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There are currently no benchmarks that can directly compare the performance of an application across the cloud-only, edge-only and cloud-edge (Fog) deployment platforms to obtain any insight on potential performance improvement. This paper proposes DeFog, a first Fog benchmarking suite to: (i) alleviate the burden of Fog benchmarking by using a standard methodology, and (ii) facilitate the understanding of the target platform by collecting a catalogue of relevant metrics for a set of benchmarks. The current portfolio of DeFog benchmarks comprises six relevant applications conducive to using the edge. Experimental studies are carried out on multiple target platforms to demonstrate the use of DeFog for collecting metrics related to application latencies (communication and computation), for understanding the impact of stress and concurrent users on application latencies, and for understanding the performance of deploying different combination of services of an application across the cloud and edge. DeFog is available for public download (https://github.com/qub-blesson/DeFog).
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Jonathan McChesney
IBM (United Kingdom)
Nan Wang
Heilongjiang University of Science and Technology
Ashish Tanwer
Cisco Systems (United States)
University of Toronto
Queen's University Belfast
Cisco Systems (United States)
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McChesney et al. (Mon,) studied this question.
synapsesocial.com/papers/6a237009dfc351f7823a12fb — DOI: https://doi.org/10.1145/3318216.3363299
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