Cloud Computing and Services Science

Inbunden, Engelska, 2012

Del i serien Service Science: Research and Innovations in the Service Economy

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Beskrivning

The Cloud Computing and Services Science book comprises a collection of the best papers presented at the International Conference on Cloud Computing and Services Science (CLOSER), which was held in The Netherlands in May 2011.

Produktinformation

Utgivningsdatum:2012-04-17
Mått:155 x 235 x 28 mm
Vikt:776 g
Format:Inbunden
Språk:Engelska
Serie:Service Science: Research and Innovations in the Service Economy
Antal sidor:390
Upplaga:2012
Förlag:Springer-Verlag New York Inc.
ISBN:9781461423256

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Innehållsförteckning

Object-oriented Service Clouds for Transdisciplinary Computing.- From Service Innovation to Service Engineering.- Adaptive Overlay Approach on the Inter-Cloud Environment.- Securing Virtual and Cloud Environments.- Achieving Market Liquidity through Autonomic Cloud Market Management.- Cost-performance Driven Resource Configuration for Database Applications in IaaS Cloud Environments.- Accelerating Service-oriented Workflows.- An Integrated Monitoring Infrastructure for Cloud Environments.- Service Development Abstraction: A Design Methodology and Development Toolset for Abstractive and Flexible Service-based Sofware.- Cloud Computing Costs and Benefits: An IT Management Point of View.- A Cloud Computing Medical Image Analysis and Collaboration Platform.- Applicability of NoSQL Databases to Mobile Networks: Case Home Location Register.- SLA-based Planning for Multi-domain Infrastructure as a Service.- Scheduling On-demand SaaS Services on a Shared Virtual Cluster.- Assessing Cloud Infrastructure Costs in Communications-intensive Applications.- Exploring Cloud Computing Techniques for Real-time Geoprocessing.- A Performance Evaluation of Block I/O Paravirtualization & Virtual Machine Images.- Dynamic Resource Allocation for Multi-tiered, Cluster-based Web Hosting Environments.- A Method for Experimental Analysis and Modeling of Virtualization Performance Overhead.- The Partition Cost Model for Load Balancing in MapReduce.- Author Index.