Showing posts with label modeling. Show all posts
Showing posts with label modeling. Show all posts

Real Optimization with SAP® APO Review

Real Optimization with SAP® APO
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Real Optimization with SAP® APO ReviewGood overview of SNP Optimizer. Does not get into details, but does show explain how optimizer works. Good examples of implementations for clients in various industries. Strictly concerned with SNP Optimizer. Good reference material but would not use on an on-going basis.Real Optimization with SAP® APO OverviewThis book describes and demonstrates how SAP APO can be used to tackle real optimization problems arising in industry. In a unique combination it deals with the aspects of model-building as well as with the implementation in commercial supply chain management software, SAPAPO being a typical example of an advanced planning system (APS).The authors address readers involved in optimization projects in which SAP and, particularly, SAPAPO are implemented in companies. These are the project designers, projects leaders, the IT personnel inside the companies, but also operations research practitioners, supply chain management consultants, and decision makers in the area of tool selection for optimization tasks.

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The Art of Testing Network Systems Review

The Art of Testing Network Systems
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The Art of Testing Network Systems ReviewThe Art of Testing Network Systems provides the professional network tester blueprints for designing, implementing, and understanding the results of network testing. It is an easy to read useful reference. I would recommend it to network testers, test managers and end users charged with understanding test plans.The Art of Testing Network Systems OverviewA comprehensive, hands-on guide to state-of-the-art network systems testing
A proven, inexpensive way of avoiding network slowdowns and failures, proactive network systems testing helps you to stop problems before they occur. The most complete, hands-on guide to network systems testing available, The Art of Testing Network Systems supplies you with all the hands-on guidance and information on testing tools you need to keep your network up and running.
Based on Robert W. Buchanan's decade of experience in product management, testing, consulting, and network administration at a number of leading network vendors and large users, The Art of Testing Network Systems:
Schools you in cutting-edge testing procedures, test configurations, and data collection and interpretation techniques
Shows you how to make testing an integral part of existing network management and troubleshooting tools and procedures
Provides detailed instructions on how to conduct testing on network applications and presentation layers, including client-server applications, database servers, and GUIs
Describes techniques for testing network transport layers, routers, switches, hubs, and WAN links
Features a comprehensive reference of available network testing products and tools
Includes instructive case studies from leading companies including American Express, Boeing, Motorola, Lehman Brothers, MCI, and American Airlines


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Service-Oriented Modeling (SOA): Service Analysis, Design, and Architecture Review

Service-Oriented Modeling (SOA): Service Analysis, Design, and Architecture
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Service-Oriented Modeling (SOA): Service Analysis, Design, and Architecture ReviewI have purchased and read many SOA books and they have all fallen into one of 2 camps. They are usually either "HOW-TO" implement a SOAP/XML/WSDL based request response guides with the standard buzzwords of SOA Governance, WS-*Everything and the Kitchen Sink*, and of course a vague description of how an Enterprise Service Bus magically does away with years a poorly implemented legacy systems. This is the first SOA book that I have read that did not waste my time with page after page trivial XML examples but actually presented an entire working formal language(extended or inspired by the UML component model I believe) to describe your existing environment("As-Is") and future-state architecture in everday terms understandable by business users and application developers. I'll admit when I read that the approach is both 'Holistic' and 'Anthropomorphic' I felt like I was being marketed some Ginko-Biloba pseudo mysticism but as I read through I understood that this is an approach to SOA, probably the first, to actually make the the underlying services and consolidation of services visible and tanglible in the way an architect builds a scale model of a proposed structure to provide an in depth understanding of the project to those who are unable to turn equations into 3D structures in there heads(which is most of us). The authors crowning achievement, in my opinon, is the realization that everything (Legacy System, Schedule Batch Job, Business Apporval Process, Business Rules, Storage) must be treated as 'Services' is a quantum leap for SOA that moves the concept of SOA from a vague buzzword to a concrete deliverable, tangible item.Service-Oriented Modeling (SOA): Service Analysis, Design, and Architecture OverviewAnswers to your most pressing SOA development questionsHow do we start with service modeling? How do we analyze services for better reusability? Who should be involved? How do we create the best architecture model for our organization? This must-read for all enterprise leaders gives you all the answers and tools needed to develop a sound service-oriented architecture in your organization.Praise for Service-Oriented ModelingService Analysis, Design, and Architecture"Michael Bell has done it again with a book that will be remembered as a key facilitator of the global shift to Service-Oriented Architecture. . . . With this book, Michael Bell provides that foundation and more-an essential bible for the next generation of enterprise IT."-Eric Pulier, Executive Chairman, SOA Software"Michael Bell's insightful book provides common language and techniques for business and technology organizations to take advantage of the SOA paradigm. By focusing modeling techniques on the business problem, Bell provides a way for professionals to work throughout the life cycle to create reusable and enduring services."-Mike Zbranak, CIO, Chase Card Services"This book will become an imperative business and technology service-oriented modeling recipe for any manager, architect, modeler, analyst, and developer in today's software development industry."-Jeff Schneider, CEO, MomentumSI"'Innovative' and 'groundbreaking' are words that best describe Michael Bell's Service-Oriented Modeling. It depicts a true service modeling approach that elegantly closes a clear and critical service modeling gap in the SOA industry. This holistic book ties these concepts together using real-world examples across a service life cycle that transitions services from ideas and concepts into production assets that deliver business value. A must-read for business and technical SOA practitioners."-Eric A. Marks, CEO, AgilePath Corporation"As hot as SOA is today, many business and technology professionals still find it challenging to mind the gap between their disparate methodologies and objectives. Herein Michael Bell speaks clearly to both camps in straightforward language, outlining disciplines each can use to communicate effectively and advance the realization of corporate aims. This book is a bible for all who seek to drive business/technology into the future."-Mark Edward Goodrich, Director, Investing Product Management, Reuters Media"This book takes senior IT architects and systems designers into the depths of modeling for SOA, with a fresh new perspective on tools, terminology, and how to turn the theory into practice. His full life-cycle approach balances process, control, and accountability to align all the participants in the delivery pipeline-clearing the road for successful SOA business solutions."-Phil Gilligan, Chief Technology Officer, EBS

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Object-Oriented Project Management with UML Review

Object-Oriented Project Management with UML
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Object-Oriented Project Management with UML ReviewThere is no doubt that this book is very good for somebody, who is going to start working in a software engineering environment. However, there are a couple of points which indicate that one should look around before deciding upon a purchase. (Even with the current price of 24 $)
Here are my points of concern:
- The chapter on object technology is really a half-hearted introduction and not very useful for getting started in this field.
- The book relies heavily on just a few references. Those references are recommended repeatedly. One of them is the doubtful 'Journey of a Software Professional' (Hint: Check out the mixed reviews.)
- The author can't resist recommending the 80-20 rule throughout the different project phases. This is hardly inventive and adds to a certain degree of repetitiveness.
- The case study is more entertaining than informative.
- The third part of the book (consisting of only one chapter) simply gives the impression that the book was rushed out for print.
I am not quite sure why this book merits a hardcover and on some occasions throughout the book, I could not help thinking that the layouters tried to increase the number of pages by adding a few commentary boxes ('Tips') here and there and enlarging diagrams to 'poster-size'.
Despite all those complaints, I have to say that the book helped me to gain an overview of the management process of a software product. But, after my first reading, it now gathers dust on the bookshelf ...Object-Oriented Project Management with UML OverviewAlmost all software projects are risky. The goal of every project manager is to somehow deal with the cost and schedule uncertainty while meeting your customer's needs. In Object-Oriented Project Management with UML, Murray Cantor describes an elegant, UML-based approach to managing object-oriented projects guaranteed to deliver high-quality software on time and within budget.Drawing on his experience managing major software projects at IBM and TASC, Cantor supplies you with:Proven ways to reap the benefits of using UML tools to tame most project demons and deliver optimal OO systemsTips on integrating object-based techniques with traditional methods for project planning, risk management, scheduling, time-phased budgeting, and moreExpert advice on how to handle all the important "people" issues that crop up during a development projectReal-life war stories that let you see firsthand what worked and what didn't on several major development projectsA full-length project example that walks you through every phase of a project told in terms of problems and solutionsVisit the companion Web site at www wiley.com/compbooks/cantor to find:Sample project schedules, budgets, database templates for managing use cases, and a work-breakdown structureA spreadsheet workbook for managing incremental developmentA development tracking diagramPrior to joining TASC, Dr.Cantor was a development manager at IBM, where he oversaw the development of high-end graphics and multimedia systems.

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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) Review

Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems)
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Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) ReviewThis book is great stuff for Enterprise Architects. The discussion of Zachman is better than any of the Zachman Institues articles. The explanation of the value of architectural meta-models is excellent.
On the down side, the meta-models presented are very good EXCEPT that the author still presents data as being a part of an application. Surely 20 or so years after James Martin we are past that. Applications with their own data schemata are to be avoided and suppressed, rather than endorsed.
If your are a "real" Enterprise Architect, then this is book indispensable, but review all of the meta-models carefully to insure that they comply with your particular religion.
Data Model Patterns: A Metadata Map (The Morgan Kaufmann Series in Data Management Systems) OverviewIn recent years, companies and government agencies have come to realize that the data they use represent a significant corporate resource, whose cost calls for management every bit as rigorous as the management of human resources, money, and capital equipment. With this realization has come recognition of the importance to integrate the data that has traditionally only been available from disparate sources. An important component of this integration is the management of the "metadata" that describe, catalogue, and provide access to the various forms of underlying business data. The "metadata repository" is essential keeping track both of the various physical components of these systems, but also their semantics. What do we mean by "customer?" Where can we find information about our customers? After years of building enterprise models for the oil, pharmaceutical, banking, and other industries, Dave Hay has here not only developed a conceptual model of such a metadata repository, he has in fact created a true enterprise data model of the information technology industry itself.* A comprehensive work based on the Zachman Framework for information architecture-encompassing the Business Owner's, Architect's, and Designer's views, for all columns (data, activities, locations, people, timing, and motivation)* Provides a step-by-step description of model and is organized so that different readers can benefit from different parts* Provides a view of the world being addressed by all the techniques, methods and tools of the information processing industry (for example, object-oriented design, CASE, business process re-engineering, etc.)* Presents many concepts that are not currently being addressed by such tools - and should be

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Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange Review

Modeling and Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange
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Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange ReviewIt is often the case that a new area of inquiry, comprised of elements from seemingly disparate disciplines, yields surprising insights. Zeigler's and Hammonds's effort is no exception. While linguistics has from time to time informed mathematics and computer science, to my knowledge little has been done to date towards the application of semantics and pragmatics to this type of data exchange.
The prose is concise, clear, and conversational. Given the complexity of the two topics and the more or less mutual exclusivity of their lexicons, readers whose experience has been acquired only in the one or the other of these two disciplines will nevertheless quickly become comfortable in this discussion. The authors provide many examples to illustrate their line of reasoning, all drawn from a wide variety of sources.
As an IT professional with 15 years' experience and an advanced degree in a foreign language, I found this book satisfying, illuminating, and provocative. While it is intended to address a specific engineering problem, its implications extend well beyond its stated purview. Heartily recommended for those who would like to think about the synergies of data engineering and pragmatics, and also for those who want to think about what might be beyond the horizon.Modeling & Simulation-Based Data Engineering: Introducing Pragmatics into Ontologies for Net-Centric Information Exchange OverviewData Engineering has become a necessary and critical activity for business, engineering, and scientific organizations as the move to service oriented architecture and web services moves into full swing. Notably, the US Department of Defense is mandating that all of its agencies and contractors assume a defining presence on the Net-centric Global Information Grid. This book provides the first practical approach to data engineering and modeling, which supports interoperabililty with consumers of the data in a service- oriented architectures (SOAs). Although XML (eXtensible Modeling Language) is the lingua franca for such interoperability, it is not sufficient on its own. The approach in this book addresses critical objectives such as creating a single representation for multiple applications, designing models capable of supporting dynamic processes, and harmonizing legacy data models for web-based co-existence. The approach is based on the System Entity Structure (SES) which is a well-defined structure, methodology, and practical tool with all of the functionality of UML (Unified Modeling Language) and few of the drawbacks. The SES originated in the formal representation of hierarchical simulation models. So it provides an axiomatic formalism that enables automating the development of XML dtds and schemas, composition and decomposition of large data models, and analysis of commonality among structures.Zeigler and Hammond include a range of features to benefit their readers. Natural language, graphical and XML forms of SES specification are employed to allow mapping of legacy meta-data. Real world examples and case studies provide insight into data engineering and test evaluation in various application domains. Comparative information is provided on concepts of ontologies, modeling and simulation, introductory linguistic background, and support options enable programmers to work with advanced tools in the area. The website of the Arizona Center for Integrative Modeling and Simulation, co-founded by Zeigler in 2001, provides links to downloadable software to accompany the book.* The only practical guide to integrating XML and web services in data engineering* Introduces linguistic levels of interoperability for effective information exchange* Covers the interoperability standards mandated by national and international agencies * Complements Zeigler's classic THEORY OF MODELING AND SIMULATION

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Spatial Conservation Prioritization: Quantitative Methods and Computational Tools Review

Spatial Conservation Prioritization: Quantitative Methods and Computational Tools
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Spatial Conservation Prioritization: Quantitative Methods and Computational Tools ReviewThis book provides a well-written and accessible introduction to new methods for quantitative conservation planning that have been developed over the past decade. Beyond an audience of planners who actually apply these methods, it is also suitable for conservation biologists who are looking for a general introduction to the concepts underlying this field. It would serve as a good textbook for a seminar in quantitative conservation planning, as the chapters generally combines a high level of detail with a style accessible to graduate and advanced undergraduate students.Spatial Conservation Prioritization: Quantitative Methods and Computational Tools OverviewHabitat loss and deterioration, climate change, and economic pressures for resource extraction have all led to a global loss of biodiversity. The limited resources available for conservation need to be used both effectively and efficiently in order to minimise further losses. Spatial conservation prioritization addresses the question of how we should allocate conservation effort and funds in space and time. While the benefits of quantitative conservation prioritization methods have been widely promoted, adoption of these methods in "real-world" planning and implementation is still in its infancy, partly due to the difficulty of identifying which methods and tools (if any) are suited to specific planning problems. Spatial Conservation Prioritization brings together a team of leading scientists to introduce the conceptual and methodological aspects of how to undertake spatial conservation planning in a quantitative manner. It provides the reader with information on when, why, and how to use which statistical and computational methods for conservation prioritization. Important topics underlying spatial prioritization including metapopulation modelling, population viability analysis modelling, species distribution modelling, and uncertainty analysis are discussed, as well as operational definitions and methods. The book includes chapters on the most widely used and latest software, and concludes with an insight into the future of the field.

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