This book closely examines how universities and higher educational institutions have come to occupy a very significant position in the Chinese national Iinnovation system (NIS) in the last two decades. It looks at the growth, structure and current status of higher education in China and discusses how these world-class institutions are intimately intertwined with the rise of China in the global knowledge economy. It studies themes such as the impact of Chinese universities on industry, business enterprises and national development, relevance of higher education to policies related to industry development, reform measures to improve research intensity and quality of teaching, and internationalization and globalization of higher education. Based on sound empirical research, it also explores concepts like academic entrepreneurship, start-ups and entrepreneurial ecosystems. A key text on the Chinese education sector, the book will be of interest to scholars and researchers of higher education, Chinese studies, science, technology and innovation studies, business economics and management, academic entrepreneurship and public policy.
Sharp increase in house prices combined with the extraordinary Chinese lending growth during 2009 has led to concerns of an emerging real estate bubble. We find that, for China as a whole, the current levels of house prices do not seem significantly higher than would be justified by underlying fundamentals. However, there are signs of overvaluation in some cities’ mass-market and luxury segments. Unlike advanced economies before 2007-8, prices have tended to correct frequently in China.Given persistently low real interest rates, lack of alternative investment and mortgage-to-GDP trend, rapid property price growth in China has, and will continue to have,a structural driver.
Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue for the delivery of high quality cloud workflow applications. To address such an issue, this book presents a systematic investigation to the three critical aspects for the design of a cloud workflow system, viz. system architecture, system functionality and quality of service. Specifically, the system architecture for a cloud workflow system is designed based on the general four-layer cloud architecture, viz. application layer, platform layer, unified resources layer and fabric layer. The system functionality for a cloud workflow system is designed based on the general workflow reference model but with significant extensions to accommodate software services in the cloud. The support of QoS is critical for the quality of cloud workflow applications. This book presents a generic framework to facilitate a unified design and development process for software components that deliver lifecycle support for different QoS requirements. While the general QoS requirements for cloud workflow applications can have many dimensions, this book mainly focuses on three of the most important ones, viz. performance, reliability and security. In this book, the architecture, functionality and QoS management of our SwinDeW-C prototype cloud workflow system are demonstrated in detail as a case study to evaluate our generic design for cloud workflow systems. To conclude, this book offers a general overview of cloud workflow systems and provides comprehensive introductions to the design of the system architecture, system functionality and QoS management.
Cloud computing is the latest market-oriented computing paradigm which brings software design and development into a new era characterized by “XaaS”, i.e. everything as a service. Cloud workflows, as typical software applications in the cloud, are composed of a set of partially ordered cloud software services to achieve specific goals. However, due to the low QoS (quality of service) nature of the cloud environment, the design of workflow systems in the cloud becomes a challenging issue for the delivery of high quality cloud workflow applications. To address such an issue, this book presents a systematic investigation to the three critical aspects for the design of a cloud workflow system, viz. system architecture, system functionality and quality of service. Specifically, the system architecture for a cloud workflow system is designed based on the general four-layer cloud architecture, viz. application layer, platform layer, unified resources layer and fabric layer. The system functionality for a cloud workflow system is designed based on the general workflow reference model but with significant extensions to accommodate software services in the cloud. The support of QoS is critical for the quality of cloud workflow applications. This book presents a generic framework to facilitate a unified design and development process for software components that deliver lifecycle support for different QoS requirements. While the general QoS requirements for cloud workflow applications can have many dimensions, this book mainly focuses on three of the most important ones, viz. performance, reliability and security. In this book, the architecture, functionality and QoS management of our SwinDeW-C prototype cloud workflow system are demonstrated in detail as a case study to evaluate our generic design for cloud workflow systems. To conclude, this book offers a general overview of cloud workflow systems and provides comprehensive introductions to the design of the system architecture, system functionality and QoS management.
Sharp increase in house prices combined with the extraordinary Chinese lending growth during 2009 has led to concerns of an emerging real estate bubble. We find that, for China as a whole, the current levels of house prices do not seem significantly higher than would be justified by underlying fundamentals. However, there are signs of overvaluation in some cities’ mass-market and luxury segments. Unlike advanced economies before 2007-8, prices have tended to correct frequently in China.Given persistently low real interest rates, lack of alternative investment and mortgage-to-GDP trend, rapid property price growth in China has, and will continue to have,a structural driver.
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