SEA-LEAP: Self-Adaptive and Locality-Aware Edge Analytics Placement

IEEE Transactions on Services Computing(2022)

Cited 5|Views15
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Abstract
Near real-time edge analytics requires dealing with the rapidly growing amount of data, limited resources, and high failure probabilities of edge nodes. Therefore, data replication is of vital importance to meet SLOs such as service availability and failure resilience. Consequently, specific input datasets, requested by on-demand analytics (e.g., object detection), can be present at different loca...
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Key words
Image edge detection,Distributed databases,Tracking,Visual analytics,Decision making,Servers,Object detection
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