Toward a Global Data Infrastructure
Autor: | Edward A. Lee, Nicholas Sun, Ken Lutz, John Kolb, Nitesh Mor, Eric Allman, John Kubiatowicz, John Wawrzynek, Douglas Chan, Ben Zhang, Nikhil Goyal |
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Rok vydání: | 2016 |
Předmět: |
Communications Technologies
Ubiquitous computing Computer Networks and Communications business.industry Computer science Reliability (computer networking) 020206 networking & telecommunications Cryptography Cloud computing 02 engineering and technology Computer security computer.software_genre 0202 electrical engineering electronic engineering information engineering Forwarding plane 020201 artificial intelligence & image processing Patient Safety Enhanced Data Rates for GSM Evolution Electrical and Electronic Engineering Distributed Computing Networking & Telecommunications business computer Cloud storage Abstraction (linguistics) |
Zdroj: | IEEE Internet Computing, vol 20, iss 3 Mor, N; Zhang, B; Kolb, J; Chan, DS; Goyal, N; Sun, N; et al.(2016). Toward a Global Data Infrastructure. IEEE Internet Computing, 20(3), 54-62. doi: 10.1109/MIC.2016.51. UC Berkeley: Retrieved from: http://www.escholarship.org/uc/item/32b85403 |
ISSN: | 1089-7801 |
Popis: | © 1997-2012 IEEE. The Internet of Things (IoT) represents a new class of applications that can benefit from cloud infrastructure. However, directly connecting smart devices to the cloud has multiple disadvantages and is unlikely to keep up with the growing speed of the IoT or the diverse needs of IoT applications. Here, the authors argue that fundamental IoT properties prevent the current approach from scaling. What's missing is a well-architected system extending cloud functionality and providing seamless interplay among heterogeneous components closer to the edge in the IoT space. Raising the level of abstraction to a data-centric design-focused around the distribution, preservation, and protection of information-better matches the IoT. To address such problems with the cloud-centric architecture, the authors present their early work on a distributed platform, the Global Data Plane. |
Databáze: | OpenAIRE |
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