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Fundamentals of Physics and Chemistry of the Atmosphere
Additive and Cancellative Interacting Particle Systems (Lecture Notes in Mathematics) by David Griffeath (Repost)
PI and the AGM: A Study in Analytic Number Theory and Computational Complexity by Jonathan M. Borwein (Repost)
Advances in Complex Function Theory (Lecture Notes in Mathematics) by W. E. Kirwan (Repost)
Synthetic inorganic chemistry a course of laboratory and classroom study by Arthur Alphonzo Blanchard (Repost)
Invitation to Law and Society - An Introduction to the Study of Real Law
Matrix Mathematics - Theory, Facts, and Formulas, Second Edition
Mathematics Probability, Markov Chains, Queues, and Simulation - The Mathematical Basis of Performance Modeling
-Physics, Topology, Logic and Computation: A Rosetta Stone- by John C. Baez adn Mike Stay
-Quantum Physics for Scientists and Technologists- by Paul Sanghera (Repost)
Algebraic Aspects of Cryptography (Algorithms and Computation in Mathematics) by Neal Koblitz (Repost)
Mathematics Mathematical Foundations of Computer Science 2004 [Repost]
Mathematics Mathematical Logic for Computer Science (3rd edition)
Physics Democracy and Public Space: The Physical Sites of Democratic Performance
Spaces of Holomorphic Functions in the Unit Ball (Graduate Texts in Mathematics) by Kehe Zhu (Repost)
An Introduction to Ergodic Theory (Graduate Texts in Mathematics) by Peter Walters (Repost)
Statistical and Thermal Physics - With Computer Applications
Introduction to the Physics of the Earth's Interior (Cambridge Topics in Mineral Ph) by Jean Paul Poirier (Repost)
Mathematics Symmetry Theory in Molecular Physics with Mathematica: A new kind of tutorial book (Repost)
THE GNOMON WORKSHOP CREATING A 3D FIGURE STUDY BOOKWARE ISO-LZ0
Additive and Cancellative Interacting Particle Systems (Lecture Notes in Mathematics) by David Griffeath (Repost)
PI and the AGM: A Study in Analytic Number Theory and Computational Complexity by Jonathan M. Borwein (Repost)
Advances in Complex Function Theory (Lecture Notes in Mathematics) by W. E. Kirwan (Repost)
Synthetic inorganic chemistry a course of laboratory and classroom study by Arthur Alphonzo Blanchard (Repost)
Invitation to Law and Society - An Introduction to the Study of Real Law
Matrix Mathematics - Theory, Facts, and Formulas, Second Edition
Mathematics Probability, Markov Chains, Queues, and Simulation - The Mathematical Basis of Performance Modeling
-Physics, Topology, Logic and Computation: A Rosetta Stone- by John C. Baez adn Mike Stay
-Quantum Physics for Scientists and Technologists- by Paul Sanghera (Repost)
Algebraic Aspects of Cryptography (Algorithms and Computation in Mathematics) by Neal Koblitz (Repost)
Mathematics Mathematical Foundations of Computer Science 2004 [Repost]
Mathematics Mathematical Logic for Computer Science (3rd edition)
Physics Democracy and Public Space: The Physical Sites of Democratic Performance
Spaces of Holomorphic Functions in the Unit Ball (Graduate Texts in Mathematics) by Kehe Zhu (Repost)
An Introduction to Ergodic Theory (Graduate Texts in Mathematics) by Peter Walters (Repost)
Statistical and Thermal Physics - With Computer Applications
Introduction to the Physics of the Earth's Interior (Cambridge Topics in Mineral Ph) by Jean Paul Poirier (Repost)
Mathematics Symmetry Theory in Molecular Physics with Mathematica: A new kind of tutorial book (Repost)
THE GNOMON WORKSHOP CREATING A 3D FIGURE STUDY BOOKWARE ISO-LZ0
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Study Distributed Applications - Integrating Xml Web Services And .Net Remoting
Posted on 2010-03-15
|
More MS Press | Feb 2003 | ISBN: 0735619336 | English | 752 pages | CHM | Size (for download): 5 MB Make the jump to distributed application programming using the .NET Framework—and introduce a new level of performance, scalability, and security to your network and enterprise applications. Expert .NET developer Matthew MacDonald shares proven techniques for fully exploiting .NET Remoting, XML Web services, and other .NET technologies and integrating them into your real-world solutions. MacDonald digs into key .NET building blocks and architectural issues, explaining which features and designs will best serve your customized distributed application projects—and when to use them. Case studies with full code examples illustrate these practical techniques in action, as well as demonstrating their benefits and tradeoffs. It's been roughly seven years since distributed application architecture first gained recognition in the business world. Back then, exciting new technologies such as COM/DCOM and CORBA/IIOP promised to revolutionize the way that large-scale, resource-intensive applications were built. Instead of trying to host a single monolithic application on a single computer, distributed architecture allowed software to be modeled as a group of objects communicating across different machines. Best of all, these machines no longer needed to be proprietary mainframes—instead, developers could use inexpensive servers running the MS Windows operating system. Increasing the overall throughput of the system was often as easy as just adding an extra computer to the mix. All this has made distributed programming one of the most exciting and hotly pursued areas of software programming, but it hasn't made up for some critical stumbling blocks. Quite simply, distributed applications are complicated. Programming a distributed application on the Windows platform requires a solid understanding of MS's COM standard, its enterprise software and component services (such as SQL Server and COM ), and a healthy dose of painfully won experience. And no matter how skilled the programmer, a distributed programming project can quickly mushroom into a collection of versioning nightmares, interoperability headaches, and unexpected performance bottlenecks. These problems are the key factors behind the creation of MS's .NET platform. MS .NET provides an entirely new model for creating components, communicating across computers, and accessing data—one that is optimized for distributed applications on every level. This framework still requires a healthy investment of developer time and a fairly steep learning curve for novice programmers. After the basics are mastered, however, .NET makes it dramatically easier to create truly scalable software systems. This book explores distributed programming with .NET. It details the key .NET technologies you need to master and explains the best practices for distributed application architecture with .NET. Best of all, it shows you how the separate .NET technologies can all fit together. TABLE OF CONTENT: Chapter 01 - Understanding Distributed Architecture Chapter 02 - .NET Components Chapter 03 - Disconnected Data: The Universal Language Chapter 04 - .NET Remoting: A More Durable DCOM Chapter 05 - XML Web Services (RPC the Easy Way) Chapter 06 - Threaded Clients (Responsive Interfaces) Chapter 07 - Thread Pools and Services (Scalable Programming) Chapter 08 - Messaging (Lightweight Communication) Chapter 09 - COM (Component Services) Chapter 10 - Enterprise Application Modeling Chapter 11 - Advanced Remoting Techniques Chapter 12 - Optimizing the Data Tier Chapter 13 - Implementing Security Chapter 14 - Monitoring, Logging, and Profiling Chapter 15 - Deployment Strategies Chapter 16 - Invoicer.NET Traveling Sales Chapter 17 - Transact.NET Order Fulfillment Chapter 18 - SuperCompute.NET Work Requests Chapter 19 - MS Case Studies password: ganelon ID132382 132382 Drink 27 Jul 2007 19:33 MIRROR : IceFile.com ID:586399 586399
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