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The vast data deluge at the network's edge is raising multiple challenges forthe edge computing community. One of them is identifying edge storage serverswhere data from edge devices/sensors have to be stored to ensure low latencyaccess services to emerging edge applications. Existing data placementalgorithms mainly focus on locality, latency, and zoning to select edge storageservers under multiple environmental constraints. This paper uses a dataplacement framework to compare distance-based, latency-based, andspatial-awareness-based data placement strategies, which all share adecision-making system with similar constraints. Based on simulationexperiments, we observed that the spatial-awareness-based strategy couldprovide a quality of service on par with the latency-based and better than thedistance-based strategy.

Locality, Latency and Spatial-Aware Data Placement Strategies at the Edge