Cloud Computing for Data-Intensive Applications

• Corporate Author: SpringerLink (Online service)
• Other Authors: Li, Xiaolin (Editor), Qiu, Judy (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York : Imprint: Springer, 2014.
• Subjects: Computer science.; Computer communication systems.; Computers.; Database management.; Computer Science.; Information Systems and Communication Service.; Computer Communication Networks.; Information Systems Applications (incl. Internet).; Database Management.

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 a...

Table of Contents:

• Scalable Deployment of a LIGO Physics Application on Public Clouds:Workflow Engine and Resource Provisioning Techniques
• The FutureGrid Testbed for Big Data
• Cloud Networking to Support Data Intensive Applications
• IaaS cloud benchmarking: approaches, challenges, and experience
• Adaptive Workload Partitioning and Allocation for Data Intensive Scientific Applications
• Federating Advanced CyberInfrastructures 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 MapReduce
• DRAW: A New Data-gRouping-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 Processing on Azure Clouds: Experiments at Scale and Lessons Learned
• Storage and Data Lifecycle Management in Cloud  Environments with FRIEDA
• DTaaS: Data Transfer as a Service in the Cloud
• Supporting a Social Media Observatory with Customizable Index Structures — Architecture and Performance.