Pruning Edge Research with Latency Shears

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dc.contributor.author Mohan, Nitinder
dc.contributor.author Corneo, Lorenzo
dc.contributor.author Zavodovski, Aleksandr
dc.contributor.author Bayhan, Suzan
dc.contributor.author Wong, Walter
dc.contributor.author Kangasharju, Jussi
dc.date.accessioned 2022-02-21T14:43:01Z
dc.date.available 2022-02-21T14:43:01Z
dc.date.issued 2020-11-04
dc.identifier.citation Mohan , N , Corneo , L , Zavodovski , A , Bayhan , S , Wong , W & Kangasharju , J 2020 , Pruning Edge Research with Latency Shears . in HotNets 2020 : Proceedings of the 19th ACM Workshop on Hot Topics in Networks . ACM , New York, NY , pp. 182-189 , ACM Workshop on Hot Topics in Networks , United States , 04/11/2020 . https://doi.org/10.1145/3422604.3425943
dc.identifier.citation workshop
dc.identifier.other PURE: 174379824
dc.identifier.other PURE UUID: 6d28468b-91b9-4ecb-8e3a-e8484f99dc9b
dc.identifier.other Scopus: 85097068830
dc.identifier.other ORCID: /0000-0001-6119-1638/work/108864307
dc.identifier.other ORCID: /0000-0002-0268-0295/work/108868593
dc.identifier.uri http://hdl.handle.net/10138/340711
dc.description.abstract Edge computing has gained attention from both academia and industry by pursuing two significant challenges: 1) moving latency critical services closer to the users, 2) saving network bandwidth by aggregating large flows before sending them to the cloud. While the rationale appeared sound at its inception almost a decade ago, several current trends are impacting it. Clouds have spread geographically reducing end-user latency, mobile phones? computing capabilities are improving, and network bandwidth at the core keeps increasing. In this paper, we scrutinize edge computing, examining its outlook and future in the context of these trends. We perform extensive client-to-cloud measurements using RIPE Atlas, and show that latency reduction as motivation for edge is not as persuasive as once believed; for most applications the cloud is already 'close enough' for majority of the world's population. This implies that edge computing may only be applicable for certain application niches, as opposed to a general-purpose solution. en
dc.format.extent 8
dc.language.iso eng
dc.publisher ACM
dc.relation.ispartof HotNets 2020
dc.relation.isversionof 9781450381451
dc.rights cc_by
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject cloud computing
dc.subject cloud reachability
dc.subject edge computing
dc.subject internet measurements
dc.subject 113 Computer and information sciences
dc.title Pruning Edge Research with Latency Shears en
dc.type Conference contribution
dc.contributor.organization Department of Computer Science
dc.contributor.organization Collaborative Networking research group / Jussi Kangasharju
dc.contributor.organization Helsinki Institute for Information Technology
dc.description.reviewstatus Peer reviewed
dc.relation.doi https://doi.org/10.1145/3422604.3425943
dc.rights.accesslevel openAccess
dc.type.version publishedVersion

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