Affiliation:
1. Tampere University, Korkeakoulunkatu, Tampere, Finland
Abstract
With the increasing popularity of the Internet of Things and massive Machine Type Communication technologies, the number of connected devices is rising. However, although enabling valuable effects to our lives, bandwidth and latency constraints challenge Cloud processing of their associated data amounts. A promising solution to these challenges is the combination of Edge and approximate computing techniques that allows for data processing nearer to the user. This article aims to survey the potential benefits of these paradigms’ intersection. We provide a state-of-the-art review of circuit-level and architecture-level hardware techniques and popular applications. We also outline essential future research directions.
Funder
European Union’s Horizon 2020 Research and Innovation programme under the Marie Skłodowska Curie
Publisher
Association for Computing Machinery (ACM)
Subject
General Computer Science,Theoretical Computer Science
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