The New Global Ecosystem In Advanced Computing

Computing and information and communications technology (ICT) has dramatically changed how we work and live, has had profound effects on nearly every sector of society, has transformed whole industries, and is a key component of U.S. global leadership. A fundamental driver of advances in computing and ICT has been the fact that the single-processor performance has, until recently, been steadily and dramatically increasing year over years, based on a combination of architectural techniques, semiconductor advances, and software improvements. Users, developers, and innovators were able to depend on those increases, translating that performance into numerous technological innovations and creating successive generations of ever more rich and diverse products, software services, and applications that had profound effects across all sectors of society. However, we can no longer depend on those extraordinary advances in single-processor performance continuing. This slowdown in the growth of single-processor computing performance has its roots in fundamental physics and engineering constraints-multiple technological barriers have converged to pose deep research challenges, and the consequences of this shift are deep and profound for computing and for the sectors of the economy that depend on and assume, implicitly or explicitly, ever-increasing performance. From a technology standpoint, these challenges have led to heterogeneous multicore chips and a shift to alternate innovation axes that include, but are not limited to, improving chip performance, mobile devices, and cloud services. As these technical shifts reshape the computing industry, with global consequences, the United States must be prepared to exploit new opportunities and to deal with technical challenges. The New Global Ecosystem in Advanced Computing: Implications for U.S. Competitiveness and National Security outlines the technical challenges, describe the global research landscape, and explore implications for competition and national security.

The U.S. information technology (IT) research and development (R&D) ecosystem was the envy of the world in 1995. However, this position of leadership is not a birthright, and it is now under pressure. In recent years, the rapid globalization of markets, labor pools, and capital flows have encouraged many strong national competitors. During the same period, national policies have not sufficiently buttressed the ecosystem, or have generated side effects that have reduced its effectiveness. As a result, the U.S. position in IT leadership today has materially eroded compared with that of prior decades, and the nation risks ceding IT leadership to other nations within a generation. Assessing the Impacts of Changes in the Information Technology R&D Ecosystem calls for a recommitment to providing the resources needed to fuel U.S. IT innovation, to removing important roadblocks that reduce the ecosystem's effectiveness in generating innovation and the fruits of innovation, and to becoming a lead innovator and user of IT. The book examines these issues and makes recommendations to strengthen the U.S. IT R&D ecosystem.

A hyperconnected, constantly evolving world has emerged. A world where people (internet of people), things (internet of things), and data (internet of data) are linked together, shaping the global economy while demanding new, innovative approaches for value creation. The era of hyper-connectivity is no longer characterized by centralized firm-centric business structures and traditional intra-firm and inter-firm processes. Open, distributed ecosystemic formations have started to emerge, utilizing cutting edge technologies to harness the collective power, co-creation ability, and intelligence of the crowd, the data, and the environment in an open participatory value co-creation mode. However, the question has become whether the frameworks, models, and tools that organizations use to create value will remain the same in the new business environment and within the organizations themselves. Existing literature on ecosystems, business models, and business model innovation are starting to examine these aspects. Emerging Ecosystem-Centric Business Models for Sustainable Value Creation explores emerging technology-enabled ecosystems and ecosystem-centric business models in theory and practice, from a business and technological perspective, and in a range of industrial settings, aiming to contribute to the existing knowledge of innovative technology-advanced ecosystems and business models, facilitating their design, implementation, and sustainable value creation. It examines the dynamics of this technology-powered revolution and how it is influencing the foundations of value creation and business modeling in novel ecosystemic formations across the HMD triangle: human, machine, and data. The target audience of this book is researchers and professionals in the fields of innovation, business, and strategy as well as computer science and information technology, along with managers, executives, practitioners, researchers, academicians, and students interested in new ways to create value in emerging and future ecosystems via innovative ecosystem-centric business models and strategies.

In this book, one hundred selected articles, in which the technology and science elite share, contribute to technology development, collaborate and evolve the latest cutting-edge technologies, open ecosystem resources, new innovative computing solutions, hands-on labs and tutorials, networking and community building, to ensure better integration of artificial intelligence into renewable energy systems. Innovation in computing continues at a growing pace. The key to success in this area is not only hardware, but also the ability to leverage rapid advances in artificial intelligence (including machine learning and deep learning), data analytics, data streaming, and cloud computing, which go hand in hand with intensive research activity on the underlying computational methods. The chapters in this book are organized into thematic sections on: advanced computing techniques; artificial intelligence; smart and sustainable cities; renewable energy systems; materials in renewable energy; smart energy efficiency; smart cities applications: recent developments and new trends; online, supervision of renewable energy platforms; predictive control in renewable systems; smart embedded systems for photovoltaic applications.

Ecosystem Services: Global Issues, Local Practices covers scientific input, socioeconomic considerations, and governance issues on ecosystem services. This book provides hands-on transdisciplinary reflections by administrators and sector representatives involved in the ecosystem service community. Ecosystem Services develops shared approaches and scientific methods to achieve knowledge-based sustainable planning and management of ecosystem services. Professionals engaged in ecosystem service implementation have two options: de-emphasize the ecological and socioeconomic complexity and advance in the theoretical, abstract field, or try to develop research that is policy relevant and inclusive in an uncertain environment. This book provides a wide overview of issues at stake, of interest for any professional wishing to develop a broader view on ecosystem service science and practice. Examines a broad scope of relevant issues to create common understanding in the ecosystem services community Includes contributions from several backgrounds, providing a broad, multidisciplinary view Offers recommendations to develop a thorough understanding and management of ecosystem services based on tools and research in larger territories as well as on local scales