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Network routing: algorithms, protocols, and architectures
Network Routing: Algorithms, Protocols, and Architectures, Second Edition explores network routing and how it can be broadly categorized into Internet routing, PSTN routing, and telecommunication transport network routing. The book systematically considers these routing paradigms, as well as their interoperability, discussing how algorithms, protocols, analysis, and operational deployment impact these approaches and addressing both macro-state and micro-state in routing. Readers will learn about the evolution of network routing, the role of IP and E.164 addressing and traffic engineering in routing, the impact on router and switching architectures and their design, deployment of network routing protocols, and lessons learned from implementation and operational experience. Numerous real-world examples bring the material alive.
Bridges the gap between theory and practice in network routing, including the fine points of implementation and operational experienceRouting in a multitude of technologies discussed in practical detail, including, IP/MPLS, PSTN, and optical networkingPresents routing protocols such as OSPF, IS-IS, BGP in detailDetails various router and switch architecturesDiscusses algorithms on IP-lookup and packet classificationAccessible to a wide audience with a vendor-neutral approach
eBook
Deep learning approach for microarray cancer data classification
Analysis of microarray data is a highly challenging problem due to the inherent complexity in the nature of the data associated with higher dimensionality, smaller sample size, imbalanced number of classes, noisy data-structure, and higher variance of feature values. This has led to lesser classification accuracy and over-fitting problem. In this work, the authors aimed to develop a deep feedforward method to classify the given microarray cancer data into a set of classes for subsequent diagnosis purposes. They have used a 7-layer deep neural network architecture having various parameters for each dataset. The small sample size and dimensionality problems are addressed by considering a well-known dimensionality reduction technique namely principal component analysis. The feature values are scaled using the Min–Max approach and the proposed approach is validated on eight standard microarray cancer datasets. To measure the loss, a binary cross-entropy is used and adaptive moment estimation is considered for optimisation. The performance of the proposed approach is evaluated using classification accuracy, precision, recall, f-measure, log-loss, receiver operating characteristic curve, and confusion matrix. A comparative analysis with state-of-the-art methods is carried out and the performance of the proposed approach exhibit better performance than many of the existing methods.
Journal Article
Cairo : renewing the historic city
This book reveals how the Aga Khan Development Network and its Historic Cities Programme transformed an area of Cairo's urban blight into a dynamic public space. Once a city of verdant gardens and parks, Cairo in the 1980s was severely overcrowded, economically struggling, and many of its inhabitants lived in unsanitary conditions. Historic Cairo, a World Heritage Site centered on the original Fatimid settlement of Cairo, has presented a challenge to conservationists and urban planners over the years as they have sought to protect the city's heritage while it remains a living city. Understanding how the process of decline could be reversed by restoring monuments and building a new park, the Aga Khan Development Network (AKDN) set about revitalizing the Darb al Ahmar area and creating Al Azhar Park. This book features numerous scholarly contributors and authors who participated in the program, and shows how the conservation effort paid off in countless ways.
BOOK
Network routing : algorithms, protocols, and architectures
Network routing can be broadly categorized into Internet routing, PSTN routing, and telecommunication transport network routing. This book systematically considers these routing paradigms, as well as their interoperability. The authors discuss how algorithms, protocols, analysis, and operational deployment impact these approaches. A unique feature of the book is consideration of both macro-state and micro-state in routing; that is, how routing is accomplished at the level of networks and how routers or switches are designed to enable efficient routing.In reading this book, one will learn about 1) the evolution of network routing, 2) the role of IP and E.164 addressing in routing, 3) the impact on router and switching architectures and their design, 4) deployment of network routing protocols, 5) the role of traffic engineering in routing, and 6) lessons learned from implementation and operational experience. This book explores the strengths and weaknesses that should be considered during deployment of future routing schemes as well as actual implementation of these schemes. It allows the reader to understand how different routing strategies work and are employed and the connection between them. This is accomplished in part by the authors' use of numerous real-world examples to bring the material alive.
. Bridges the gap between theory and practice in network routing, including the fine points of implementation and operational experience . Routing in a multitude of technologies discussed in practical detail, including, IP/MPLS, PSTN, and optical networking . Routing protocols such as OSPF, IS-IS, BGP presented in detail . A detailed coverage of various router and switch architectures . A comprehensive discussion about algorithms on IP-lookup and packet classification . Accessible to a wide audience due to its vendor-neutral approach . CD-ROM with bonus chapters on advanced topics
eBook
Service in the AI Era
Are you prepared for the coming AI era?AI advances will profoundly change your daily service interactions, so this book provides readers with a necessary understanding of service, the application of resources (e.g., knowledge) for the benefit of another. In just minutes, you can learn about today's use of early-stage AI for automation and augmentation, and essential elements of service science, service-dominant (S-D) logic, and Service Dominant Architecture (SDA).Ultimately improved service for all is possible with human-level AI and digital twins - but requires investing wisely in better models: Better models of the world both complex natural and social systems (science), better mental-models in people to improve interactions (logic), better cultural and structural models of organizations to improve change (architecture), and better trusted and responsible AI models. The service innovation community studies and builds better models to improve interactions and change in business and society.The book challenges all responsible actors - individuals, businesses, universities, and governments - to invest systematically and wisely to upskill with AI (the X+AI vision). The service innovation community is a growing transdiscipline harnessing all disciplines to become better T-shaped professionals. Extensive end notes, bibliography, and index are provided.
eBook
Integrated SDN-NFV 5G Network Performance and Management-Complexity Evaluation
Digitalization is one of the factors that affects the acceleration of the application of telecommunications technologies such as 5G. The 5G technology that has been developed today does not yet meet different performance and manageability standards, particularly for data center networks as a supportive technology. Software-defined networking (SDN) and network function virtualization (NFV) are two complementary technologies that are currently used by almost all data centers in the telecommunications industry to rectify performance and manageability issues. In this study, we deliver an integrated SDN-NFV architecture to simplify network management activities in telecommunication companies. To improve network performance at the computing level, we performed a modification of a networking system at the computing level, underlying NFV devices by replacing the default virtual switch with a data plane development kit (DPDK) and single root I/O virtualization (SR-IOV). This study evaluated the proposed architecture design in terms of network performance and manageability. Based on 30 days of observation in prime time, the proposed solution increased throughput up to 200 Mbps for the server leaf and 1.6 Gbps for the border leaf compared to the legacy architecture. Meanwhile, the latency decreased to 12 ms for the server leaf and 17 ms for the border leaf. For manageability, we tested three different scenarios and achieved savings of 13 min for Scenario 1, 22 min for Scenario 2 and 9 min for Scenario 3.
Journal Article
Dynamic Weight Agnostic Neural Networks and Medical Microwave Radiometry (MWR) for Breast Cancer Diagnostics
Background and Objective: Medical microwave radiometry (MWR) is used to capture the thermal properties of internal tissues and has usages in breast cancer detection. Our goal in this paper is to improve classification performance and investigate automated neural architecture search methods. Methods: We investigated extending the weight agnostic neural network by optimizing the weights using the bi-population covariance matrix adaptation evolution strategy (BIPOP-CMA-ES) once the topology was found. We evaluated and compared the model based on the F1 score, accuracy, precision, recall, and the number of connections. Results: The experiments were conducted on a dataset of 4912 patients, classified as low or high risk for breast cancer. The weight agnostic BIPOP-CMA-ES model achieved the best average performance. It obtained an F1-score of 0.933, accuracy of 0.932, precision of 0.929, recall of 0.942, and 163 connections. Conclusions: The results of the model are an indication of the promising potential of MWR utilizing a neural network-based diagnostic tool for cancer detection. By separating the tasks of topology search and weight training, we can improve the overall performance.
Journal Article
