TY - GEN
T1 - A multi-cloudlet infrastructure for future smart cities
T2 - 1st ACM International Workshop on Edge Systems, Analytics and Networking, EdgeSys 2018, held in conjunction with ACM MobiSys 2018
AU - Gedeon, Julien
AU - Krisztinkovics, Jeff
AU - Meurisch, Christian
AU - Stein, Michael
AU - Wang, Lin
AU - Mühlhäuser, Max
PY - 2018/6/10
Y1 - 2018/6/10
N2 - The emerging paradigm of edge computing has proposed cloudlets to offload data and computations from mobile, resource-constrained devices. However, little attention has been paid to the question on where to deploy cloudlets in the context of smart city environments. In this vision paper, we propose to deploy cloudlets on a city-wide scale by leveraging three kinds of existing infrastructures: cellular base stations, routers and street lamps. We motivate the use of this infrastructure with real location data of nearly 50,000 access points from a major city. We provide an analysis on the potential coverage for the different cloudlet types. Besides spatial coverage, we also consider user traces from two mobile applications. Our results show that upgrading only a relatively small number of access points can lead to a city-scale cloudlet coverage. This is especially true for the coverage analysis of the mobility traces, where mobile users are within the communication range of a cloudlet-enabled access point most of the time.
AB - The emerging paradigm of edge computing has proposed cloudlets to offload data and computations from mobile, resource-constrained devices. However, little attention has been paid to the question on where to deploy cloudlets in the context of smart city environments. In this vision paper, we propose to deploy cloudlets on a city-wide scale by leveraging three kinds of existing infrastructures: cellular base stations, routers and street lamps. We motivate the use of this infrastructure with real location data of nearly 50,000 access points from a major city. We provide an analysis on the potential coverage for the different cloudlet types. Besides spatial coverage, we also consider user traces from two mobile applications. Our results show that upgrading only a relatively small number of access points can lead to a city-scale cloudlet coverage. This is especially true for the coverage analysis of the mobility traces, where mobile users are within the communication range of a cloudlet-enabled access point most of the time.
KW - Cloudlets
KW - Coverage
KW - Edge Computing
KW - Fog Computing
KW - Mobile Applications
KW - Smart Cities
UR - http://www.scopus.com/inward/record.url?scp=85060221318&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060221318&partnerID=8YFLogxK
U2 - 10.1145/3213344.3213348
DO - 10.1145/3213344.3213348
M3 - Conference contribution
AN - SCOPUS:85060221318
T3 - EdgeSys 2018 - Proceedings of the 1st ACM International Workshop on Edge Systems, Analytics and Networking, Part of MobiSys 2018
SP - 19
EP - 24
BT - EdgeSys 2018 - Proceedings of the 1st ACM International Workshop on Edge Systems, Analytics and Networking, Part of MobiSys 2018
PB - Association for Computing Machinery, Inc
Y2 - 10 June 2018
ER -