Описание: Overviewing problems involved in engineering scalable, elastic, and cost-efficient cloud computing services, this book describes the CloudScale method a description of rescuing tools and the required steps to exploit these tools. With the CloudScale method, software architects can analyze both existing and planned IT services.
Описание: This book takes the novel approach to cover both the sequence and structure analysis of proteins in one volume and from an algorithmic perspective. Key features of the book include:* Provides a comprehensive introduction to the analysis of protein sequence and structure analysis.
Автор: Dariusz Mrozek Название: Scalable Big Data Analytics for Protein Bioinformatics ISBN: 3319988387 ISBN-13(EAN): 9783319988382 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Поставка под заказ.
Описание:
This book presents a focus on proteins and their structures. The text describes various scalable solutions for protein structure similarity searching, carried out at main representation levels and for prediction of 3D structures of proteins. Emphasis is placed on techniques that can be used to accelerate similarity searches and protein structure modeling processes.
The content of the book is divided into four parts. The first part provides background information on proteins and their representation levels, including a formal model of a 3D protein structure used in computational processes, and a brief overview of the technologies used in the solutions presented in the book. The second part of the book discusses Cloud services that are utilized in the development of scalable and reliable cloud applications for 3D protein structure similarity searching and protein structure prediction. The third part of the book shows the utilization of scalable Big Data computational frameworks, like Hadoop and Spark, in massive 3D protein structure alignments and identification of intrinsically disordered regions in protein structures. The fourth part of the book focuses on finding 3D protein structure similarities, accelerated with the use of GPUs and the use of multithreading and relational databases for efficient approximate searching on protein secondary structures.
The book introduces advanced techniques and computational architectures that benefit from recent achievements in the field of computing and parallelism. Recent developments in computer science have allowed algorithms previously considered too time-consuming to now be efficiently used for applications in bioinformatics and the life sciences. Given its depth of coverage, the book will be of interest to researchers and software developers working in the fields of structural bioinformatics and biomedical databases.
Автор: Gessert Felix, Wingerath Wolfram, Ritter Norbert Название: Fast and Scalable Cloud Data Management ISBN: 3030435059 ISBN-13(EAN): 9783030435059 Издательство: Springer Рейтинг: Цена: 19564.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Preface.- 1 Introduction.- 2 Latency in Cloud-Based Applications.- 3 HTTP for Globally Distributed Applications.- 4 Systems for Scalable Data Management.- 5 Caching in Research & Industry.- 6 Transactional Semantics.-7 Polyglot Persistence in Data Management.- 8 The NoSQL Toolbox: The NoSQL Landscape in a Nutshell.- 9 Summary & Future Trends.
Part I: Characteristics and Estimation of Software Projects for Distributed Computing
Modelling of Reusability Estimation in Software Design with External Constraints R. Selvarani and P. Mangayarkarasi
Estimation of Costs and Time for the Development of Distributed Software Manal El Bajta, Ali Idri, Joaquнn Nicolas Ros, Josй Luis Fernandez-Aleman, and Ambrosio Toval
Using COSMIC for the Functional Size Measurement of Distributed Applications in Cloud Environments Filomena Ferrucci, Carmine Gravino, and Pasquale Salza
Characteristics of Large-Scale Defense Projects and the Dominance of Software and Software Project Management Kadir Alpaslan Demir
Software Project Management as a Service (SPMaaS): Perspectives and Benefits Muthu Ramachandran and Vikrant Chaugule
Part II: Approached and Frameworks for Software Development and Software Project Management
Component-Based Hybrid Reference Architecture for Managing Adaptable Embedded Software Development Bo Xing
3PR Framework for Software Project Management: People, Processes, Products and Risks Kadir Alpaslan Demir
CrowdSWD: A Novel Framework for Crowdsourcing Software Development Inspired by the Concept of Biological Metaphor Tarek A. Ali, Eman S. Nasr, and Mervat H. Gheith
An Approach to Migrate and Manage Software: Cloud Based Requirements Management Areeg Samir
A Novel Approach to Modelling Distributed Systems - Using Large-Scale Multi-Agent Systems Bogdan Okresa Đuric
Part III: Advances in Software Project Management and Distributed Software Development
Optimizing Software Error Proneness Prediction using Bird Mating AlgorithmAmrit Pal, Harsh Jain, and Manish Kumar
i(mproved)Agile: A Customized Scrum Process for Project Management in Defense & Security Luigi Benedicenti, Paolo Ciancarini, Franco Cotugno, Angelo Messina, Alberto Sillitti, and Giancarlo Succi
Ontology Annotation for Software Engineering Project Management in Multi-site Distributed Software Development Environments Pornpit Wongthongtham, Udsanee Pakdeetrakulwong, and Syed Hassan Marzooq
Investigating the Scope for Agile Project Management to be Adopted by Higher Education Institutions Simon P Philbin
Software Project Management for Combined Software and Data Engineering Seyyed M. Shah, James Welch, Jim Davies, and Jeremy Gibbons
Автор: Pradipta Maji; Sushmita Paul Название: Scalable Pattern Recognition Algorithms ISBN: 3319379658 ISBN-13(EAN): 9783319379654 Издательство: Springer Рейтинг: Цена: 15372.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.
Автор: Cheng Jin; Sugih Jamin; Danny Raz; Yuval Shavitt Название: Building Scalable Network Services ISBN: 1461347114 ISBN-13(EAN): 9781461347118 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Building Scalable Network Services: Theory and Practice is on building scalable network services on the Internet or in a network service provider`s network.
Описание: This book constitutes the refereed proceedings of the 14th International Conference on Scalable Uncertainty Management, SUM 2020, which was held in Bozen-Bolzano, Italy, in September 2020. The 12 full, 7 short papers presented in this volume were carefully reviewed and selected from 30 submissions.
Автор: Pradipta Maji; Sushmita Paul Название: Scalable Pattern Recognition Algorithms ISBN: 3319056298 ISBN-13(EAN): 9783319056296 Издательство: Springer Рейтинг: Цена: 18167.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book addresses the need for a unified framework describing how soft computing and machine learning techniques can be judiciously formulated and used in building efficient pattern recognition models.
Описание: This book provides an overview of the problems involved in engineering scalable, elastic, and cost-efficient cloud computing services and describes the CloudScale method - a description of rescuing tools and the required steps to exploit these tools.
Автор: Baek-Young Choi; Zhi-Li Zhang; David Hung-Chang Du Название: Scalable Network Monitoring in High Speed Networks ISBN: 1489985638 ISBN-13(EAN): 9781489985637 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Network monitoring serves as the basis for a wide scope of network, engineering and management operations. This book presents accurate measurement schemes from both traffic and performance perspectives, and introduces some adaptive sampling techniques.
Автор: J. Rigden, Daniel (Ed.) Название: From Protein Structure to Function with Bioinformatics ISBN: 9402414827 ISBN-13(EAN): 9789402414820 Издательство: Springer Рейтинг: Цена: 41925.00 р. Наличие на складе: Поставка под заказ.
Описание: This book is about protein structural bioinformatics and how it can help understand and predict protein function. It covers structure-based methods that can assign and explain protein function based on overall folds, characteristics of protein surfaces, occurrence of small 3D motifs, protein-protein interactions and on dynamic properties. Such methods help extract maximum value from new experimental structures, but can often be applied to protein models. The book also, therefore, provides comprehensive coverage of methods for predicting or inferring protein structure, covering all structural classes from globular proteins and their membrane-resident counterparts to amyloid structures and intrinsically disordered proteins. The book is split into two broad sections, the first covering methods to generate or infer protein structure, the second dealing with structure-based function annotation. Each chapter is written by world experts in the field. The first section covers methods ranging from traditional homology modelling and fold recognition to fragment-based ab initio methods, and includes a chapter, new for the second edition, on structure prediction using evolutionary covariance. Membrane proteins and intrinsically disordered proteins are each assigned chapters, while two new chapters deal with amyloid structures and means to predict modes of protein-protein interaction. The second section includes chapters covering functional diversity within protein folds and means to assign function based on surface properties and recurring motifs. Further chapters cover the key roles of protein dynamics in protein function and use of automated servers for function inference. The book concludes with two chapters covering case studies of structure prediction, based respectively on crystal structures and protein models, providing numerous examples of real-world usage of the methods mentioned previously. This book is targeted at postgraduate students and academic researchers. It is most obviously of interest to protein bioinformaticians and structural biologists, but should also serve as a guide to biologists more broadly by highlighting the insights that structural bioinformatics can provide into proteins of their interest.
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