Cloud computing is a new era of computer technology, and we are now using computer systems and methods, but also after a long time to build a little bit by bit, if you immediately give up straight to the cloud, will waste the previous investment; if not updated system will not keep up with new technology. The world we live in produces a huge amount of data continuously every day. This can lead to the data resource storage of the data center. Cloud computing adds capabilities dynamically without investing in new infrastructure and increases the computing capacity. Cloud computing offers many benefits such as lower cost, rapid provisioning, fast deployment, rapid re-constitution of services, etc.
This book is intended to cover state-of-the-art in Cloud Computing technologies and applications. The opening chapter of this book provides a cloud service information system that improves the sales of case companies’ products by changing the original promotion methods. It can help supervisors and employees to provide them with useful knowledge through the new system presented here to better decide on promotional activities. In addition, the data mining system can also amend the design of the customized product catalog based on market sales data and design a customized product catalog for different periods. Therefore, the effective use of data mining systems can help understand the customer’s buying behavior, so that decision-makers can formulate optimal policies. Cloud Computing has made software more attractive as a service and transformed a large part of the IT industry. At present, cloud computing is a popular topic for conferences and magazines. The target of cloud computing is to provide better utilization of software and data using virtualization technology. The unique attribute poses a lot of security risks in the cloud environment. In order to enhance security and save the resource of the cloud platform, in this paper, we present the essentials of Security Management of cloud computing. High-throughput next-generation sequencing (NGS) technologies have evolved rapidly and are reshaping the scope of genomics research. The substantial decrease in the cost of NGS techniques in the past decade has led to its rapid adoption in biological research and drug development. In this book, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and share the lessons we learned from the implementation of Rainbow, a cloud-based tool for large-scale genome sequencing data analysis. Cloud computing is touted as the next big thing in the Information Technology (IT) industry, which is going to impact the businesses of any size and yet the security issue continues to pose a big threat on it. The security and privacy issues persisting in cloud computing have proved to be an obstacle to its widespread adoption. In this book, we also look at these issues from a business perspective and how they are damaging the reputation of big companies. This book will serve as a comprehensive reference guide for students and researchers.