The low cost of hardware components and the rapid growth of a business model for<br>Cloud services are two important drivers for the success of the Cloud.<br>Nevertheless, most of the players today require also to analyze data available<br>on the Cloud with a holistic approach provided often by data mining techniques.<br>Under this respect, services designed for complex scenarios like Smart Cities<br>benefit of this new Cloud era.<br>The objective is to track and comprehend the flow of novelty in Cloud systems<br>and to put on the foreground all the features and related issues, with a<br>particular attention to the convergence of Cloud systems together with Smart<br>City systems and on the (re)use of open Cloud platforms for designing services<br>for Smart Cities.<br>Topics of interest include, but are not limited to the following:<br>– Experiences on the use of Cloud systems when applied to services designed for<br>Smart Cities;<br>– Analytical and simulation models and tools to measure systems scalability and<br>to achieve resource saving in socio–technical Smart City systems<br>– Novel adaptive management solutions for scalable, maintainable, cost–effective<br>– Cloud provision, at all software stack layers;<br>– New models and paradigms for the management of Cloud services at the host<br>level, within/between data centres (intra– /inter–domain);<br>– Big Data flows processing for Smart City scenarios;<br>– Relationship between IoT and Cloud systems in Smart City scenarios;<br>– (Re)use of open Cloud–integrated platforms for the design of Smart<br>Cities services.<br>
Abbrevation
MoCS
City
Heraklion, Crete
Country
Greece
Deadline Paper
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Abstract