http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
"This practical book delves into new cloud computing technologies and indicates the main challenges for their development in the future, especially for resource management problems. By systematizing cloud resource management problems, it helps knowledgeable readers who are not subject matter experts in a topic but want to have an in-depth analysis. It provides a parallel programming model, MapReduce, to parallelize multidimensional analytical query processing. The text includes how to master the fundamental concepts and programming models and apply them successfully to reach objectives. The authors discuss how to maximize the value of existing scheduling algorithms from a theoretical point of view"-- Provided by publisher
1. Overview of cloud computing -- 2. Resource scheduling for cloud computing -- 3. Game theoretical allocation in a cloud datacenter -- 4. Multi-dimensional data analysis in a cloud datacenter -- 5. Data intensive applications with MapReduce -- 6. Large-scale multi-dimensional data aggregation -- 7. Multi-dimensional data analysis optimization -- 8. Real-time scheduling with MapReduce -- 9. Future for cloud computing
Includes bibliographical references (p. 187-202) and index
Chapman & Hall/CRC numerical analysis and scientific computing series