Cloud Computing with E-Science Applications

ISBN-13: 9781466591158 / Angielski / Twarda / 2015 / 320 str.

Olivier Terzo; Lorenzo Mossucca

Opis

The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. This book describes how cloud computing can significantly improve data management in different scientific fields, such as bioinformatics, earth science, and computer science. This book focuses on how cloud computing helps in the areas of resource control, vertical and horizontal scalability, and adaptive scheduling.

Spis treści

Evaluation Criteria to Run Scientific Applications in the Cloud. Cloud-Based Infrastructure for Data-Intensive e-Science Applications: Requirements and Architecture. Securing Cloud Data. Adaptive Execution of Scientific Workflow Applications on Clouds. Migrating e-Science Applications to the Cloud: Methodology and Evaluation. Closing the Gap between Cloud Providers and Scientific Users. Assembling Cloud-Based Geographic Information Systems: A Pragmatic Approach Using Off-the-Shelf Components. HCloud, a Healthcare-Oriented Cloud System with Improved Efficiency in Biomedical Data Processing. RPig: Concise Programming Framework by Integrating R with Pig for Big Data Analytics. AutoDock Gateway for Molecular Docking Simulations in Cloud Systems. SaaS Clouds Supporting Biology and Medicine. Energy-Aware Policies in Ubiquitous Computing Facilities.