• Create, deploy, and manage Datacentres, Private and Hybrid Clouds with hybrid hypervisors by using VMM 2012 SP1, App Controller, and Operations Manager.
• Integrate and...

vSphere...

Machine learning is a novel discipline concerned with the analysis of large and multiple variables data. It involves computationally intensive methods, like factor analysis, cluster analysis, and discriminant analysis. It is currently mainly the domain of computer scientists, and is already commonly used in social sciences, marketing...

This book examines new algorithms and tools, technology platforms and reconfigurable...

Ordered sets are ubiquitous in mathematics and have significant applications in computer science, statistics, biology and the social sciences. As the first book to deal exclusively with finite ordered sets, this book will be welcomed by graduate students and researchers in all of these areas. Beginning with definitions of key concepts and...

• Learn about Apache Lucene and ElasticSearch design and architecture to fully understand how this great search engine works
• Design, configure, and distribute your index, coupled...

• Complete coverage of all aspects of Cassandra
• Discusses prominent patterns, pros and cons, and use cases
• Contains briefs on integration...

The world of virtualization continues to expand, and the reach of Microsoft's  Hyper-V hypervisor continues to expand with it. This book seeks to reach beyond  simple, single-host hypervisor deployment, and provide guidance on clustering hosts  together for redundancy, performance, and more thorough utilization of...

Evolutionary algorithms (EAs) are metaheuristics that learn from natural collective behavior and are applied to solve optimization problems in domains such as scheduling, engineering, bioinformatics, and finance. Such applications demand acceptable solutions with high-speed execution using finite computational resources. Therefore, there have...

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