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 fut
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.