Scalable Information Systems
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Scalable Information Systems
In view of the incessant growth of data and knowledge and the continued diversifi- tion of information dissemination on a global scale, scalability has become a ma- stream research area in computer science and information systems. The ICST INFO- SCALE conference is one of the premier forums for presenting new and exciting research related to all aspects of scalability, including system architecture, resource management, data management, networking, and performance. As the fourth conf- ence in the series, INFOSCALE 2009 was held in Hong Kong on June 10 and 11, 2009. The articles presented in this volume focus on a wide range of scalability issues and new approaches to tackle problems arising from the ever-growing size and c- plexity of information of all kind. More than 60 manuscripts were submitted, and the Program Committee selected 22 papers for presentation at the conference. Each s- mission was reviewed by three members of the Technical Program Committee.
Scalable Information Systems
This book constitutes the thoroughly refereed post-conference proceedings of the International Conference on Scalable Information Systems, INFOSCALE 2014, held in September 2014 in Seoul, South Korea. The 9 revised full papers presented were carefully reviewed and selected from 14 submissions. The papers cover a wide range of topics such as scalable data analysis and big data applications.
Edge-of-Things in Personalized Healthcare Support Systems
Edge-of-Things in Personalized Healthcare Support Systems discusses and explores state-of-the-art technology developments in storage and sharing of personal healthcare records in a secure manner that is globally distributed to incorporate best healthcare practices. The book presents research into the identification of specialization and expertise among healthcare professionals, the sharing of records over the cloud, access controls and rights of shared documents, document privacy, as well as edge computing techniques which help to identify causes and develop treatments for human disease. The book aims to advance personal healthcare, medical diagnosis, and treatment by applying IoT, cloud, and edge computing technologies in association with effective data analytics. - Provides an in-depth analysis of how to model and design applications for state-of-the-art healthcare systems - Discusses and explores the social impact of the intertwined use of emerging IT technologies for healthcare - Covers system design and software building principles for healthcare using IoT, cloud, and edge computing technologies with the support of effective and efficient data analytics strategies - Explores the latest algorithms using machine and deep learning in the areas of cloud, edge computing, IoT, and healthcare analytics