Design, Analysis, and Optimization of an End-to-End Cloud-Centric System for Internet of Things over HetNet

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Cloud computing, with a focus on developing novel methods and policies to safeguard and protect information assets in the cloud, is a top priority of the Committee on Information Management in Business (CIMB) of the Treasury Board Secretariat of Canada. Also of interest is the Internet of Things (IoT), a new computing and design paradigm addressing the proliferation of devices directly connected to the Internet. These devices will generate a deluge of data requiring continuous monitoring and analysis. Efficient storage and processing technology will be necessary to enable remote access and analysis for decision-making purposes. In recent years, there has been growing interest from Canadian businesses and institutions in exploiting the potential of cloud-centric systems to serve the needs of the IoT. In addition, organizations that maintain and handle sensitive information are concerned about data security in the cloud environment. The lack of an end-to-end framework for cloud-centric systems is a key factor delaying the widespread adoption of cloud technologies to serve the IoT. IoT data must be accessible ubiquitously and transmitted efficiently among devices and remote cloud data centres over a mobile cloud computing platform. Once the data is offloaded in the cloud, its privacy and integrity must be preserved, even in the presence of a semi-honest Cloud Service Provider (CSP), i.e. a disgruntled, profiteering or curious CSP. In this research program, our primary objective is to develop an end-to-end framework for cloud-centric systems for the IoT that consists of (1) novel IoT-driven radio resource management (RRM) algorithms that exploit a common pool of wireless radio resources in a HetNet to enhance the IoT data transmissions to the cloud through machine-to-machine (M2M) communications, and (2) a novel secure IoT data deduplication framework for cloud storage, assuming a semi-honest CSP. The outcomes of this research program are expected to have a profound impact on how cloud systems can integrate data from various sources. We will provide models for the design, analysis, and optimization of cloud-centric IoT systems over HetNets, along with a data deduplication scheme for securing the data access and storage in the cloud. We believe that this research proposal is timely, considering the increasing demand for cloud-centric systems for IoT from the government and businesses in the information technology sector.