Distributed caching for wireless IoT

Abstract

The future Internet will be connecting billions of low power embedded devices. This globally connected network of small embedded devices is thought to be generating most of the traffic carried over the future Internet backbone. This new Internet containing billions of small embedded devices are the Internet of Things (IoT). Furthermore, significant portion of the information data generated by the IoT networks will need to be stored in data centers contributing to the scalability issues already affecting the Internet. New and novel solutions need to be created to prevent this data explosion's impact on the Internet infrastructure. In view of this thesis, an uncommon dispersed cache solution was proposed to reduce the impact of the IoT traffic on the Internet backbone. In this solution, the generated data is processed and stored within the IoT network securely via a distributed storage solution. This solution utilizes the properties of Maximum Distance Separable codes (MDS) to create an agreement between the network bandwidth and storage area. This solution will enable storing the sensor data at the network edge trying to tackle the scalability challenges imposed on the Internet by billions of IoT devices. In this study, low power wireless device networks are partitioned into disjoint cliques with minimum overlap to reliably store the generated sensor data within these disjoint cliques in a distributed manner. Furthermore, the proposed wireless storage solution creates optimal clique coverage to boost the accuracies of the caching system.