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2014 2nd International Conference on Future Internet of Things and Cloud (FiCloud) (2014)
Barcelona, Spain
Aug. 27, 2014 to Aug. 29, 2014
ISBN: 978-1-4799-4357-9
pp: 464-470
ABSTRACT
With the increasing applications in the domains of ubiquitous and context-aware computing, Internet of Things (IoT) are gaining importance. In IoTs, literally anything can be part of it, whether it is sensor nodes or dumb objects, so very diverse types of services can be produced. In this regard, resource management, service creation, service management, service discovery, data storage, and power management would require much better infrastructure and sophisticated mechanism. The amount of data IoTs are going to generate would not be possible for standalone power-constrained IoTs to handle. Cloud computing comes into play here. Integration of IoTs with cloud computing, termed as Cloud of Things (CoT) can help achieve the goals of envisioned IoT and future Internet. This IoT-Cloud computing integration is not straight-forward. It involves many challenges. One of those challenges is data trimming. Because unnecessary communication not only burdens the core network, but also the data center in the cloud. For this purpose, data can be preprocessed and trimmed before sending to the cloud. This can be done through a Smart Gateway, accompanied with a Smart Network or Fog Computing. In this paper, we have discussed this concept in detail and present the architecture of Smart Gateway with Fog Computing. We have tested this concept on the basis of Upload Delay, Synchronization Delay, Jitter, Bulk-data Upload Delay, and Bulk-data Synchronization Delay.
INDEX TERMS
Logic gates, Cloud computing, Wireless sensor networks, Computer architecture, Performance evaluation, Internet of Things,fog computing, IoT, cloud computing, CoT, smart gateway
CITATION
Mohammad Aazam, Eui-Nam Huh, "Fog Computing and Smart Gateway Based Communication for Cloud of Things", 2014 2nd International Conference on Future Internet of Things and Cloud (FiCloud), vol. 00, no. , pp. 464-470, 2014, doi:10.1109/FiCloud.2014.83
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