Cloud Computing for Data-Intensive Applications

Cloud Computing for Data-Intensive Applications

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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 eScience 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.IaaS. Clouds. The Amazon Elastic Compute Cloud (EC2) [34] pioneered the commercial offering of public cloud services. ... EC2 uses the Xen hypervisor to host VMs that are connected through routed Xen network setup, i.e., the first hop of VMs is the domain zero (Dom0) they are connected to. ... Virtual Private Cloud (VPC): enables users to launch instances in an isolated (private) section of EC2 cloud.

Title:Cloud Computing for Data-Intensive Applications
Author: Xiaolin Li, Judy Qiu
Publisher:Springer - 2014-12-02

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