The 3rd IEEE/ACM International Workshop on Network-Aware Big Data Computing (NEAC'21)

co-located with CCGrid'21, 10th - 13th Of May, Melbourne, Australia.

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  • 2021.03.15 - 2 High-Quality Papers (out of 9) were accepted by NEAC'21.

  • 2021.02.28 - Follow the updates of CCGrid, NEAC'21 will be held Virtually.

  • 2020.12.28 - The same as NEAC'19, there will be a Best Paper Award for the papers presented at NEAC'21.

  • 2020.12.15 - All accepted papers will be published in the Proceedings of the 21st IEEE/ACM International Symposium in Cluster, Cloud, and Grid Computing, published by IEEE.

  • 2020.12.08 - NEAC 2021 website is online.

About NEAC

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.

Detailed program of NEAC 2021 will be available in the middle of April 2021.


All contributions should be high quality, 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.

Submitted papers will be thoroughly reviewed by members of the Workshop Program Committee for quality, correctness, originality and relevance. All accepted papers must be presented by one of the authors, who must register. Papers must be submitted via the EasyChair online submission system: For further information regarding the NEAC 2021 submission, please contact the workshop co-organizer Long Cheng at

  • Submission Dealine: Feb 14th, 2021 (extended to Feb 21st, 2021)

  • Author Notification: Feb 28th, 2021(extended to Mar 3rd, 2021)

  • Camera-Ready Due: Mar 5th, 2021(extended to Mar 15th, 2021)

  • Workshop Date: May 10th, 2021



Long Cheng, NCEPU in Beijing & Insight SFI Research Centre in Dublin

Zhiming Zhao, University of Amsterdam, Netherlands

Program Committee

Leandro Almeida, Federal Technological University of Parana, Brazil

Dick Epema, Delft University of Technology, Netherlands

Spyros Kotoulas, Facebook, UK

Jianbin Li, North China Electric Power University, Beijing, China

Zhuozhao Li, University of Chicago, USA

Cong Liu, Shandong University of Technology, China

Jinwei Liu, Florida A&M University, USA

Radu Prodan, University of Klagenfurt, Austria

Lukas Rupprecht, IBM Research Almaden, USA

Ilias Tachmazidis, University of Huddersfield, UK

Alexandru Uta, Leiden University, Netherlands

Shen Wang, University College Dublin, Ireland

Ying Wang, Institute of Computing Technology, CAS, China

Lei Yang, South China University of Technology, China

Publicity Chair

Ying Mao, Fordham University, USA

Lianting Xue, North China Electric Power University, Beijing, China

Publication Chair

Qingzhi Liu, Wageningen University & Research, Netherlands

Yifeng Huang, North China Electric Power University, Beijing, China

Web Chair

Yongtai Qin, North China Electric Power University, Beijing, China