International Workshop on Network-Aware Big Data Computing
会议地点: Larnaca, Cyprus
NEAC aims to bridge the gap of current research in big data computing and network communications. It will bring researchers from related fields together to explore innovative models, algorithms, architectures and systems to minimize data movement time, message traffic and energy consumption for big data computing, 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.