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Securing the Cloud Security Strategies for the Ubiquitous Data Center

TCP Performance over UMTS-HSDPA Systems

TCP Performance over UMTS-HSDPA Systems

The evolution of the mobile communication market is causing a major increase in data traffic demands. This could lead to disrupted mobility and intermittent degraded channel conditions that contribute to poor transmission control protocol (TCP) performance. TCP Performance over UMTS-HSDPA Systems presents a comprehensive study of the effect of TCP on achieved application bit rate performance and system capacity and shows how to reduce the interaction of wireless networks on TCP with minimal cost. With self-contained chapters the book consists of two main sections. The first several chapters provide background and describe the state of the art for wireless networks emphasizing one of the third-generation (3G) wireless technologies: the universal mobile telecommunications system (UMTS). These chapters also include an analysis of the overall cell capacity for UMTS Release 99 and high-speed downlink packet access (HSDPA) systems. The second section focuses on the interaction of TCP with wireless systems presenting an exhaustive list of TCP versions and link layer solutions that adapt TCP (often modifying the original TCP) to a wireless network. This section also displays mathematical modeling of the interaction of hybrid automatic repeat request (HARQ) and TCP in UMTS networks. While offering information for advanced undergraduate students who are unfamiliar with code division multiple access (CDMA) wireless systems as well as UMTS and HSDPA cellular systems the book also provides extensive coverage of TCP over wireless systems problems and solutions for researchers developers and graduate students.

GBP 56.99
1

Handbook of Data Management 1999 Edition

Handbook of Data Management 1999 Edition

Packed with dozens of no-nonsense chapters written by leading professionals Handbook of Data Management 1999 Edition shows your students how to design build and maintain high-performance high-availability databases in multiple environments. Handbook of Data Management 1999 Edition is the most comprehensive single-volume guide of its kind. The book provides the latest most innovative solutions for planning developing and running a powerful data management function. Here students will find exhaustive coverage of the range of data repositories (from legacy indexed files to object data bases and data warehouses) as well as details on everything from strategic planning to maximizing database performance. Completely revised and updated to reflect latebreaking technologies Handbook of Data Management 1999 Edition includes extensive case studies and straightforward descriptions showing students how to:implement Web-enabled data warehousesbuild multimedia databasesmaster data mininguse enterprise database modelingstay up-to-date with data conversion and migrationmaximize OLAP architectures and toolsHandbook of Data Management 1999 Edition also provides ongoing coverage of the latest tools and techniques regarding:organization for quality information systemsdata definitiondatabase design and managementobject and hybrid databasesand moreEach contributor to Handbook of Data Management 1999 Edition is an expert with first-hand experience in database and data management. These contributors provide a depth and breadth of coverage you and your students simply won't find anywhere else. Prepare your students for real-world business computing. Start them off with Handbook of Data Management 1999 Edition.

GBP 425.00
1

Risk Analytics Data-Driven Decisions under Uncertainty

Risk Analytics Data-Driven Decisions under Uncertainty

The 2022 World Economic Forum surveyed 1 000 experts and leaders who indicated their risk perception that the earth’s conditions for humans are a main concern in the next 10 years. This means environmental risks are a priority to study in a formal way. At the same time innovation risks are present in theminds of leaders newknowledge brings new risk and the adaptation and adoption of risk knowledge is required to better understand the causes and effects can have on technological risks. These opportunities require not only adopting new ways of managing and controlling emerging processes for society and business but also adapting organizations to changes and managing new risks. Risk Analytics: Data-Driven Decisions Under Uncertainty introduces a way to analyze and design a risk analytics system (RAS) that integrates multiple approaches to risk analytics to deal with diverse types of data and problems. A risk analytics system is a hybrid system where human and artificial intelligence interact with a data gathering and selection process that uses multiple sources to the delivery of guidelines to make decisions that include humans and machines. The RAS system is an integration of components such as data architecture with diverse data and a risk analytics process and modeling process to obtain knowledge and then determine actions through the new knowledge that was obtained. The use of data analytics is not only connected to risk modeling and its implementation but also to the development of the actionable knowledge that can be represented by text in documents to define and share explicit knowledge and guidelines in the organization for strategy implementation. This book moves from a review of data to the concepts of a RAS. It reviews RAS system components required to support the creation of competitive advantage in organizations through risk analytics. Written for executives analytics professionals risk management professionals strategy professionals and postgraduate students this book shows a way to implement the analytics process to develop a risk management practice that creates an adaptive competitive advantage under uncertainty. | Risk Analytics Data-Driven Decisions under Uncertainty

GBP 74.99
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