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

云计算的重点是开发新的方法和政策，以保障和保护云中的信息资产，这是加拿大财政委员会秘书处商业信息管理委员会（CIMB）的首要任务。物联网（IoT）也是一种新的计算和设计范式，解决了直接连接到互联网的设备的激增。这些设备将产生大量需要持续监测和分析的数据。高效的存储和处理技术将是必要的，以便能够为决策目的进行远程访问和分析。近年来，加拿大企业和机构越来越有兴趣利用以云为中心的系统的潜力来满足物联网的需求。此外，维护和处理敏感信息的组织担心云环境中的数据安全。缺乏以云为中心的系统的端到端框架是延迟云技术广泛采用以服务于物联网的关键因素。物联网数据必须无处不在，并通过移动的云计算平台在设备和远程云数据中心之间高效传输。一旦数据在云中卸载，其隐私和完整性必须得到保护，即使存在半诚实的云服务提供商（CSP），即不满，牟取暴利或好奇的CSP。在这项研究计划中，我们的主要目标是为物联网的以云为中心的系统开发一个端到端框架，该框架包括：（1）新型物联网驱动的无线电资源管理（RRM）算法，该算法利用HetNet中的无线电资源的公共池来增强物联网数据通过机器对机器（M2M）通信传输到云，以及（2）用于云存储的新型安全物联网数据去重框架，假设半诚实CSP。这项研究计划的成果预计将对云系统如何整合来自各种来源的数据产生深远的影响。我们将提供用于设计、分析和优化基于HetNet的以云为中心的物联网系统的模型，沿着数据重复删除方案，以保护云中的数据访问和存储。考虑到政府和信息技术领域的企业对物联网云中心系统的需求日益增加，我们认为这项研究提案是及时的。

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.