Assessing the impact of unbalanced resources and communications in edge computing.

Edge computing relies on devices at the edge of the network to best meet the application's needs, such as low communication latency and data caching. However, unbalanced networks and resource heterogeneity are challenging factors when optimizing data transfers and applications' performances in the edge. In this paper, we explore these two concerns through a comprehensive set of benchmarks and illustrate their importance with the help of two elements that should be part of any edge computing toolkit: data locality and context awareness. Thanks to the benchmarks, we highlight some pitfalls and opportunities that may be met when trying to deploy applications on the edge. • Benchmarks for edge-cloud and edge-edge data transmission and storage. • Use of real devices presenting a variety of performance profiles and capabilities. • Data-locality strategies for DHT storage and their impact on low-end edge devices. • Assessment of a context-aware scheduler on a network with heterogeneous devices. [ABSTRACT FROM AUTHOR]