Angebote zu "Patterns" (13 Treffer)

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Percival, Harry: Architecture Patterns with Python
47,19 € *
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Erscheinungsdatum: 30.04.2020, Medium: Taschenbuch, Einband: Kartoniert / Broschiert, Titel: Architecture Patterns with Python, Titelzusatz: Enabling Test-Driven Development, Domain-Driven Design, and Event-Driven Microservices, Autor: Percival, Harry // Gregory, Bob, Verlag: O'Reilly UK Ltd., Sprache: Englisch, Schlagworte: Internet // Programmierung // Programmiersprachen // EDV // Theorie // Software-Entw // Software Engineering // COMPUTERS // Systems Architecture // General // Software Development & Engineering // Programming Languages // Python // Programmier // und Skriptsprachen // allgemein // Rechnerarchitektur und Logik-Entwurf, Rubrik: Programmiersprachen, Seiten: 276, Gewicht: 531 gr, Verkäufer: averdo

Anbieter: averdo
Stand: 03.08.2020
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Patterns Principles and Practices of Domain-Dri...
55,99 € *
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Patterns Principles and Practices of Domain-Driven Design ab 55.99 € als Taschenbuch: 1. Auflage. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,

Anbieter: hugendubel
Stand: 03.08.2020
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Patterns Principles and Practices of Domain-Dri...
38,99 € *
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Patterns Principles and Practices of Domain-Driven Design ab 38.99 € als epub eBook: . Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,

Anbieter: hugendubel
Stand: 03.08.2020
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Architecture Patterns with Python
56,49 € *
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Architecture Patterns with Python ab 56.49 € als Taschenbuch: Enabling Test-Driven Development Domain-Driven Design and Event-Driven Microservices. Aus dem Bereich: Bücher, Ratgeber, Computer & Internet,

Anbieter: hugendubel
Stand: 03.08.2020
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Managing Trade-offs in Adaptable Software Archi...
115,50 € *
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Managing Trade-Offs in Adaptable Software Architectures explores the latest research on adapting large complex systems to changing requirements. To be able to adapt a system, engineers must evaluate different quality attributes, including trade-offs to balance functional and quality requirements to maintain a well-functioning system throughout the lifetime of the system.This comprehensive resource brings together research focusing on how to manage trade-offs and architect adaptive systems in different business contexts. It presents state-of-the-art techniques, methodologies, tools, best practices, and guidelines for developing adaptive systems, and offers guidance for future software engineering research and practice.Each contributed chapter considers the practical application of the topic through case studies, experiments, empirical validation, or systematic comparisons with other approaches already in practice. Topics of interest include, but are not limited to, how to architect a system for adaptability, software architecture for self-adaptive systems, understanding and balancing the trade-offs involved, architectural patterns for self-adaptive systems, how quality attributes are exhibited by the architecture of the system, how to connect the quality of a software architecture to system architecture or other system considerations, and more.Explains software architectural processes and metrics supporting highly adaptive and complex engineeringCovers validation, verification, security, and quality assurance in system designDiscusses domain-specific software engineering issues for cloud-based, mobile, context-sensitive, cyber-physical, ultra-large-scale/internet-scale systems, mash-up, and autonomic systemsIncludes practical case studies of complex, adaptive, and context-critical systems

Anbieter: Dodax
Stand: 03.08.2020
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New generic top-level domain names and trademar...
71,90 € *
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This study examines the scope of protection for trademarks in situations where they have been used as Internet addresses, i.e. domain names. The focus of the analysis is on domain names registered in new generic top-level domain names (gTLDs) and on the related case practice by panels in two out-of-court administrative dispute resolution procedures, the Uniform Domain Name Dispute Resolution Policy (UDRP) established in 1999 and the Uniform Rapid Suspension System (URS), a new procedure introduced in 2013 to complement the UDRP. The point of view is primarily that of a trademark holder engaged in business. In total, 153 UDRP cases and 194 URS cases have been studied. The principal research questions are as follows. (i) What are the key elements of the new gTLD program? (ii) What empirical characteristics describe new gTLD cases? (iii) Have the new gTLDs brought about any changes to the previous interpretation of the three-prong test, and are there any common patterns or significant divergence relating to this interpretation within each procedure and between them? (iv) More generally, how could the advent of new gTLDs affect trademark protection?

Anbieter: Dodax
Stand: 03.08.2020
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Novel Techniques for Monitoring Network Traffic...
49,80 € *
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Research in Internet measurement provides us with new ways to understand, operate and improve the Internet. Learning from network traffic data requires a well-chosen set of analysis techniques. In this book we delve into novel techniques and their application on large data sets to extend the choice of analysis schemes. In particular, we focus on traffic data at the network level that is readily available from commercial routers in the form of flow metadata (e.g. NetFlow) to enable analyzes of ever growing traffic volumes with low demands on the measurement infrastructure.This book consists of two major parts.In a first part, we explore a promising approach to study unsolicited traffic without the need to reserve unpopulated IP address ranges to this task, as has been done in the past. Our approach is to study one-way traffic, i.e., packets that never receive a reply in live networks. We introduce a novel scheme to classify one-way traffic at the flow level into interpretable classes. We validate this scheme based on a data set that we prepare using all informative details available from packet data (e.g. header and payload contents). We use our classifier to shed light on the composition of one-way traffic, and illustrate how the particular class of “Unreachable Services” can be used to passively detect network service outages by processing flow-level traffic data only. Moreover, to obtain a comprehensive view of one-way traffic, we conduct a large-scale study covering eight years of traffic data leading to new insights about the evolution of this exotic piece of traffic over time and space.In part two, we present novel visualization methods following the well-known adage 'A picture is worth a thousand words'. In particular, we tackle the problems of how to summarize data to extract the most relevant information from big data sets, and how to visualize this information in an easy interpretable way. We envision a top-down workflow that in a first step identifies probably hidden patterns in a data set captured from a potentially large network, followed by a second step that involves a closer inspection of the traffic of individual end systems or subnets. Specifically, we use frequent itemset mining to obtain a list of most relevant patterns from the traffic data of a network that we then visualize through hypergraphs. To drill down to traffic patterns of individual end systems we make use of a graph representation and a domain specific summarization scheme, which is based on the characteristics of typical host roles (e.g. client, server, P2P), to provide a quick overview of what roles an individual host assumes and what applications it runs. We demonstrate the usefulness of our approach by using proof-of-concept implementations in a number of illustrative case studies.

Anbieter: Dodax
Stand: 03.08.2020
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Transactions on Large-Scale Data- and Knowledge...
57,78 € *
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The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains. An increase in the demand for resource sharing across different sites connected through networks has led to an evolution of data- and knowledge-management systems from centralized systems to decentralized systems enabling large-scale distributed applications providing high scalability. Current decentralized systems still focus on data and knowledge as their main resource. Feasibility of these systems relies basically on P2P (peer-to-peer) techniques and the support of agent systems with scaling and decentralized control. Synergy between grids, P2P systems, and agent technologies is the key to data- and knowledge-centered systems in large-scale environments. This, the 20th issue of Transactions on Large-Scale Data- and Knowledge-Centered Systems, presents a representative and useful selection of articles covering a wide range of important topics in the domain of advanced techniques for big data management. Big data has become a popular term, used to describe the exponential growth and availability of data. The recent radical expansion and integration of computation, networking, digital devices, and data storage has provided a robust platform for the explosion in big data, as well as being the means by which big data are generated, processed, shared, and analyzed. In general, data are only useful if meaning and value can be extracted from them. Big data discovery enables data scientists and other analysts to uncover patterns and correlations through analysis of large volumes of data of diverse types. Insights gleaned from big data discovery can provide businesses with significant competitive advantages, leading to more successful marketing campaigns, decreased customer churn, and reduced loss from fraud. In practice, the growing demand for large-scale data processing and data analysis applications has spurred the development of novel solutions from both industry and academia.

Anbieter: Dodax
Stand: 03.08.2020
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New generic top-level domain names and trademar...
116,00 CHF *
ggf. zzgl. Versand

This study examines the scope of protection for trademarks in situations where they have been used as Internet addresses, i.e. domain names. The focus of the analysis is on domain names registered in new generic top-level domain names (gTLDs) and on the related case practice by panels in two out-of-court administrative dispute resolution procedures, the Uniform Domain Name Dispute Resolution Policy (UDRP) established in 1999 and the Uniform Rapid Suspension System (URS), a new procedure introduced in 2013 to complement the UDRP. The point of view is primarily that of a trademark holder engaged in business. In total, 153 UDRP cases and 194 URS cases have been studied. The principal research questions are as follows. (i) What are the key elements of the new gTLD program? (ii) What empirical characteristics describe new gTLD cases? (iii) Have the new gTLDs brought about any changes to the previous interpretation of the three-prong test, and are there any common patterns or significant divergence relating to this interpretation within each procedure and between them? (iv) More generally, how could the advent of new gTLDs affect trademark protection?

Anbieter: Orell Fuessli CH
Stand: 03.08.2020
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