Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses. 

The transformation towards EPCglobal networks requires technical equipment for capturing event data and IT systems to store and exchange them with supply chain participants. For the very first time, supply chain participants thus need to face the automatic exchange of event data with business partners. Data protection of sensitive business secrets is therefore the major aspect that needs to be clarified before companies will start to adopt EPCglobal networks. This book contributes to this proposition as follows: it defines the design of transparent real-time security extensions for EPCglobal networks based on in-memory technology. For that, it defines authentication protocols for devices with low computational resources, such as passive RFID tags, and evaluates their applicability. Furthermore, it outlines all steps for implementing history-based access control for EPCglobal software components, which enables a continuous control of access based on the real-time analysis of the complete query history and a fine-grained filtering of event data. The applicability of these innovative data protection mechanisms is underlined by their exemplary integration in the FOSSTRAK architecture.

Recent achievements in hardware and software developments have enabled the introduction of a revolutionary technology: in-memory data management. This technology supports the flexible and extremely fast analysis of massive amounts of data, such as diagnoses, therapies, and human genome data. This book shares the latest research results of applying in-memory data management to personalized medicine, changing it from computational possibility to clinical reality. The authors provide details on innovative approaches to enabling the processing, combination, and analysis of relevant data in real-time. The book bridges the gap between medical experts, such as physicians, clinicians, and biological researchers, and technology experts, such as software developers, database specialists, and statisticians. Topics covered in this book include - amongst others - modeling of genome data processing and analysis pipelines, high-throughput data processing, exchange of sensitive data and protection of intellectual property. Beyond that, it shares insights on research prototypes for the analysis of patient cohorts, topology analysis of biological pathways, and combined search in structured and unstructured medical data, and outlines completely new processes that have now become possible due to interactive data analyses.

The transformation towards EPCglobal networks requires technical equipment for capturing event data and IT systems to store and exchange them with supply chain participants. For the very first time, supply chain participants thus need to face the automatic exchange of event data with business partners. Data protection of sensitive business secrets is therefore the major aspect that needs to be clarified before companies will start to adopt EPCglobal networks. This book contributes to this proposition as follows: it defines the design of transparent real-time security extensions for EPCglobal networks based on in-memory technology. For that, it defines authentication protocols for devices with low computational resources, such as passive RFID tags, and evaluates their applicability. Furthermore, it outlines all steps for implementing history-based access control for EPCglobal software components, which enables a continuous control of access based on the real-time analysis of the complete query history and a fine-grained filtering of event data. The applicability of these innovative data protection mechanisms is underlined by their exemplary integration in the FOSSTRAK architecture.