دورية أكاديمية

A Reality Check on Inference at Mobile Networks Edge

التفاصيل البيبلوغرافية
العنوان: A Reality Check on Inference at Mobile Networks Edge
المؤلفون: Cartas, Alejandro, Kocour, Martin, Raman, Aravindh, Leontiadis, Ilias, Luque, Jordi, Sastry, Nishanth, Nuñez-Martinez, Jose, Perino, Diego, Segura, Carlos
المصدر: Cartas , A , Kocour , M , Raman , A , Leontiadis , I , Luque , J , Sastry , N , Nuñez-Martinez , J , Perino , D & Segura , C 2019 , A Reality Check on Inference at Mobile Networks Edge . in Proceedings of the 2Nd International Workshop on Edge Systems, Analytics and Networking . EdgeSys '19 , New York, NY, USA , pp. 54-59 . https://doi.org/10.1145/3301418.3313946Test
سنة النشر: 2019
المجموعة: King's College, London: Research Portal
مصطلحات موضوعية: Artificial intelligence, Edge computing
الوصف: Edge computing is considered a key enabler to deploy Artificial Intelligence platforms to provide real-time applications such as AR/VR or cognitive assistance. Previous works show computing capabilities deployed very close to the user can actually reduce the end-to-end latency of such interactive applications. Nonetheless, the main performance bottleneck remains in the machine learning inference operation. In this paper, we question some assumptions of these works, as the network location where edge computing is deployed, and considered software architectures within the framework of a couple of popular machine learning tasks. Our experimental evaluation shows that after performance tuning that leverages recent advances in deep learning algorithms and hardware, network latency is now the main bottleneck on end-to-end application performance. We also report that deploying computing capabilities at the first network node still provides latency reduction but, overall, it is not required by all applications. Based on our findings, we overview the requirements and sketch the design of an adaptive architecture for general machine learning inference across edge locations.
نوع الوثيقة: article in journal/newspaper
اللغة: English
DOI: 10.1145/3301418.3313946
الإتاحة: https://doi.org/10.1145/3301418.3313946Test
https://kclpure.kcl.ac.uk/portal/en/publications/131cf5ef-5505-4c03-a756-58d78ccf0babTest
http://www.scopus.com/inward/record.url?scp=85063915208&partnerID=8YFLogxKTest
حقوق: info:eu-repo/semantics/closedAccess
رقم الانضمام: edsbas.1585AF69
قاعدة البيانات: BASE