Mobile crowdsensing as a service: A platform for applications on top of sensing Clouds
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- 作者：Giovanni Merlinoa ; b ; gmerlino@unime.it" class="auth_mail" title="E-mail the corresponding author ; giovanni.merlino@dieei.unict.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Stamatis Arkoulisc ; stark@cn.ntua.gr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Salvatore Distefanod ; e ; s_distefano@it.kfu.ru" class="auth_mail" title="E-mail the corresponding author ; salvatore.distefano@polimi.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Chrysa Papagiannic ; chrisap@noc.ntua.gr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Antonio Puliafitoa ; apuliafito@unime.it" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae ; Symeon Papavassiliouc ; papavass@mail.ntua.gr" class="auth_mail" title="E-mail the corresponding authorAuthor Vitae
- 关键词：Cloud ; IoT ; Infrastructure as a Service ; Volunteer contribution ; Sensors and actuators ; Runtime customization
- 刊名：Future Generation Computer Systems
- 出版年：2016
- 出版时间：March 2016
- 年：2016
- 卷：56
- 期：Complete
- 页码：623-639
- 全文大小：2577 K
文摘
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Emulation of deployment comparing (i) prototype of MCSaaS and (ii) current practices.
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Modeling of MCSaaS paradigm by Petri nets and evaluation against conventional MCS.
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Description of architectural elements of the platform and their interactions.
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MCSaaS platform for mass deployment of MCS apps, and their elastic user base adaptation.
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Mobile crowdsensing as a service paradigm for MCS apps design and deployment.