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Decentralized Spatial Computing

2012-07-27 Science
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Release : 2012-07-27
Genre : Science
Kind : eBook
Book Rating : 538/5 ( reviews)

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Book Synopsis Decentralized Spatial Computing by : Matt Duckham

Download or read book Decentralized Spatial Computing written by Matt Duckham. This book was released on 2012-07-27. Available in PDF, EPUB and Kindle. Book excerpt: Computing increasingly happens somewhere, with that geographic location important to the computational process itself. Many new and evolving spatial technologies, such as geosensor networks and smartphones, embody this trend. Conventional approaches to spatial computing are centralized, and do not account for the inherently decentralized nature of "computing somewhere": the limited, local knowledge of individual system components, and the interaction between those components at different locations. On the other hand, despite being an established topic in distributed systems, decentralized computing is not concerned with geographical constraints to the generation and movement of information. In this context, of (centralized) spatial computing and decentralized (non-spatial) computing, the key question becomes: "What makes decentralized spatial computing special?" In Part I of the book the author covers the foundational concepts, structures, and design techniques for decentralized computing with spatial and spatiotemporal information. In Part II he applies those concepts and techniques to the development of algorithms for decentralized spatial computing, stepping through a suite of increasingly sophisticated algorithms: from algorithms with minimal spatial information about their neighborhoods; to algorithms with access to more detailed spatial information, such as direction, distance, or coordinate location; to truly spatiotemporal algorithms that monitor environments that are dynamic, even using networks that are mobile or volatile. Finally, in Part III the author shows how decentralized spatial and spatiotemporal algorithms designed using the techniques explored in Part II can be simulated and tested. In particular, he investigates empirically the important properties of a decentralized spatial algorithm: its computational efficiency and its robustness to unavoidable uncertainty. Part III concludes with a survey of the opportunities for connecting decentralized spatial computing to ongoing research and emerging hot topics in related fields, such as biologically inspired computing, geovisualization, and stream computing. The book is written for students and researchers of computer science and geographic information science. Throughout the book the author's style is characterized by a focus on the broader message, explaining the process of decentralized spatial algorithm design rather than the technical details. Each chapter ends with review questions designed to test the reader's understanding of the material and to point to further work or research. The book includes short appendices on discrete mathematics and SQL. Simulation models written in NetLogo and associated source code for all the algorithms presented in the book can be found on the author's accompanying website.

Distributed and Mobile Spatial Computing

2008
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Release : 2008
Genre :
Kind : eBook
Book Rating : /5 ( reviews)

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Book Synopsis Distributed and Mobile Spatial Computing by :

Download or read book Distributed and Mobile Spatial Computing written by . This book was released on 2008. Available in PDF, EPUB and Kindle. Book excerpt:

Decentralized Systems and Distributed Computing

2024-08-20 Computers
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Release : 2024-08-20
Genre : Computers
Kind : eBook
Book Rating : 361/5 ( reviews)

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Book Synopsis Decentralized Systems and Distributed Computing by : Sandhya Avasthi

Download or read book Decentralized Systems and Distributed Computing written by Sandhya Avasthi. This book was released on 2024-08-20. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a comprehensive exploration of next-generation internet, distributed systems, and distributed computing, offering valuable insights into their impact on society and the future of technology. The use of distributed systems is a big step forward in IT and computer science. As the number of tasks that depend on each other grows, a single machine can no longer handle all of them. Distributed computing is better than traditional computer settings in several ways. Distributed systems reduce the risks of a single point of failure, making them more reliable and able to handle mistakes. Most modern distributed systems are made to be scalable, which means that processing power can be added on the fly to improve performance. The internet of the future is meant to give us freedom and choices, encourage diversity and decentralization, and make it easier for people to be creative and do research. By making the internet more three-dimensional and immersive, the metaverse could introduce more ways to use it. Some people have expressed negative things about the metaverse, and there is much uncertainty regarding its future. Analysts in the field have pondered if the metaverse will differ much from our current digital experiences, and if so, whether people will be willing to spend hours per day exploring virtual space while wearing a headset. This book will look at the different aspects of the next-generation internet, distributed systems, distributed computing, and their effects on society as a whole.

Geospatial Analysis and Modelling of Urban Structure and Dynamics

2010-06-16 Science
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Release : 2010-06-16
Genre : Science
Kind : eBook
Book Rating : 726/5 ( reviews)

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Book Synopsis Geospatial Analysis and Modelling of Urban Structure and Dynamics by : Bin Jiang

Download or read book Geospatial Analysis and Modelling of Urban Structure and Dynamics written by Bin Jiang. This book was released on 2010-06-16. Available in PDF, EPUB and Kindle. Book excerpt: A Coming of Age: Geospatial Analysis and Modelling in the Early Twenty First Century Forty years ago when spatial analysis first emerged as a distinct theme within geography’s quantitative revolution, the focus was largely on consistent methods for measuring spatial correlation. The concept of spatial au- correlation took pride of place, mirroring concerns in time-series analysis about similar kinds of dependence known to distort the standard probability theory used to derive appropriate statistics. Early applications of spatial correlation tended to reflect geographical patterns expressed as points. The perspective taken on such analytical thinking was founded on induction, the search for pattern in data with a view to suggesting appropriate hypotheses which could subsequently be tested. In parallel but using very different techniques came the development of a more deductive style of analysis based on modelling and thence simulation. Here the focus was on translating prior theory into forms for generating testable predictions whose outcomes could be compared with observations about some system or phenomenon of interest. In the intervening years, spatial analysis has broadened to embrace both inductive and deductive approaches, often combining both in different mixes for the variety of problems to which it is now applied.

Computational Movement Analysis

2014-09-02 Computers
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Release : 2014-09-02
Genre : Computers
Kind : eBook
Book Rating : 680/5 ( reviews)

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Book Synopsis Computational Movement Analysis by : Patrick Laube

Download or read book Computational Movement Analysis written by Patrick Laube. This book was released on 2014-09-02. Available in PDF, EPUB and Kindle. Book excerpt: This SpringerBrief discusses the characteristics of spatiotemporal movement data, including uncertainty and scale. It investigates three core aspects of Computational Movement Analysis: Conceptual modeling of movement and movement spaces, spatiotemporal analysis methods aiming at a better understanding of movement processes (with a focus on data mining for movement patterns), and using decentralized spatial computing methods in movement analysis. The author presents Computational Movement Analysis as an interdisciplinary umbrella for analyzing movement processes with methods from a range of fields including GIScience, spatiotemporal databases and data mining. Key challenges in Computational Movement Analysis include bridging the semantic gap, privacy issues when movement data involves people, incorporating big and open data, and opportunities for decentralized movement analysis arising from the internet of things. The interdisciplinary concepts of Computational Movement Analysis make this an important book for professionals and students in computer science, geographic information science and its application areas, especially movement ecology and transportation research.

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