Industry Trends In Cloud Computing

Exploring the Cloud Computing (CC) commercial landscape as it matures; this book asserts that the key ingredient in sustaining the Software as a Service (SaaS) business model is subscription renewal. Chronicling the evolution and future trajectory of the CC concept, the authors examine the new paradigm it is creating for the distribution of computer software applications among business-to-business (B2B) clients. CC enabled SaaS has been fundamentally changing the revenue expectations and business model for the application software industry, and impacting on how SaaS providers pursue, acquire and retain B2B clients. Securing SaaS subscription renewal is critical to the survival and prosperity of this business as attrition can have a significant impact on the financial viability of SaaS businesses based on this model. Focusing on the B2B client and the SaaS industry dependency on renewal subscriptions delivered through the CC channel, the primary research presented in this book seeks to examine the key drivers behind the B2B SaaS subscription renewal decision and, in doing so, to explore the recurring revenue framework for the Cloud SaaS business.

Academic scholars and industry professionals alike face the formidable challenge of staying informed about emerging trends and innovations in cloud computing. The expansive realm of cloud technology has been the catalyst for several transformative changes across industries, offering unparalleled opportunities for optimization and innovation. However, even seasoned experts may find themselves daunted by the intricate web of new technologies, including green cloud computing, edge computing, cryptography in the cloud, load balancing strategies, and cloud analytics insights. Emerging Trends in Cloud Computing: Analytics, Scalability, and Service Models provides academic scholars and industry professionals with a comprehensive exploration of these critical cloud computing topics and more. This invaluable resource provides clarity and insight, serving as a guiding beacon in the ever-evolving world of cloud technology. Whether you're seeking to understand the intricacies of cloud security solutions, the nuances of scalability in cloud computing, or the various service models in the cloud, this book empowers you to navigate this dynamic field with confidence and expertise.

It is essential for an organization to know before involving themselves in cloud computing and big data, what are the key security requirements for applications and data processing. Big data and cloud computing are integrated together in practice. Cloud computing offers massive storage, high computation power, and distributed capability to support processing of big data. In such an integrated environment the security and privacy concerns involved in both technologies become combined. This book discusses these security and privacy issues in detail and provides necessary insights into cloud computing and big data integration. It will be useful in enhancing the body of knowledge concerning innovative technologies offered by the research community in the area of cloud computing and big data. Readers can get a better understanding of the basics of cloud computing, big data, and security mitigation techniques to deal with current challenges as well as future research opportunities.

Business and IT organizations are currently embracing new strategically sound concepts in order to be more customer-centric, competitive, and cognitive in their daily operations. While useful, the various software tools, pioneering technologies, as well as their unique contributions largely go unused due to the lack of information provided on their special characteristics. Novel Practices and Trends in Grid and Cloud Computing is a collection of innovative research on the key concerns of cloud computing and how they are being addressed, as well as the various technologies and tools empowering cloud theory to be participative, penetrative, pervasive, and persuasive. While highlighting topics including cyber security, smart technology, and artificial intelligence, this book is ideally designed for students, researchers, and business managers on the lookout for innovative IT solutions for all the business automation software and improvisations of computational technologies.

Cloud Computing: Business Trends and Technologies provides a broad introduction to Cloud computing technologies and their applications to IT and telecommunications businesses (i.e., the network function virtualization, NFV). To this end, the book is expected to serve as a textbook in a graduate course on Cloud computing. The book examines the business cases and then concentrates on the technologies necessary for supporting them. In the process, the book addresses the principles of – as well as the known problems with – the underlying technologies, such as virtualization, data communications, network and operations management, security and identity management. It introduces, through open-source case studies (based on OpenStack), an extensive illustration of lifecycle management. The book also looks at the existing and emerging standards, demonstrating their respective relation to each topic. Overall, this is an authoritative textbook on this emerging and still-developing discipline, which •Guides the reader through basic concepts, to current practices, to state-of-the-art applications. •Considers technical standards bodies involved in Cloud computing standardization. •Is written by innovation experts in operating systems and data communications, each with over 20 years’ experience in business, research, and teaching.

Cloud computing is the most transformative force in today's computer industry. Big trends are converging. They change how we think about computers, how we operate them, and how we use them to create new possibilities for businesses and individuals. It's also the next iteration of open source; it taps the wellspring of innovation wherever that innovation is taking place and puts users, not vendors, in the forefront of technology decisions and directions. In this book, Gordon Haff takes you on a journey from the past through tomorrow. From early cloud computing analogues in the early days of standardized manufacturing, through today's rapidly evolving IT operations, through the morphing world of application development, to an open and hybrid future that's just beginning to unfold. It begins with perspectives on how cloud computing arrived where it is today. Historical context matters given that so many of today's trends are reinventions or reimaginings of trends past. Nowhere is this truer than in cloud computing. Next up is openness in clouds. For all the possibilities it creates, cloud computing also creates potentially new vendor control points. But openness isn't just about open source-although open source is part of it. Openness is about everything from communities to interfaces. Cloud, like so much of the modern computing world, is very much a child of the open source model and everything associated with it. The book then gets more nuts-and-bolts about a hybrid cloud management architecture able to encompass both computing resources at public cloud providers and an organization's own IT department. I also offer some strategies for transitioning from a traditional IT approach to a more services-oriented cloud one. Operating a cloud covers the need for well-defined operational practices and systems management, as well as what security and risk mitigation really mean in a cloud context. Cloud computing is also about the developer. Platform-as-a-Service opens up new possibilities for enterprise application development. I describe the rise of PaaS and why customized applications are as important as ever. Finally, cloud computing is still just part of a broader landscape. Indeed, one of the reasons that cloud computing has garnered so much attention is that its convergence with data and mobility trends in particular is something of a self-reinforcing perfect storm. It's a storm that is changing the contours of computing.Gordon Haff is cloud evangelist for Red Hat, the leading provider of commercial open source software. He writes extensively on, speaks at customer and industry events about, and develops strategy for Red Hat's portfolio of open hybrid cloud solutions. Prior to Red Hat, as an IT industry analyst, Gordon advised companies on product and marketing strategies and was frequently quoted in publications like The New York Times as an industry expert.

This book examines research topics in IoT and Cloud and Fog computing. The contributors address major issues and challenges in IoT-based solutions proposed for the Cloud. The authors discuss Cloud smart and energy efficient services in applications such as healthcare, traffic, and farming systems. Targeted readers are from varying disciplines who are interested in designing and deploying the Cloud applications. The book can be helpful to Cloud-based IoT service providers, Cloud-based IoT service consumers, and Cloud service developers in general for getting the state-of-the-art knowledge in the emerging IoT area. The book also provides a strong foundation for researchers to advance further in this domain. Presents a variety of research related to IoT and Cloud computing; Provides the industry with new and innovative operational ideas; Pertinent to academics, researchers, and practitioners around the world.

This book is based on the research papers presented during The Institute of Industrial Engineers Asian Conference 2013 held at Taipei in July 2013. It presents information on the most recent and relevant research, theories and practices in industrial and systems engineering. Key topics include: Engineering and Technology Management Engineering Economy and Cost Analysis Engineering Education and Training Facilities Planning and Management Global Manufacturing and Management Human Factors Industrial & Systems Engineering Education Information Processing and Engineering Intelligent Systems Manufacturing Systems Operations Research Production Planning and Control Project Management Quality Control and Management Reliability and Maintenance Engineering Safety, Security and Risk Management Supply Chain Management Systems Modeling and Simulation Large scale complex systems