This book introduces the epidemiological characteristics, etiology, molecular biology, virology and the latest research progress of COVID-19. It also presents the clinical manifestations, diagnosis and treatment of the new infectious disease. The content is based on literature review of a large number of relevant articles published in China and abroad, as well as the experience of medical workers in this field in China. In the pandemic, experts from major hospitals in Shanghai had successfully treated more than 300 patients with COVID-19. Their valuable experience in diagnosis and treatment has been summarized and included in the book. It is hoped that this book will be helpful to the vast number of readers who are concerned about the research progress and treatment of COVID-19.
This book introduces the epidemiological characteristics, etiology, molecular biology, virology and the latest research progress of COVID-19. It also presents the clinical manifestations, diagnosis and treatment of the new infectious disease. The content is based on literature review of a large number of relevant articles published in China and abroad, as well as the experience of medical workers in this field in China. In the pandemic, experts from major hospitals in Shanghai had successfully treated more than 300 patients with COVID-19. Their valuable experience in diagnosis and treatment has been summarized and included in the book. It is hoped that this book will be helpful to the vast number of readers who are concerned about the research progress and treatment of COVID-19.
Optimized Cloud Resource Management and Scheduling identifies research directions and technologies that will facilitate efficient management and scheduling of computing resources in cloud data centers supporting scientific, industrial, business, and consumer applications. It serves as a valuable reference for systems architects, practitioners, developers, researchers and graduate level students. Explains how to optimally model and schedule computing resources in cloud computing Provides in depth quality analysis of different load-balance and energy-efficient scheduling algorithms for cloud data centers and Hadoop clusters Introduces real-world applications, including business, scientific and related case studies Discusses different cloud platforms with real test-bed and simulation tools
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