This book presents a range of cloud computing platforms for data-intensive scientific applications. It covers systems that deliver infrastructure as a service, including: HPC as a service; virtual networks as a service; scalable and reliable storage; algorithms that manage vast cloud resources and applications runtime; and programming models that enable pragmatic programming and implementation toolkits for e Science applications. Many scientific applications in clouds are also introduced, such as bioinformatics, biology, weather forecasting and social networks. Most chapters include case studies. Cloud Computing for Data-Intensive Applications targets advanced-level students and researchers studying computer science and electrical engineering. Professionals working in cloud computing, networks, databases and more will also find this book useful as a reference.
Daftar Isi
Scalable Deployment of a LIGO Physics Application on Public Clouds:Workflow Engine and Resource Provisioning Techniques.- The Future Grid Testbed for Big Data.- Cloud Networking to Support Data Intensive Applications.- Iaa S cloud benchmarking: approaches, challenges, and experience.- Adaptive Workload Partitioning and Allocation for Data Intensive Scientific Applications.- Federating Advanced Cyber Infrastructures with Autonomic Capabilities.- Executing Storm Surge Ensembles on PAAS Cloud.- Migrating Scientific Workflow Management Systems from the Grid to the Cloud.- Efficient Task-Resource Matchmaking Using Self-Adaptive Combinatorial Auction.- Cross-Phase Optimization in Map Reduce.- DRAW: A New Data-g Rouping-AWare Data Placement Scheme for Data Intensive Applications with Interest Locality.- Maiter: An Asynchronous Graph Processing Framework for Delta-based Accumulative Iterative Computation.- GPU-Accelerated Cloud Computing Data-Intensive Applications.- Big Data Storage and Processingon Azure Clouds: Experiments at Scale and Lessons Learned.- Storage and Data Lifecycle Management in Cloud Environments with FRIEDA.- DTaa S: Data Transfer as a Service in the Cloud.- Supporting a Social Media Observatory with Customizable Index Structures — Architecture and Performance.
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