Concurrent processing of cloudlets in CloudSim-SimIoT environment

People are surrounded by tons of Big Data and in fact, the rate at which big data is being generated these days is phenomenal. Every digital process and social media is contributing to the already present vast amount of Big Data. Systems, sensors and mobile devices transmit it. According to worldwid...

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Hauptverfasser: Akilandeswari, P., Vennila, B., Srimathi, H.
Format: Tagungsbericht
Sprache:eng
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Zusammenfassung:People are surrounded by tons of Big Data and in fact, the rate at which big data is being generated these days is phenomenal. Every digital process and social media is contributing to the already present vast amount of Big Data. Systems, sensors and mobile devices transmit it. According to worldwide studies that are going on, it can be safely mentioned that Internet of Things is a major source of the Big Data. In this rapidly progressing world where IoT is still in its infancy, it is very important to understand and study the efficiency of these IoT devices in the cloud infrastructure. To adopt scalability in the cloud environment and to handle various kinds of file formats and complex data processing systems of big data are the inhibitions for cloud infrastructure to the development of processing time and cost effective. To fill this gap, SimIoT evolved and provide intercloud scalability. SimIoT is like an extended version of the CloudSim library which is specifically designed to test and simulate Internet of Things application under the cloud environment. In this paper, we have presented an algorithm which assimilates simultaneous finishing time for cloudlet process. This algorithm can help build the SimIoT where it has applications in sensors which can simultaneously sense multiple data and process them together.
ISSN:0094-243X
1551-7616
DOI:10.1063/1.5112277