Develop and manage chemical information systems This text provides a comprehensive overview of analyzing chemical problems using computer-aided methods for both newcomers and advanced computer scientists and chemists. In addition to practical how-to information and step-by-step descriptions, this resource includes case studies from Merck &amp; Co., Inc., to further aid your understanding. This guide covers a wide range of cheminformatics topics, including: * Software development principles * Object-oriented approach * Building and buying * Agile and Iterative Development Process * UML Modeling * Deployment and Software Architecture * Presentation, Business, and Data Persistence Layer * Producing an entity dictionary * Chemistry Intelligence API * Plug and play--integrating with third-party tools Written by a former lead architect on the design of said systems at Merck &amp; Co., Inc., this text not only lays out information, but also shares the author's experiences and advice on cheminformatics.

Developing Chemical Information Systems: An Object-Oriented Approach Using Enterprise Java

Computers & Technology

Li, Fan

Programming

wiley

Medical Microbiology(Chinese Edition)

Science & Math

Huang, Min

Xu Zhi Kai

Biological Sciences

人民卫生出版社

Chinese Democracy Development Report 2006/2007 (Paperback)

Politics & Social Sciences

Politics & Government

IP; 1 (5 2007 1 May)

Cultivating more happiness in life(Chinese Edition)

Guangdong Tourism Press

Resource Allocation in Network Function Virtualization: Problems, Models and Algorithms

Network Function Virtualization (NFV) has recently attracted considerable attention from both research and industrial communities.&nbsp;Numerous papers have been published regarding solving the resource- allocation problems in NFV, from various perspectives, considering different constraints, and adopting a range of techniques. However, it is difficult to get a clear impression of how to understand and classify different kinds of resource allocation problems in NFV and how to design solutions to solve these problems efficiently. This book addresses these concerns by offering a comprehensive overview and explanation of different resource allocation problems in NFV and presenting efficient solutions to solve them. It covers resource allocation problems in NFV, including an introduction to NFV and QoS parameters modelling as well as related problem definition, formulation and the respective state-of-the-art algorithms. This book allows readers to gain a comprehensive understanding of and deep insights into the resource allocation problems in NFV. It does so by exploring (1) the working principle and architecture of NFV, (2) how to model the Quality of Service (QoS) parameters in NFV services, (3) definition, formulation and analysis of different kinds of resource allocation problems in various NFV scenarios, (4) solutions for solving the resource allocation problem in NFV, and (5) possible future work in the respective area. <div> </div>

Business & Money

Yang, Song

Fu, Xiaoming

He, Nan

Management & Leadership

Springer

Incentive Mechanism for Mobile Crowdsensing: A Game-theoretic Approach (SpringerBriefs in Computer Science)

Zhang, Chuan

Li, Youqi

Reference

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