ABSTRACT
The growth of smart gadgets and devices in the field of the Internet of Things (IoT) has been exponential. This prompts a requirement for developing effective information storage systems. In any case, in the following years, it is normal that we will be unable to deal with the tremendous measure data produced by the IoT gadgets using cloud computing effectively because of transmission capacity constraints. Edge and fog data processing is getting pervasive in the field of information examination and analysis. The assessment is dependent upon the steady nature of the data being taken care of in the cloud and its availability around at that point. In this chapter, we present a comprehensive study of different techniques for capacity across fog gadgets and edge frameworks. While two or three works outlined the benefits of these foundations specifically for IoT applications, basic Cloud benefits that can exploit the geo-dispersion of assets have not been proposed at this point. In a future IoT-commanded condition, most of the information will be delivered at the edge, which might be moved to the system center. We also present the usage of filters for data retrieval from the storage 242device and present a comparison of Bloom and Cuckoo filters. Finally, we present a study of the various kinds of protocols of the P2P system for the architectural arrangement of the devices.
