In Patterns in Network Architecture, pioneer John Day takes a unique approach to solving the problem of network architecture. Piercing the fog of history, he bridges the gap between our experience from the original ARPANET and today’s Internet to a new perspective on networking. Along the way, he shows how socioeconomic forces derailed progress and led to the current crisis. Beginning with the seven fundamental, and still unanswered, questions identified during the ARPANET’s development, Patterns in Network Architecture returns to bedrock and traces our experience both good and bad. Along the way, he uncovers overlooked patterns in protocols that simplify design and implementation and resolves the classic conflict between connection and connectionless while retaining the best of both. He finds deep new insights into the core challenges of naming and addressing, along with results from upper-layer architecture. All of this in Day’s deft hands comes together in a tour de force of elegance and simplicity with the annoying turn of events that the answer has been staring us in the face: Operating systems tell us even more about networking than we thought. The result is, in essence, the first “unified theory of networking,” and leads to a simpler, more powerful—and above all—more scalable network infrastructure. The book then lays the groundwork for how to exploit the result in the design, development, and management as we move beyond the limitations of the Internet.

Groundbreaking Patterns for Building Simpler, More Powerful Networks InPatterns in Network Architecture, pioneer John Day takes a unique approach to solving the problem of network architecture. Piercing the fog of history, he bridges the gap between our experience from the original ARPANET and today’s Internet to a new perspective on networking. Along the way, he shows how socioeconomic forces derailed progress and led to the current crisis. Beginning with the seven fundamental, and still unanswered, questions identified during the ARPANET’s development,Patterns in Network Architecturereturns to bedrock and traces our experience both good and bad. Along the way, he uncovers overlooked patterns in protocols that simplify design and implementation and resolves the classic conflict between connection and connectionless while retaining the best of both. He finds deep new insights into the core challenges of naming and addressing, along with results from upper-layer architecture. All of this in Day’s deft hands comes together in a tour de force of elegance and simplicity with the annoying turn of events that the answer has been staring us in the face: Operating systems tell us even more about networking than we thought. The result is, in essence, the first “unified theory of networking,” and leads to a simpler, more powerful–and above all–more scalable network infrastructure. The book then lays the groundwork for how to exploit the result in the design, development, and management as we move beyond the limitations of the Internet. Using this new model, Day shows how many complex mechanisms in the Internet today (multihoming, mobility, and multicast) are, with this collapse in complexity, now simply a consequence of the structure. The problems of router table growth of such concern today disappear. The inescapable conclusion is that the Internet is an unfinished demo, more in the tradition of DOS than Unix, that has been living on Moore’s Law and 30 years of band-aids. It is long past time to get networking back on track. • Patterns in network protocols that synthesize “contradictory” approaches and simplify design and implementation • “Deriving” that networking is interprocess communication (IPC) yielding • A distributed IPC model that repeats with different scope and range of operation • Making network addresses topological makes routing purely a local matter • That in fact, private addresses are the norm–not the exception–with the consequence that the global public addresses required today are unnecessary • That mobility is dynamic multihoming and unicast is a subset of multicast, but multicast devolves into unicast and facilitates mobility • That the Internet today is more like DOS, but what we need should be more like Unix • For networking researchers, architects, designers, engineers Provocative, elegant, and profound,Patterns in Network Architecturetransforms the way you envision, architect, and implement networks. Preface: The Seven Unanswered Questions xiii Chapter 1: Foundations for Network Architecture 1 Chapter 2: Protocol Elements 23 Chapter 3: Patterns in Protocols 57 Chapter 4: Stalking the Upper-Layer Architecture 97 Chapter 5: Naming and Addressing 141 Chapter 6: Divining Layers 185 Chapter 7: The Network IPC Model 235 Chapter 8: Making Addresses Topological 283 Chapter 9: Multihoming, Multicast, and Mobility 317 Chapter 10: Backing Out of a Blind Alley 351 Appendix A: Outline for Gedanken Experiment on Separating Mechanism and Policy 385 Bibliography 389 Index 399

Groundbreaking Patterns for Building Simpler, More Powerful Networks In Patterns in Network Architecture , pioneer John Day takes a unique approach to solving the problem of network architecture. Piercing the fog of history, he bridges the gap between our experience from the original ARPANET and today's Internet to a new perspective on networking. Along the way, he shows how socioeconomic forces derailed progress and led to the current crisis. Beginning with the seven fundamental, and still unanswered, questions identified during the ARPANET's development, Patterns in Network Architecture returns to bedrock and traces our experience both good and bad. Along the way, he uncovers overlooked patterns in protocols that simplify design and implementation and resolves the classic conflict between connection and connectionless while retaining the best of both. He finds deep new insights into the core challenges of naming and addressing, along with results from upper-layer architecture. All of this in Day's deft hands comes together in a tour de force of elegance and simplicity with the annoying turn of events that the answer has been staring us in the face: Operating systems tell us even more about networking than we thought. The result is, in essence, the first "unified theory of networking," and leads to a simpler, more powerful-and above all-more scalable network infrastructure. The book then lays the groundwork for how to exploit the result in the design, development, and management as we move beyond the limitations of the Internet. Using this new model, Day shows how many complex mechanisms in the Internet today (multihoming, mobility, and multicast) are, with this collapse in complexity, now simply a consequence of the structure. The problems of router table growth of such concern today disappear. The inescapable conclusion is that the Internet is an unfinished demo, more in the tradition of DOS than Unix, that has been living on Moore's Law and 30 years of band-aids. It is long past time to get networking back on track. • Patterns in network protocols that synthesize "contradictory" approaches and simplify design and implementation • "Deriving" that networking is interprocess communication (IPC) yielding • A distributed IPC model that repeats with different scope and range of operation • Making network addresses topological makes routing purely a local matter • That in fact, private addresses ...

Discover best practices, reproducible architectures, and design patterns to help guide deep learning models from the lab into production. In Deep Learning Patterns and Practices you will learn: Internal functioning of modern convolutional neural networks Procedural reuse design pattern for CNN architectures Models for mobile and IoT devices Assembling large-scale model deployments Optimizing hyperparameter tuning Migrating a model to a production environment The big challenge of deep learning lies in taking cutting-edge technologies from R&D labs through to production. Deep Learning Patterns and Practices is here to help. This unique guide lays out the latest deep learning insights from author Andrew Ferlitsch’s work with Google Cloud AI. In it, you'll find deep learning models presented in a unique new way: as extendable design patterns you can easily plug-and-play into your software projects. Each valuable technique is presented in a way that's easy to understand and filled with accessible diagrams and code samples. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Discover best practices, design patterns, and reproducible architectures that will guide your deep learning projects from the lab into production. This awesome book collects and illuminates the most relevant insights from a decade of real world deep learning experience. You’ll build your skills and confidence with each interesting example. About the book Deep Learning Patterns and Practices is a deep dive into building successful deep learning applications. You’ll save hours of trial-and-error by applying proven patterns and practices to your own projects. Tested code samples, real-world examples, and a brilliant narrative style make even complex concepts simple and engaging. Along the way, you’ll get tips for deploying, testing, and maintaining your projects. What's inside Modern convolutional neural networks Design pattern for CNN architectures Models for mobile and IoT devices Large-scale model deployments Examples for computer vision About the reader For machine learning engineers familiar with Python and deep learning. About the author Andrew Ferlitsch is an expert on computer vision, deep learning, and operationalizing ML in production at Google Cloud AI Developer Relations. Table of Contents PART 1 DEEP LEARNING FUNDAMENTALS 1 Designing modern machine learning 2 Deep neural networks 3 Convolutional and residual neural networks 4 Training fundamentals PART 2 BASIC DESIGN PATTERN 5 Procedural design pattern 6 Wide convolutional neural networks 7 Alternative connectivity patterns 8 Mobile convolutional neural networks 9 Autoencoders PART 3 WORKING WITH PIPELINES 10 Hyperparameter tuning 11 Transfer learning 12 Data distributions 13 Data pipeline 14 Training and deployment pipeline

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The Art of Network Architecture Business-Driven Design The business-centered, business-driven guide to architecting and evolving networks The Art of Network Architecture is the first book that places business needs and capabilities at the center of the process of architecting and evolving networks. Two leading enterprise network architects help you craft solutions that are fully aligned with business strategy, smoothly accommodate change, and maximize future flexibility. Russ White and Denise Donohue guide network designers in asking and answering the crucial questions that lead to elegant, high-value solutions. Carefully blending business and technical concerns, they show how to optimize all network interactions involving flow, time, and people. The authors review important links between business requirements and network design, helping you capture the information you need to design effectively. They introduce today’s most useful models and frameworks, fully addressing modularity, resilience, security, and management. Next, they drill down into network structure and topology, covering virtualization, overlays, modern routing choices, and highly complex network environments. In the final section, the authors integrate all these ideas to consider four realistic design challenges: user mobility, cloud services, Software Defined Networking (SDN), and today’s radically new data center environments. • Understand how your choices of technologies and design paradigms will impact your business • Customize designs to improve workflows, support BYOD, and ensure business continuity • Use modularity, simplicity, and network management to prepare for rapid change • Build resilience by addressing human factors and redundancy • Design for security, hardening networks without making them brittle • Minimize network management pain, and maximize gain • Compare topologies and their tradeoffs • Consider the implications of network virtualization, and walk through an MPLS-based L3VPN example • Choose routing protocols in the context of business and IT requirements • Maximize mobility via ILNP, LISP, Mobile IP, host routing, MANET, and/or DDNS • Learn about the challenges of removing and changing services hosted in cloud environments • Understand the opportunities and risks presented by SDNs • Effectively design data center control planes and topologies

Do you need to learn about cloud computing architecture with Microsoft's Azure quickly? Read this book! It gives you just enough info on the big picture and is filled with key terminology so that you can join the discussion on cloud architecture.