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This open access book brings together perspectives from multiple
disciplines including psychology, law, IS, and computer science on
data privacy and trust in the cloud. Cloud technology has fueled
rapid, dramatic technological change, enabling a level of
connectivity that has never been seen before in human history.
However, this brave new world comes with problems. Several
high-profile cases over the last few years have demonstrated cloud
computing's uneasy relationship with data security and trust. This
volume explores the numerous technological, process and regulatory
solutions presented in academic literature as mechanisms for
building trust in the cloud, including GDPR in Europe. The massive
acceleration of digital adoption resulting from the COVID-19
pandemic is introducing new and significant security and privacy
threats and concerns. Against this backdrop, this book provides a
timely reference and organising framework for considering how we
will assure privacy and build trust in such a hyper-connected
digitally dependent world. This book presents a framework for
assurance and accountability in the cloud and reviews the
literature on trust, data privacy and protection, and ethics in
cloud computing.
This open access Pivot demonstrates how a variety of technologies
act as innovation catalysts within the banking and financial
services sector. Traditional banks and financial services are under
increasing competition from global IT companies such as Google,
Apple, Amazon and PayPal whilst facing pressure from investors to
reduce costs, increase agility and improve customer retention.
Technologies such as blockchain, cloud computing, mobile
technologies, big data analytics and social media therefore have
perhaps more potential in this industry and area of business than
any other. This book defines a fintech ecosystem for the 21st
century, providing a state-of-the art review of current literature,
suggesting avenues for new research and offering perspectives from
business, technology and industry.
The emergence of the Internet of Things (IoT), combined with
greater heterogeneity not only online in cloud computing
architectures but across the cloud-to-edge continuum, is
introducing new challenges for managing applications and
infrastructure across this continuum. The scale and complexity is
simply so complex that it is no longer realistic for IT teams to
manually foresee the potential issues and manage the dynamism and
dependencies across an increasing inter-dependent chain of service
provision. This Open Access Pivot explores these challenges and
offers a solution for the intelligent and reliable management of
physical infrastructure and the optimal placement of applications
for the provision of services on distributed clouds. This book
provides a conceptual reference model for reliable capacity
provisioning for distributed clouds and discusses how data
analytics and machine learning, application and infrastructure
optimization, and simulation can deliver quality of service
requirements cost-efficiently in this complex feature space. These
are illustrated through a series of case studies in cloud
computing, telecommunications, big data analytics, and smart
cities.
The importance of demonstrating the value achieved from IT
investments is long established in the Computer Science (CS) and
Information Systems (IS) literature. However, emerging technologies
such as the ever-changing complex area of cloud computing present
new challenges and opportunities for demonstrating how IT
investments lead to business value. Recent reviews of extant
literature highlights the need for multi-disciplinary research.
This research should explore and further develops the
conceptualization of value in cloud computing research. In
addition, there is a need for research which investigates how IT
value manifests itself across the chain of service provision and in
inter-organizational scenarios. This open access book will review
the state of the art from an IS, Computer Science and Accounting
perspective, will introduce and discuss the main techniques for
measuring business value for cloud computing in a variety of
scenarios, and illustrate these with mini-case studies.
The Internet of Things offers massive societal and economic
opportunities while at the same time significant challenges, not
least the delivery and management of the technical infrastructure
underpinning it, the deluge of data generated from it, ensuring
privacy and security, and capturing value from it. This Open Access
Pivot explores these challenges, presenting the state of the art
and future directions for research but also frameworks for making
sense of this complex area. This book provides a variety of
perspectives on how technology innovations such as fog, edge and
dew computing, 5G networks, and distributed intelligence are making
us rethink conventional cloud computing to support the Internet of
Things. Much of this book focuses on technical aspects of the
Internet of Things, however, clear methodologies for mapping the
business value of the Internet of Things are still missing. We
provide a value mapping framework for the Internet of Things to
address this gap. While there is much hype about theInternet of
Things, we have yet to reach the tipping point. As such, this book
provides a timely entree for higher education educators,
researchers and students, industry and policy makers on the
technologies that promise to reshape how society interacts and
operates.
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