures, and consequently deliver significant performance improvements to the large-scale data analytics community.
This workshop seeks interesting and innovative contributions and surveys on methods and designs covering all aspects of optimization for data computing, communication, message traffic and energy consumption in different network configurations. This workshop also encourages new initiatives of building bridges between big data computing and network communications. Topics of interest include, but are not limited to:
- All network-aware optimization techniques for big data computing in distributed environments such as data locality, task, job, flow and routing scheduling in cluster, grid, edge and cloud.
- All data-aware network designs such as protocols, domain-specific solutions and architectures for wireless networks, software-defined networks, data center networks, peer-to-peer networks, sensor networks, and Internet of Things.
- All application and network co-design techniques for big data computing such as performance models, algorithms, programming paradigms, architectures and systems.
Submission Guidelines
All contributions should be original and not published elsewhere or submitted for publication during the review period. Regular technical papers must be prepared in IEEE conference format and must not exceed 8 pages for full papers and 4 pages for short papers, and all submissions must be in English. Submissions that do not adhere to these guidelines or that violate formatting will be declined without review. Papers must be submitted via the EasyChair online submission system: https://www.easychair.org/conferences/?conf=neac20.
Committees
Program Committee
- Aymen Azouz, Oracle, Ireland
- Leandro Almeida, Federal Technological University of Parana, Brazil
- Dick Epema, Delft University of Technology, Netherlands
- Yang Hu, National University of Defense Technology, China
- Zhuozhao Li, University of Chicago, USA
- Cong Liu, Shandong University of Technology, China
- Jinwei Liu, Florida A&M University, USA
- Liam Murphy, University College Dublin, Ireland
- Ying Mao, Fordham University, USA
- Radu Prodan, University of Klagenfurt, Austria
- Lukas Rupprecht, IBM Research Almaden, USA
- Ilias Tachmazidis, University of Huddersfield, UK
- Alexandru Uta, Vrije Universiteit Amsterdam, Netherlands
- Shen Wang, University College Dublin, Ireland
- Ying Wang, Institute of Computing Technology, CAS, China
- Lei Yang, South China University of Technology, China
- Murat Yilmaz, Dublin City University, Ireland
- Dian Zhang, The Insight Centre for Data Analytics, Ireland
Organizing committee
- Long Cheng, Dublin City University, Ireland
- John Murphy, University College Dublin, Ireland
- Zhiming Zhao, University of Amsterdam, Netherlands
Venue
The workshop will be co-located with CCGrid'20 to be held in 14th - 17th Of May, Melbourne, Australia.
Contact
All questions about submissions should be emailed to long.cheng@dcu.ie