Publication | Closed Access
Characterizing and orchestrating NFV-ready servers for efficient edge data processing
13
Citations
22
References
2019
Year
Unknown Venue
Artificial IntelligenceCluster ComputingEngineeringEdge DeviceBig Data AnalyticsComputer ArchitectureCloud Data CentersInternet Of ThingsParallel ComputingSmall ArchitecturesEdge IntelligenceNfv-ready ServersComputer EngineeringComputer ScienceNetwork ReliabilityNetwork Function VirtualizationEdge ArchitectureIot Data AnalyticsData ProcessingEdge ComputingCloud ComputingMulti-access Edge ComputingParallel ProgrammingEdge Artificial IntelligenceBig Data
The fast-growing Internet of Things (IoT) and Artificial intelligence (AI) applications mandate high-performance edge data analytics. This requirement cannot be fully fulfilled by prior works that focus on either small architectures (e.g., accelerators) or large infrastructure (e.g., cloud data centers). Sitting in between the edge and cloud, there have been many server-level designs for augmenting edge data processing. However, they often require specialized hardware resources and lack scalability as well as agility.
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