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Books on the topic 'Decentralized computing'

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Author: Grafiati

Published: 4 June 2021

Last updated: 9 February 2022

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1

Duckham, Matt. Decentralized Spatial Computing. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-30853-6.

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2

Duckham, Matt. Decentralized Spatial Computing: Foundations of Geosensor Networks. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013.

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3

Viterbo, José. Decentralized Reasoning in Ambient Intelligence. London: Springer London, 2012.

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4

International Symposium on Autonomous Decentralized Systems (5th 2001 Dallas, Tex.). Fifth International Symposium on Autonomous Decentralized Systems: Proceedings : 26-28 March, 2001, Dallas, Texas. Los Alamitos, Calif: IEEE Computer Society, 2001.

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5

International Symposium on Autonomous Decentralized Systems (1st 1993 Kawasaki-shi, Japan). ISADS 93, International Symposium on Autonomous Decentralized Systems, March 30-April 1, 1993, Kawasaki, Japan: Proceedings. Los Alamitos, Calif: IEEE Computer Society Press, 1993.

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6

International Symposium on Autonomous Decentralized Systems (2nd 1995 Phoenix, Ariz.). ISADS 95, Second International Symposium on Autonomous Decentralized Systems: Proceedings, April 25-27, 1995, Phoenix, Arizona, USA. Los Alamitos, Calif: IEEE Computer Society Press, 1995.

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7

International Symposium on Autonomous Decentralized Systems (3rd 1997 Berlin, Germany). ISADS 97, Third International Symposium on Autonomous Decentralized Systems: Proceedings, April 9-11, 1997, Berlin, Germany. Los Alamitos, Calif: IEEE Computer Society Press, 1997.

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8

Babovic, Vladan. Emergence, evolution, intelligence: Hydroinformatics : a study of distributed and decentralised computing using intelligent agents. Rotterdam: A.A. Balkema, 1996.

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9

Decentralized Spatial Computing. Springer, 2012.

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10

Sahay, Sundeep, T. Sundararaman, and Jørn Braa. Decentralized Information Use. Oxford University Press, 2017. http://dx.doi.org/10.1093/med/9780198758778.003.0005.

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Abstract:

This chapter seeks to explore the challenge and opportunities that cloud computing and big data offer to strengthen public health informatics in LMICs. Cloud computing is slowly becoming a norm, almost representing a technical and social order which we do not fully understand, but need to accept. While there is a multiplicity of understandings associated with the cloud, we often focus only on its technical elements, while ignoring the business model that underlies it. This incomplete understanding may lead to LMICs making investments in solutions which are unsustainable, while also creating new challenges and demands for capacity. The cloud also raises key dilemmas around participation, decentralization, and ownership of data. Developments in big data, necessarily dependent on the cloud, are another source of challenges and opportunities for LMICs. Whether we like it or not, cloud computing and big data are integral elements to develop the Expanded PHI perspective, and we need to find appropriate approaches to do so.

11

Endler, Markus, and José Viterbo. Decentralized Reasoning in Ambient Intelligence. Springer, 2012.

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12

Institute of Electrical and Electronics. 6th International Symposium on Autonomous Decentralized Systems, Isads 2003. Institute of Electrical & Electronics Enginee, 2003.

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13

ISADS 93, International Symposium on Autonomous Decentralized Systems, March 30-April 1, 1993, Kawasaki, Japan: Proceedings. IEEE Computer Society Press, 1993.

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14

Methodologies And Technologies For Networked Enterprises Artdeco Adaptive Infrastructures For Decentralized Organizations. Springer, 2012.

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15

IEEE Computer Society and Institute Of Electrical and Electronics Engineers. Isads 97: Third International Symposium on Autonomous Decentralized Systems : April 9-11, 1997, Berlin, Germany : Proceedings. Institute of Electrical & Electronics Enginee, 1997.

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16

ISADS 95, Third International Symposium on Autonomous Decentralized Systems: Proceedings, April 9-11, 1997, Berlin, Germany. IEEE Computer Society Press, 1997.

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17

Chourou, Lamia. Virtual Currencies as Commodities. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780190656010.003.0026.

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Abstract:

The rapid advancement in encryption and network computing gave birth to new tools and products that have influenced the local and global economy alike. One recent and notable example is the emergence of virtual currencies, also known as cryptocurrencies or digital currencies. Virtual currencies, such as Bitcoin, introduced a fundamental transformation that affected the way goods, services, and assets are exchanged. As a result of their distributed ledgers based on blockchains, cryptocurrencies not only offer some unique advantages to the economy, investors, and consumers, but also pose considerable risks to users and challenges for regulators when fitting the new technology into the old legal framework. This chapter offers a nontechnical discussion of several aspects and features of virtual currencies and a glimpse at what the future may hold for these decentralized currencies.