Toward a Global Data Infrastructure

Nitesh Mor, Ben Zhang, John Kolb, Douglas S. Chan, Nikhil Goyal, Nicholas Sun, Ken Lutz, Eric Allman, John Wawrzynek, Edward A. Lee, John Kubiatowicz

Research output: Contribution to journalArticlepeer-review

18 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article number7436637
Pages (from-to)54-62
Number of pages9
JournalIEEE Internet Computing
Volume20
Issue number3
DOIs
StatePublished - May 1 2016
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1997-2012 IEEE.

Keywords

  • Internet/Web technologies
  • and serviceability
  • availability
  • cloud computing
  • cloud infrastructure
  • cloud storage
  • distributed systems
  • information storage
  • reliability
  • ubiquitous computing

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