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A Hybrid Cloud for Smart City Management


Chintesh Mehta , Geetanjali Institute of Technical Studies; Ajay Kumar Sharma, Geetanjali Institute of Technical Studies


allocation, centralized, decentralized, Private Cloud, Public Cloud, QoS (Quality of Service) , resources, scheduling


Many Cities in various countries all over the world are developing into smart cities with significant adaptations in technologies such as IOT(Internet Of Things), Wireless Sensor Networking, Cloud Computing etc. The management of digital information for such cities and mining the essentials from such large amount of data is a big problem that can be resolved with the help of this Hybrid Cloud System. This system will provide efficient usage of resources and services provided by Cloud it also helps in improving the security of the vehicles and individuals in the city, management of traffic, increasing the comfort level of the citizens, minimize the usage of fuel and improve the fuel economy, avoid unwanted hazards and make it easier for the regulatory authorities to manage the city. There are many issues related to management of data over the cloud such as resource allocation, cyber security and scheduling of tasks etc. This system deals with managing resource allocation issues related to cloud and analyzing the data on the cloud to manage the city’s resources more efficiently. In this system a Hybrid Cloud is formed by combining the Private cloud system of the automobiles and Public cloud system of the local resources of the city. Here the private cloud that belongs to the automobile companies is used for providing information of the vehicles such as its location, navigation information and there status (whether active or not) for analysis purpose. Whereas the public cloud handles the information provided by the wireless sensors, traffic control stations, and other modules (for information gathering) spread throughout the city in a shared network environment provided by various Internet and Cloud Service Providers. In this paper a centralized resource allocation model is used for private cloud with repetitive constraint analysis to improve the Quality of Service (QOS) of the private cloud and a dynamic priority based round robin scheduling algorithm is used for resource allocation for the decentralized public cloud system.

Other Details:

Manuscript Id :RMSCRP050
Publication Date: 05/04/2017
Page(s): 243-246
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