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Google Cloud Computing Services
Abstract
This chapter provides an overview of the most important Google Cloud Platform (GCP) services and describes some important use cases for these services. GCP is made up of almost 40 services that meet a variety of computing, storage, and networking needs. Google Cloud Platform is a suite of cloud computing services that includes compute, storage, and networking services designed to meet the needs of a wide range of cloud computing customers. Small businesses may be attracted to virtual machines (VMs) and storage services. Large businesses and other sizable organizations may be more interested in access to highly scalable clusters of VMs, a variety of relational and NoSQL databases, specialized networking services, and advanced artificial intelligence and machine learning capabilities. Public cloud services provide a range computing services options. At one end of the spectrum, customers can create and manage VMs themselves. This model gives the cloud user the greatest control of all the computing services. Users can choose the operating system to run, which packages to install, and when to back up and perform other maintenance operations.
Cyber risk, defined as the risk of loss from dependence on computer systems and digital technologies, has grown in the financial system. Cyber events, especially cyberattacks, are among the top risks cited in financial stability surveys in the United States and globally.
The exponentially growing Internet of Things (IoT) market presents compelling opportunities for innovators to develop and create meaningful applications affecting everyday life. This shifting IoT paradigm is placing new demands on educational institutions to train students with IoT-relevant skills. Numerous education researchers continue to document the implementation of IoT-based curriculum, pedagogy, and assessment techniques for STEM education. In this paper, we systematically reviewed this literature and identified 60 journal articles and conference papers that have reported implementing IoT curriculum and associated instructional approaches, educational technologies, and assessment strategies for K-12 and university students. The curriculum, pedagogy, and assessment strategies presented in these studies were analyzed in the context of the sensing, networking, services, and interface layers of the IoT technology paradigm. The review identifies best educational practices and synthesizes actionable strategies for educators to implement effective IoT learning experiences for students. These strategies leverage low-cost IoT hardware, open-source IoT software, active learning-based instructional approaches, and direct/indirect assessment methods. As IoT education becomes increasingly pervasive, the review and strategies provided in this paper may serve as a guide for future educational efforts.
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