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A Multi-Cloudlet Infrastructure for Future Smart Cities: An Empirical Case Study

Gedeon, Julien and Krisztinkovics, Jeff and Meurisch, Christian and Stein, Michael and Wang, Lin and Mühlhäuser, Max (2018):
A Multi-Cloudlet Infrastructure for Future Smart Cities: An Empirical Case Study.
In: Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking, ACM, In: 1st International Workshop on Edge Systems, Analytics and Networking (EdgeSys), Munich, Germany, June 10, 2018, DOI: 10.1145/3213344.3213348,
[Online-Edition: https://dl.acm.org/citation.cfm?id=3213348],
[Conference or Workshop Item]

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Gedeon, Julien and Krisztinkovics, Jeff and Meurisch, Christian and Stein, Michael and Wang, Lin and Mühlhäuser, Max
Title: A Multi-Cloudlet Infrastructure for Future Smart Cities: An Empirical Case Study
Language: English
Title of Book: Proceedings of the 1st International Workshop on Edge Systems, Analytics and Networking
Publisher: ACM
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Telecooperation
DFG-Collaborative Research Centres (incl. Transregio)
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology
DFG-Collaborative Research Centres (incl. Transregio) > Collaborative Research Centres > CRC 1053: MAKI – Multi-Mechanisms Adaptation for the Future Internet > A: Construction Methodology > Subproject A1: Modelling
Event Title: 1st International Workshop on Edge Systems, Analytics and Networking (EdgeSys)
Event Location: Munich, Germany
Event Dates: June 10, 2018
Date Deposited: 18 May 2018 14:31
DOI: 10.1145/3213344.3213348
Official URL: https://dl.acm.org/citation.cfm?id=3213348
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