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Full Description
Whether you're already in the cloud, or determining whether or not it makes sense for your organization, Cloud Computing and Software Services: Theory and Techniques provides the technical understanding needed to develop and maintain state-of-the-art cloud computing and software services. From basic concepts and recent research findings to future directions, it gathers the insight of 50 experts from around to present a global perspective on the range of technical topics related to cloud computing and Software as a Service (SaaS). The book also:
Reviews real cases and applications of cloud computing
Discusses the infrastructure cloud and Infrastructure as a Service (IaaS)
Considers data- and compute-intensive environments
Examines security and reliability in the cloud
Witten in a manner that makes this complex subject easy to understand, this is an ideal one-stop reference for anyone interested in cloud computing. The accessible language and wealth of illustrations also make it suitable for academic and research-oriented settings. The comprehensive coverage supplies you with the understanding of cloud computing technologies and trends in parallel computing needed to establish and maintain effective and efficient computing and software services.
Contents
Understanding the Cloud Computing Landscape. Science Gateways: Harnessing Clouds and Software Services for Science. Enterprise Knowledge Clouds: Next Generation Knowledge Management Systems? Real Cases and Applications of Cloud Computing. Large-Scale Data Processing. Toward a Reliable Cloud Computing Service. Abstractions for Cloud Computing with Condor. Exploiting the Cloud of Computing Environments: An Application's Perspective. Granules: A Lightweight Runtime for Scalable Computing with Support for Map-Reduce. Dynamic and Adaptive Rule-Based Workflow Engine for Scientific Problems in Distributed Environments. Transparent Cross-Platform Access to Software Services Using GridSolve and GridRPC. High-Performance Parallel Computing with Cloud and Cloud Technologies. BioVLAB: Bioinformatics Data Analysis Using Cloud Computing and Graphical Workflow Composers. A Scale-Out RDF Molecule Store for Efficient, Scalable Data Integration and Queryingl. Enabling XM L Capability for Hadoop and Its Applications in Healthcare. Toward a QoS-Focused SaaS Evaluation Model. Risk Evaluation-based Selection Approach for Transactional Services Composition.
